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The FiltrateJoel Topf Bluesky: @kidneyboy.bsky.socialJordy Cohen Bluesky: @jordybc.bsky.socialSwapnil Hiremath Bluesky: @hswapnil.medsky.socialSpecial Guest Edouard “call me Ed” Fu Assistant Professor and Medical Student, and second author of his second paper covered on NephJC. LinkedIn | Leiden University Medical CenterEditing bySimon Topf and Sophia AmbrusoThe Kidney Connection written and performed by by Tim YauShow NotesEd's first paper on NephJC: Timing of dialysis initiation to reduce mortality and cardiovascular events in advanced chronic kidney disease: nationwide cohort study (NephJC | BMJ)Phenformin Wikipedia | Boca Raton NewsThe metformin black box (as part of the FDA Label)WARNING: LACTIC ACIDOSISPostmarketing cases of metformin-associated lactic acidosis have resulted in death, hypothermia, hypotension, and resistant bradyarrhythmias. The onset of metforminassociated lactic acidosis is often subtle, accompanied only by nonspecific symptoms such as malaise, myalgias, respiratory distress, somnolence, and abdominal pain. Metforminassociated lactic acidosis was characterized by elevated blood lactate levels (>5 mmol/Liter), anion gap acidosis (without evidence of ketonuria or ketonemia), an increased lactate/pyruvate ratio; and metformin plasma levels generally >5 mcg/mL (see PRECAUTIONS).Risk factors for metformin-associated lactic acidosis include renal impairment, concomitant use of certain drugs (e.g. carbonic anhydrase inhibitors such as topiramate), age 65 years old or greater, having a radiological study with contrast, surgery and other procedures, hypoxic states (e.g., acute congestive heart failure), excessive alcohol intake, and hepatic impairment.Steps to reduce the risk of and manage metformin-associated lactic acidosis in these high risk groups are provided (see DOSAGE AND ADMINISTRATION, CONTRAINDICATIONS, and PRECAUTIONS).If metformin-associated lactic acidosis is suspected, immediately discontinue metformin and institute general supportive measures in a hospital setting. Prompt hemodialysis is recommended (see PRECAUTIONS).Target Trial Emulation A Framework for Causal Inference From Observational Data. Miguel A. Hernán, MD, DrPH; Wei Wang, PhD; David E. Leaf, MD JAMA 2022Stopping Versus Continuing Metformin in Patients With Advanced CKD: A Nationwide Scottish Target Trial Emulation Study (NephJC | PubMed)Toxicokinetics of Metformin During Hemodialysis (KI Reports)Metformin in People With Diabetes and Advanced CKD: Should We Dare? Editorial that ran in AJKD along side the Lambourg manuscript (AJKD)Immortal Time Bias in Cohort Studies of Kidney Transplant Recipients (Kim SJ Amer J Trans 2010)Ed's Target trial review in JASN which Jordy mentioned and includes an explanation of the obesity paradox by depletion of the susceptibles. (Fu JASN 2023)Ed's Grand Rounds at Ottawa on YouTube. Very good.Response by Cohen et al to Letter Regarding Article, “Association of Inpatient Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers With Mortality Among Patients With Hypertension Hospitalized With COVID-19” by Jordy and the crew Circ Res 2000Review article on the issue: Evaluating sources of bias in observational studies of angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker use during COVID-19: beyond confounding Jordy and a different crew J Hyperten 2021Figure S5: Weighted cumulative incidence curves for MACE, by treatment strategyThe S4 image that Swap lovedTubular SecretionsJordy Andor Season 2 on Disney+ (Wikipedia)Swapnil Murderbot on Apple TV+ (Wikipedia)Eduoard: New house and grant Grant Grant (Wikipedia)Joel Topf Three Body Problem Audio book (Audible)
In this episode of History 102, 'WhatIfAltHist' creator Rudyard Lynch and co-host Austin Padgett explore the Völkerwanderung—the massive Germanic, Slavic, and Arabic migrations (200 BC-600 AD) that transformed Europe from Mediterranean-centered classical civilization into the foundations of medieval Christendom. --
Česko 4. července zažilo největší výpadek elektřiny, jaký pamatujeme. Ve výsledku nás možná více zarazila špatná komunikace společnosti ČEPS, která v tuzemsku zajišťuje provoz páteřních přenosových sítí. Rozsáhlý výpadek spustila závada na vedení. Během pár minut se odehrála kaskáda událostí, která situaci zapříčinila.Provoz přenosové soustavy byl během pár hodin obnoven, v krizové situaci jsme ale postrádali informace. ČEPS nezvládl komunikovat dostatečně rychle a srozumitelně. Nejvíce nám chyběly informace na jeho webu, který navíc zhavaroval. Dnes už na něm visí otázky a odpovědi. Mlčení firmy v kritických okamžicích dalo prostor misinformacím a dezinformacím.01:56 – Případ fázového vodiče12:11 – Přenosová a distribuční soustava20:54 – Rekapitulace selhání25:04 – Chyby v komunikaci42:05 – Poučíme se?
Město Špindlerův Mlýn a partnerský polský Podgórzyn vybudují novou pěší stezku, která propojí české a polské Krkonoše. Název bude mít "Mlynářovo turistické a přírodovědné putování".
00:00-15:00: 93Q's Rick Roberts joins the show to chat career, how it all began, his love for radio, old work times with ML, what's next for the industry, behind the curtain as program director and more.
Thanks to MLflow for supporting this episode — the platform helping teams track, manage, and deploy ML and GenAI projects with ease. Try it free at mlflow.org.What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.// BioJiquan Ngiam is the Co-Founder and CEO of Lutra AI, with deep expertise in artificial intelligence and machine learning. He was previously at Google Brain, Coursera, and in the Stanford CS Ph.D. program advised by Andrew Ng. He helped develop the first online courses in Machine Learning, and is now building agentic AI systems that can complete tasks for us.// Related Linkshttps://www.youtube.com/@LutraAI#api #llm #lutra #costefficiency #latentspace ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jiquan on LinkedIn: /jngiam/Timestamps:[00:00] Agents That Actually Do Work[08:21] Building Tables With AI Help[12:54] Guardrails for Smarter Code[16:35 - 18:00] MLFlow Ad[18:30] What's Next for MCP?[23:23] AI as Your Data Conductor[31:13] Rethinking AI + Data Stacks[32:10] Sandbox Security, Real Risks[40:48] Smarter Reviews, Powered by Use[46:08] Cost vs. Quality in AI[52:00] Podcast Editing Gets Creative[56:27] Transparent UIs, Powered by AI[01:00:28] Can AI Learn Good Taste?[01:04:45] Peeking Into Wild AI Futures
Ryan Ermanni's new gig keeps him from a Fox 2 reunion with ML, so the newsman is forced to grab […]
Send us a textJosh Haimson is Co-Founder and CEO of Inductive Bio ( https://www.inductive.bio/about ), a technology company focused on democratizing artificial intelligence (AI) models to transform small molecule drug discovery, eliminating Absorption, Distribution, Metabolism, Excretion and Toxicology (ADMET) bottlenecks with state-of-the-art AI models and generative chemistry, powered by a unique pre-competitive data consortium.Josh has spent his career focused on the intersection of machine learning, product, and life sciences/healthcare.Prior to Inductive, Josh was the Director of Product for the ML and data curation organizations at Flatiron Health, where his teams worked to generate real-world evidence (RWE) at scale across Flatiron's network of over 2 million active cancer patients for use by researchers in pharma, academia, and government.Prior to Flatiron, Josh was at MIT studying computer science and working with researchers at Massachusetts General Hospital to use ML and NLP to predict patient response to cardiac resynchronization therapy.#JoshHaimson #InductiveBio #SmallMolecule #DrugDiscovery #Absorption #Distribution #Metabolism #Excretion #Toxicology #ADMET #AI #GenerativeChemistry #MachineLearning #CardiacResynchronizationTherapy #MolecularGlue #FlatironHealth #PreCompetitiveDataConsortium #RealWorldEvidence #RealWorldData #RWE #ArtificialIntelligence #ProgressPotentialAndPossibilities #IraPastor #Podcast #Podcaster #ViralPodcast #STEM #Innovation #Technology #Science #ResearchSupport the show
In episode 215, host Galit Friedlander and guest Stephanie Scull (dancer for Pharrell, Usher, America's Got Talent and founder of her own successful styling/costuming brand) get into the real-talk intersection of dance, identity, and personal style. Stephanie shares how her path took her from competitive dance and the fashion world to working major jobs in LA and what made her say yes to pivoting towards her own business. From audition looks to headshot rules to what “comfortable” really means when you're getting dressed for a career-defining moment, this one is full of practical gems and big-picture energy. We talk about boundaries, burnout, why dancers often forget their power, and how to use clothes to show the world who you are, before you even move. Follow Galit: Instagram - https://www.instagram.com/gogalit Website - https://www.gogalit.com/ Fit From Home - https://galit-s-school-0397.thinkific.com/courses/fit-from-home You can connect with Stephanie Scull on Instagram at https://www.instagram.com/scullysculls/. Stephanie's website is https://www.scullystyles.com. Listen to DanceSpeak on Apple Podcasts and Spotify.
*Disclaimer: The audio quality in this episode is unfortunately below our standards but we felt that the content was too valuable not to share it* In episode 215, host Galit Friedlander and guest Stephanie Scull (dancer for Pharrell, Usher, America's Got Talent and founder of her own successful styling/costuming brand) get into the real-talk intersection of dance, identity, and personal style. Stephanie shares how her path took her from competitive dance and the fashion world to working major jobs in LA and what made her say yes to pivoting towards her own business. From audition looks to headshot rules to what “comfortable” really means when you're getting dressed for a career-defining moment, this one is full of practical gems and big-picture energy. We talk about boundaries, burnout, why dancers often forget their power, and how to use clothes to show the world who you are, before you even move. Follow Galit: Instagram - https://www.instagram.com/gogalit Website - https://www.gogalit.com/ Fit From Home - https://galit-s-school-0397.thinkific.com/courses/fit-from-home You can connect with Stephanie Scull on Instagram at https://www.instagram.com/scullysculls/. Stephanie's website is https://www.scullystyles.com. Listen to DanceSpeak on Apple Podcasts and Spotify.
Join the Free Discord + View Our Podcast Record https://discord.gg/ZkzcH3mwHS Podcast Card: Marin Cilic/Jaume Antoni Munar Clar Over 39.5 games (-102) LA/Indiana Over 162.5 (-108) Minnesota -9.5 vs. Golden State (-110) MI New York ML vs. Los Angeles (-155) Real Madrid Regular Time ML vs. Dortmund (-155) Pittsburgh +1.5 at Seattle (-135) Washington First 5 ML vs. Boston (-130) Cincinnati/Philadelphia First 5 Under 4.5 (+100) Houston/LA Dodgers First 5 Under 4.5 (-115) Arizona ML vs. Kansas City (-126) Colorado First 5 ML vs. Chicago White Sox (-115) San Francisco First 5 -0.5 at Athletics (-130) New York Yankees ML at New York Mets (-148) #UDPartner Underdog Promo Code: PLAYME Signup Link: https://play.underdogfantasy.com/p-play-me-or-fade-me Learn more about your ad choices. Visit megaphone.fm/adchoices
Kai Wang joins the MLOps Community podcast LIVE to share how Uber built and scaled its ML platform, Michelangelo. From mission-critical models to tools for both beginners and experts, he walks us through Uber's AI playbook—and teases plans to open-source parts of it.// BioKai Wang is the product lead of the AI platform team at Uber, overseeing Uber's internal end-to-end ML platform called Michelangelo that powers 100% Uber's business-critical ML use cases.// Related LinksUber GenAI: https://www.uber.com/blog/from-predictive-to-generative-ai/#uber #podcast #ai #machinelearning ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kai on LinkedIn: /kai-wang-67457318/Timestamps:[00:00] Rethinking AI Beyond ChatGPT[04:01] How Devs Pick Their Tools[08:25] Measuring Dev Speed Smartly[10:14] Predictive Models at Uber[13:11] When ML Strategy Shifts[15:56] Smarter Uber Eats with AI[19:29] Summarizing Feedback with ML[23:27] GenAI That Users Notice[27:19] Inference at Scale: Michelangelo[32:26] Building Uber's AI Studio[33:50] Faster AI Agents, Less Pain[39:21] Evaluating Models at Uber[42:22] Why Uber Open-Sourced Machanjo[44:32] What Fuels Uber's AI Team
DJ HOT MAKER - SUMMER DANCE 2025 Привет! Твоему вниманию лучшие зарубежные треки за последнее время. 2 часа 37 минут. Микс без джинглов. Отличный фон на мероприятия, только иностранные известные треки! Хорошо подойдёт как фон на ивент, как фон на корпоратив, фон на тимбилдинг! Скачать и послушать в качестве 320 kB/s можно здесь или перейдя по ссылкам: t.me/dj_hot_maker и отсюда : disk.yandex.ru/d/39YHHpQYyd-Cl… djhotmaker.ru #house #pop #dj #djhotmaker #диджей #микс #новыймикс #музыка #music 00:00:00 1 Mаrshmеllо, Jоnаs Brоthеrs - Slоw Mоtiоn (аlех саsрiаn Rеmiх) 00:03:27 2 аlаn Wаlkеr, Mееk - Dаnсing In Lоvе (Skу Sоund ехtеndеd Rеmiх) 00:07:04 3 nаBBоо & Mоuniа - Slоw Dоwn (аlех саsрiаn Rеmiх) 00:10:09 4 уvеs Lаrосk - аnоthеr Dау (Miхеd) 00:13:00 5 суRIL, Dеаn Lеwis, аmiсе - Fаll аt уоur Fееt 00:16:21 6 Kуgо & оnеrерubliс - сhаsing раrаdisе (Intrо сlеаn) 00:18:54 7 Sорhiе аnd thе Giаnts, аmiсе - Shut Uр аnd Dаnсе 00:22:14 8 Lаdу Gаgа - аbrасаdаbrа (Djсitу Intrо) 00:25:51 9 соldрlау & TINI - Wе рRау (Dj Dаrk Rеmiх) [ехtеndеd] 00:29:09 10 Tорiс, а7S, аmiсе - оut Mу Hеаd 00:32:27 11 аlоk & Jеss Glуnnе - Summеr's Bасk (Tmu 'Sing It Bасk' Hуре Intrо) 00:35:15 12 Dаvid Guеttа & Siа - Bеаutiful реорlе (ехtеndеd) 00:38:31 13 аnаbеl еnglund - Gеt Busу (ехtеndеd Miх) 00:41:38 14 Kаskаdе, Grуffin, Nu-Lа - In Mу Hеаd (ехtеndеd Miх) 00:45:16 15 Thе сhаinsmоkеrs & Kim реtrаs - Dоn't Liе 135 00:47:10 16 Mаrtin Jеnsеn, Thе Stiсkmеn рrоjесt, Mаtt Stеffаninа - Dеереr Lоvе (ехtеndеd) 00:49:32 17 аvа Mах - Sроt а Fаkе (BLUMØNDау Hоusе Rеmiх) [Intrо Dirtу] 00:52:56 18 аllе Fаrbеn, Grаhаm саndу, Lаhоs - Flоwеrs (ехtеndеd) 00:56:11 19 еd Shееrаn - аzizаm (Dj Dаrk Rеmiх) (ехtеndеd) (сlеаn) 00:59:11 20 Rаg'n'Bоnе Mаn - Rush оf Blооd (D.о.D Rеmiх) 01:01:38 21 Rоsе F. Brunо Mаrs - арt 'араrtmеnt' (Vаndаl Rосk сlub Miх) 01:04:50 22 саlvin Hаrris - Blеssings (fеаt. сlеmеntinе Dоuglаs) 01:08:17 23 Shаbооzеу - а Bаr Sоng (Tiрsу (аlеssо Rеmiх) 01:10:37 24 KDDK - о-Lа-Lа (Rеd Linе & DJ JоN Rеmiх) 01:12:39 25 Sеаn раul, Innа - Lеt It Tаlk Tо Mе (Grееn & Vizitt Rеmiх) 01:16:28 26 Tеddу Swims - Bаd Drеаms (сhаrliе Lаnе Rеmiх) [Intrо сlеаn] 01:19:43 27 Fаst Bоу & сlосkсlосk - Bоrn аgаin (аlех саsрiаn Rеmiх) 01:22:49 28 FаST Bоу, Rаf, аmiсе - Wаvе 01:26:10 29 Tеddу Swims - Thе Dооr (соllini сlub Hоusе Rеdrum еdit) (сlеаn) 1а 126 01:29:13 30 R3HаB, Mufаsа & Hуреmаn, Rаni - Bеliеvе (Shооting Stаrs) (ехtеndеd Miх) 01:32:00 31 Kуliе Minоguе - Lights саmеrа асtiоn (ехtеndеd Miх) 01:35:20 32 Mаrtin Gаrriх F. Jех - Tоld уоu Sо (ехtеndеd Miх) 128 01:38:50 33 аlеssо & Nаtе Smith-I Likе It (сK Intrо-сlеаn) 10а 129 01:41:27 34 суRIL, аmiсе - Stumblin' In 01:45:48 35 Thе Mаgiсiаn, рurрlе Disсо Mасhinе - аll Mу Lifе ехtеndеd Miх 01:51:33 36 сhеаt соdеs ft. Trаin - Blооm (Intrо еdit) 01:53:35 37 Kуliе Minоguе, аlоk - lаst night i drеаmt i fеll in lоvе (ехtеndеd Miх) 01:56:47 38 Fеliх Jаеhn ft Sорhiе еllis-Bехtоr-Rеаdу Fоr уоur Lоvе (ехtеndеd Miх) 01:59:47 39 Kоlуа Funk & Mаtvеу еmеrsоn - Whаt Is Lоvе (еddiе G ехtеndеd Rеmiх) 02:02:22 40 ау уоLа - Hоmау (ауur Tsуrеnоv rеmiх) 02:05:00 41 Mеghаn Trаinоr - сriminаls (сhrоmео Rеmiх) 02:07:39 42 Hugеl & Tорiс & Dаесоlm - I аdоrе уоu (Igоr Blаskа vs еSQUIRе Rеmiх)(Intrо)(сlеаn) 02:11:33 43 Lоlа уоung - Mеssу (Dj оd Nu Disсо еdit) сlеаn 123 02:15:27 44 Zеrb, Tv Dоllа Sign & Wiz Khаlifа - Lосаtiоn - соllini сlub Hоusе раrtу Stаrtеr еdit(сlеаn) 02:18:21 45 GооDBоуS, Nu аsресt, аVаIоN - Blindsроt (ехtеndеd) 02:22:32 46 аvа Mах - Lоst уоur Fаith (ехtеndеd Miх) 02:25:14 47 Rау Dаltоn, аmiсе - аLL Wе GоT 02:27:51 48 R3hаb, Miсhаеl раtriсk Kеllу & Shаggу - Rеbеlliоn (ехtеndеd Miх) 02:30:31 49 Kаеуrа, аmiсе - Sоur 02:34:24 50 оnеrерubliс - Invinсiblе (Sk Miхshоw еdit) (сlеаn)
Demystifying Machine Learning for Marketers: a jargon-free guide to supervised, unsupervised, and deep learning applicationsIn this session, you will learn:What machine learning (ML) actually meansThe difference between supervised, unsupervised and deep learningWhere ML is already showing up in marketingHow to talk about ML confidently, even if you're not a data scientistMore webinars like this at Cambridge Marketing College http://marketingcollege.com/events
In this episode of the Tacos & Tech Podcast, host Neal Bloom chats with Jeremy Yamaguchi, Founder and CEO of Cabana. A longtime builder in the home services space, Jeremy is now focused on modernizing the pool care industry, one of the largest yet most overlooked service sectors in the U.S. Jeremy shares how his product and marketing background led him to build Cabana with a blend of operational efficiency, software tooling, and local team empowerment. He dives into his strategy around vertical SaaS, customer experience, and the importance of trust and taste when scaling service-based businesses. Key Topics Covered Why the pool industry is primed for tech-enabled reinvention Cabana's approach to building a national brand through software and service How acquisitions, W-2 teams, and onboarding systems set Cabana apart Why founder psychology and team culture matter in field operations Applying tech tools (including ML) to streamline quoting and scheduling Lessons from going through Y Combinator What “slope over Y-intercept” really means in early team building Jeremy's San Diego taco go-to and what makes a taco technically superior Links & Resources Cabana Pools Connect with Jeremy LinkedIn Connect with Neal Bloom LinkedIn: Neal Bloom Twitter: @NealBloom
What happens when the company you helped grow suddenly shuts down? For Mia Mazel, it sparked the launch of a brand new one, Talento. Recorded live at TMSA Elevate in Austin, this conversation with Mia explores her journey from grad student to logistics leader, how she navigated the closure of Sworkz, and how Talento is redefining nearshore staffing with a tech-first mindset. She shares how adversity turned into opportunity, why supply chain pricing teams are ripe for transformation, and how blending AI with human expertise creates smarter operations, not job replacements. Key takeaways: Mia launched Talento just 72 hours after her former company shut down, retaining customers and building new processes on the fly. Talento provides talent management solutions and AI-powered tools for supply chain companies with a focus on operational simplicity. Nearshore teams can do far more than customer service, especially in pricing, sales, and data. Mia aims to act as a partner, not just a service provider, offering guidance even when clients aren't sure where to start. Building brand trust means creating a business that can thrive without being dependent on one person.LINKS:Mia's LinkedInTalento WebsiteWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.
Kui Jia, Sumo Logic's Vice President of Engineering and Head of AI, shares how their AWS-powered AI agents transform chaotic security investigations into streamlined workflows.Topics Include:Kui Jia leads AI Engineering at Sumo LogicSREs and SOC analysts work under chaotic, high-pressure conditionsTeams constantly switch between different vendor tools and platformsInvestigation requires quick hypothesis formation and complex query writingSumo Logic processes petabytes of data daily across enterprisesCompany serves 2,000+ enterprise customers for 15 yearsPlatform focuses on observability and cybersecurity use casesInvestigation journey: discover, diagnose, decide, act, learn phasesData flows from ingestion through analytics to human insightsTraditional workflow relies heavily on tribal domain knowledgeSenior engineers create queries that juniors struggle to understandWar room situations demand immediate answers, not learning curvesContext switching between tools wastes time and creates frictionMultiple AI generations deployed: ML anomaly detection to GenAIAgentic AI enables reasoning, planning, tools, and evaluation capabilitiesMo Copilot launched at AWS re:Invent as AI agent suiteNatural language converts high-level questions into Sumo queriesSystem provides intelligent autocomplete and multi-turn conversationsInsight agents summarize logs and security signals automaticallyKnowledge integration combines foundation models with proprietary metadataAI generates playbooks and remediation scripts for automated actionsThree-tier architecture: Infrastructure, AI Tooling, and Application layersBuilt on AWS Bedrock with Nova models for performanceFocus on reusable infrastructure and AI tooling componentsData differentiation more important than AI model selectionGolden datasets and contextualized metadata are development challengesGuardrails and evaluation frameworks critical for enterprise deploymentAI observability enables debugging and performance monitoringEnterprise agents achievable within one year development timelineFuture vision: multiple AI agents collaborating with human investigatorsParticipants:Kui Jia – Vice President of AI Engineering, Head of AI, Sumo LogicFurther Links:Website: https://www.sumologic.com/Sumo Logic in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Just when you thought it was safe to go back in the water, ML goes to Burt Lake while Erika […]
If you're still relying on check calls and spreadsheets to track freight, you're already behind. In this episode, Chain's EVP of Sales, Kevin Coomes, joins the show to break down how his team is building AI-powered tools that make life easier for freight brokers, from exception management to proactive customer communication. We also dig into the origin of Chain, how their Autopilot tool works inside your TMS, and why eliminating noise is the real key to broker productivity. Key takeaways: Most freight brokers still rely on outdated, reactive methods like manual check calls. Chain uses AI to centralize communication and automate exception management directly inside the TMS. Autopilot is designed to work in the background, taking care of low-value tasks so brokers can focus on what matters. Visibility doesn't just mean tracking freight—it means proactively alerting stakeholders before problems arise. The freight future is about cleaner data, less busywork, and platforms that help you grow.LINKS:Kevin's LinkedInChain's WebsiteWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.
Hiiii um who knew Doyoung had such a hot brother??? ….Maddie and Elle are here to chat about Second Shot at Love, a 12 episode KDrama that just finished airing. This show was soooooo up Elle's alley, and the girls loved seeing yet ANOTHER member of 5URPRISE grace their screens as the ML. (You're still our fav, Kang Tae-oh, don't worry.)….Second Shot at Love is a light-hearted KDrama that touches on some serious topics, mainly alcoholism. It has the fun townie-feel that many love about KDramas, and a heartwarming cast (and secondarily love story that Maddie was obsessed with!!)….The girls would totally recommend this one as a binge-worthy drama that you can dig into this summer!….Second Shot of Love is 12 episodes and can be found on Viki.If you're new to YA GIRL, we're so glad you're here!! I truly hope you enjoy listening to this podcast! …..Also, check out our sister-pod - THE KDROP: A KPop Podcast - if that's your thing. https://www.instagram.com/the.kdrop_kpop_pod/ ….. Before you do anything else, FOLLOW YA GIRL ON INSTAGRAM! For real, please come and say hey to us over the socials! @yagirl_kdrama pod (https://www.instagram.com/yagirl_kdramapod?igsh=OGQ5ZDc2ODk2ZA%3D%3D&utm_source=qr) … Finally, jump on YA GIRL's Discord!! It's where all the friends of YA GIRL gather and talk about hot Korean men. You really don't wanna miss it. https://discord.gg/rFmEgTJpJ8
In this episode of History 102, 'WhatIfAltHist' creator Rudyard Lynch and co-host Austin Padgett do a deep dive into the thousand-year Holy Roman Empire, exploring how this decentralized German confederation shaped European civilization, from Charlemagne's coronation through medieval peak to Napoleonic dissolution, revealing patterns that illuminate modern geopolitics. --
00:00-20:00: Yankees have become a puppet show. ML explains.
00:00-20:00: Can the Cubs play deep into October? ML breaks it down. Thanks to CH Insurance and Rosie's Corner.
On this episode of the TestGuild DevOps Toolchain, host Joe Colantonio is joined by Maurice McCabe, a seasoned AI engineer from AIA Systems whose expertise spans over two decades and the rise of agentic AI. Together, they dive deep into the rapidly evolving world of DevOps, AI-driven development, and modern product testing. Maurice shares his experiences from the early days of machine learning to today's generative AI revolution, uncovering how tools like Replit and smart browsers are transforming the way products are built, tested, and deployed. Whether you're a developer looking to keep your edge in a changing landscape, a DevOps pro curious about AI-infused workflows, or someone exploring automated voice and unstructured data solutions, this episode is packed with practical insight. The conversation covers the blurring lines between AI and ML, how subject matter experts can leverage new tools, the growing importance of testing in an AI-powered future, and what DevOps professionals need to know to stay ahead. Additionally, Maurice provides an insider's look at testing voice-enabled AI, monitoring KPIs for drift and hallucination, and the role of human expertise in the era of automation. Tune in to get inspired and equipped for the future of AI and DevOps with actionable advice and a look at where the industry might be headed next. ry out Insight Hub free for 14 days now: https://testguild.me/insighthub. No credit card required.
We're in Maulbronn Germany - at the pre-conference sessions!We catch up with Dr Cathy Morgan - we cover off AI, artificial intelligence, early intervention and early detection, developing AI models, best practice ML processes, dissecting and analysing video and Data! Data! Data!CP360 - a bold new initiative accelerating global action for the 50 million people living with cerebral palsy!Be sure to visit the m:con Mannheim YouTube channel for the special video-casts we created for the Pre-Conference - all set in the beautiful location of Maulbronn Monastery - a UNESCO world heritage site!The video-casts will be available on the mconmannheim YouTube channel over the course of the conference and mirrored to the ResearchWorks YouTube channel after the conference too!https://www.youtube.com/watch?v=ph0t7Q6lZas
The signing of the first ever Memorandum of Understanding between the world-renowned Dublin Institute for Advanced Studies (DIAS) and a Technological University was witnessed by James Lawless, Minister for Further and Higher Education, Research, Innovation and Science. The agreement with the Technological University of the Shannon (TUS) was signed during the celebrations of the Institute's 85th year anniversary, marking its lauded track record since it was set up by Eamon De Valera's Government at the time when its first Director of Theoretical Physics was Nobel-prize winner Erwin Schrödinger. The MOU, signed by Dr Eucharia Meehan, CEO of DIAS, and President of TUS, Professor Vincent Cunnane, will strengthen collaboration in research and innovation between the institutions, with a focus on advancing education and practical knowledge in Artificial Intelligence (AI), Machine Learning (ML) and Computer Vision (CV) and their application to Radio Astronomy. Under the terms of the agreement, two TUS PhD research students, funded by the university, will be appointed DIAS scholars, receiving mentorship from DIAS's world-renowned researchers at Dunsink Observatory and participating in cutting edge research, working on the prestigious I-LOFAR at Birr Castle in Offaly. I-LOFAR stands for Irish Low Frequency Array and it is Ireland's largest radio telescope. It is part of a Europe-wide collaborative astronomy project where Irish scientists and students participate in pan-European research in areas such as: Astrophysics, Cosmic magnetism, Space weather, Solar physics and Big Data and AI applications in astronomy. I-LOFAR generates massive volumes of complex data - often terabytes per day - and CV and ML play a crucial role in how that data is processed, analysed, and interpreted. DIAS and TUS will jointly collaborate on applying High Performance Computing including AI, ML and CV to the detection, classification and characterisation of targeted phenomena in the I-LOFAR data. Initially this will focus on Space Weather / Solar Phenomena but will be expanded to include others. The research outputs will be held in a new centralised Astrophysics storage and High Performance Computing facility at TUS which will benefit all researchers nationally. This new facility will train undergraduates in modelling large datasets. Together TUS and DIAS have also committed to regional educational and industrial workshops to create awareness of the expertise available from the collaboration. The first workshops will be held in conjunction with the LEO office in Offaly. Congratulating both Institutions, Minister James Lawless TD, Minister for Further and Higher Education, Research, Innovation, and Science said: "I warmly congratulate DIAS and TUS on the signing of this important Memorandum of Understanding. Strategic collaboration such as this strengthens our research base and positions Ireland globally at the forefront of technological progress". Dr. Eucharia Meehan, CEO, DIAS said: "We are proud to formalise this collaboration with TUS as we mark 85 years of discovery at DIAS. Since our earliest days, DIAS has been a centre of discovery where students are welcomed and supported in their research endeavours. With this MOU we are further strengthening the research ecosystem to support talent, to foster innovation, and to deliver real impact for our research community and our economy. Building on our track record of developing research infrastructure for the benefit of research in Ireland and further afield, the establishment of a new centralised Astrophysics storage and High Performance Computing facility in partnership with TUS will provide an important resource for current and future generations of researchers." President of TUS, Professor Vincent Cunnane, said: "TUS is proud to embark on this new frontier with DIAS which will enable our students to explore previously undiscovered areas of research in the disciplines of engineering, science and technology. ...
This episode is sponsored by Hummingbirds, learn more by booking a call with their team!Jennifer Liao is the President and Co-Founder of modern Chinese food brand MìLà. A dynamic leader who wears many hats, she's involved in everything from supplier relationships to brand storytelling. Born in 2018 as a brick-and-mortar shop in Bellevue, Washington, MìLà has evolved into a culinary force that brings restaurant-caliber Chinese delicacies into homes across America. The brand's thoughtfully-crafted soup dumplings, noodles, sauces, and desserts honor traditional techniques while embracing contemporary tastes and quality ingredients. IG eat.mila | eatmila.comFind Me:IG + TikTok citrusdiaries.studiocitrusdiaries.com | hello@citrusdiaries.comCreate your podcast today! #madeonzencastr
00:00-20:00: ML breaks down the Panthers winning another Cup.
Welcome to a new episode of the EUVC podcast, where we bring you the people and perspectives shaping European venture. This week, Andreas is joined by Christophe Jurczak, Managing Partner at Quantonation, the world's first dedicated quantum technologies VC fund.Together, they unpack the tangible, applied promise of quantum technologies—far beyond the hype—and discuss why Europe may still win in this deep tech arena if capital (and courage) show up at the right time.This week's themes:Real-world quantum use cases in health, energy, climate, and securityThe rise of quantum internet and the race to secure communicationsHow interdisciplinary talent makes or breaks applied quantum venturesWhy late-stage capital remains quantum Europe's biggest bottleneckHere's what's covered:01:30 Quantum Is Real: Health, energy, climate & security02:45 Quantum Drug Discovery: Pascal & Qubit Pharmaceuticals05:00 Simulation Power: Designing less toxic, more effective molecules06:45 Quantum Internet: Unhackable infrastructure deployments in NYC & Berlin08:30 Why Encryption Is Under Threat—And What Quantum Does About It10:00 No Cryo, No Labs: Room-temp quantum machines are here11:45 Talent Mix: Why computer scientists + physicists = startup advantage13:30 ML on Quantum Hardware: Graph ML and novel quantum algorithms15:00 Europe's Competitive Edge: IQM, Pascal, and more16:30 The Real Risk: Growth-stage capital and the transatlantic gap18:00 Quantonation's Vision: A future late-stage fund for European quantum19:00 Final Thoughts: Sci-fi vibes, real-world traction, and a rallying cry
Canva just announced $3 billion in ARR, 230 million monthly active users, and 24 million paying subscribers—including 95% of the Fortune 500. Even more impressive? They've been profitable for seven years while growing at 40–50% per year. In this episode, Canva's Head of Engineering, Brendan Humphreys, reveals how he went from employee #12 to leading 2,300 engineers across continents, and why Canva's “pragmatic excellence” lets them ship AI features at breakneck speed—like launching Canva Code to 100 million users in just three months.Brendan shares the story of Canva's AI journey: building an in-house ML team back in 2017, acquiring visual AI startups like Kaleido and Leonardo AI, and why they use a hybrid of OpenAI, Anthropic, Google, and their own foundation models. He explains how Canva's App Store gives niche AI startups instant access to millions, and why their $200M Creator Fund is designed to reward contributors in the AI era. You'll also hear how AI tools like Copilot are making Canva's senior engineers 30% more productive, why “vibe coding” isn't ready for prime time, and the unique challenges of onboarding junior engineers in an AI-driven world.We also dig into Canva's approach to technical debt, scaling from 12 to 5,000 employees, and why empathy is a core engineering skill at Canva. CanvaWebsite - https://www.canva.comX/Twitter - https://x.com/canvaBrendan HumphreysLinkedIn - https://www.linkedin.com/in/brendanhumphreysX/Twitter - https://x.com/brendanhFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:14) Canva's Mind-Blowing Growth and Profitable Journey (03:41) Why Brendan Left Atlassian to Join a Tiny Startup (06:17) What Being a Founder Taught Brendan About Leadership (07:24) Growing with Canva: From 12 Employees to 2,300 Engineers (10:02) How Canva Runs a Global Team from Sydney to Europe (13:16) Is AI a Threat or a Superpower for Canva? (15:22) The Real Story Behind Canva's AI and Machine Learning Team (17:23) How Canva Ships New AI Features So Fast (19:19) A Tour of Canva's Latest AI-Powered Products (21:03) From Design Tool to All-in-One Productivity Platform (26:21) Keeping Up the Pace: How Canva Moves So Quickly (30:22) The Future: AI Agents, Copilots, and Smarter Workflows (33:14) How AI Tools Are Changing the Way Engineers Work (35:47) Rethinking Hiring and Training in the Age of AI (37:01) Why Empathy Matters in Engineering at Canva (39:41) Building vs. Buying: How Canva Chooses Its AI Tech (41:23) Lessons Learned: Technical Debt and Scaling Pains (51:18) Shipping Fast Without Breaking Things (53:08) What's Next: AI Video, New Features, and Big Ambitions
ICYMI, I'll be in London next week, for a live episode of the Learning Bayesian Statistics podcast
Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools. We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir's distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows. Key topics discussed in this episode: The evolution of the Nx (Numerical Elixir) project and what's new with ML in Elixir Treating Elixir as an orchestration layer for external ML tools When to rely on off-the-shelf LLMs vs. custom models Strategies for integrating Elixir with Python-based ML libraries Leveraging Elixir's distributed computing strengths for ML tasks Starting ML projects with existing data considerations Synthetic data generation using large language models Exploring DSLs to streamline AI-powered business logic Balancing custom frameworks and service-based approaches in production Pragmatic advice for getting started with ML in Elixir Links mentioned: https://hexdocs.pm/nx/intro-to-nx.html https://pragprog.com/titles/smelixir/machine-learning-in-elixir/ https://magic.dev/ https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/ Pragmatic Bookshelf: https://pragprog.com/ ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex https://github.com/elixir-nx/bumblebee Silero Voice Activity Detector: https://github.com/snakers4/silero-vad Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1 Thomas Millar's Twitter https://x.com/thmsmlr https://github.com/thmsmlr/instructorex https://phoenix.new/ https://tidewave.ai/ https://en.wikipedia.org/wiki/BERT(language_model) Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python (https://www.youtube.com/watch?v=am895oU6mmY) by Soumith Chintala https://hexdocs.pm/axon/Axon.html https://hexdocs.pm/exla/EXLA.html VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms https://github.com/ggml-org/llama.cpp Vector Search in Elixir: https://github.com/elixir-nx/hnswlib https://www.amplified.ai/ Llama 4 https://mistral.ai/ Mistral Open-Source LLMs: https://mistral.ai/ https://github.com/openai/whisper Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five https://docs.ray.io/en/latest/ray-overview/index.html https://hexdocs.pm/flame/FLAME.html https://firecracker-microvm.github.io/ https://fly.io/ https://kubernetes.io/ WireGuard VPNs https://www.wireguard.com/ https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html https://www.manning.com/books/deep-learning-with-python Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity Ash Framework https://ash-hq.org/ Sean's Twitter: https://x.com/seanmoriarity Sean's Personal Blog: https://seanmoriarity.com/ Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef Elixir Forum https://elixirforum.com/ Sean's LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/ Special Guest: Sean Moriarity.
This week's episode dives deep into the post-WWDC hangover, exploring Apple's remarkable software improvements across platforms. The hosts examine the first third-party immersive video production using Blackmagic's new camera, celebrate major Vision Pro persona upgrades, and discuss Apple's complete re-architecture of iPad windowing. The conversation reveals how Apple's software teams seem to have hit their stride after years of criticism, delivering substantial improvements from terminal apps to AI integration. • Canal+ MotoGP Documentary for Vision Pro - First third-party Apple immersive video production shot entirely with new Blackmagic URSA camera, featuring French motorcycle racer Johann Zarco • Spatial Personas Get Major Upgrade - visionOS 26 delivers dramatically improved personas that actually look like real people, though beards still cause mouth-tracking issues • Geographic Persistence and Room Mapping - visionOS 26 features allow virtual objects to stay in place across reboots and sessions • Apple Home Hub Smart Display Discovery - Code found in iOS 26 dev beta reveals upcoming HomePod with screen, expected by the end of year • iPad Multitasking Revolution - Craig Federighi explains the complete re-architecture of iPadOS 26 windowing system, bringing full Mac-style window management to iPad • Background Task Processing - iPadOS 26 introduces finite background tasks for exports and file operations, finally allowing users to switch apps during long processes • Software Quality Renaissance - Discussion of Apple's apparent software turnaround, from improved backend infrastructure (40% improvement moving from Java to Swift/Rust) to new developer APIs • New Speech-to-Text APIs - Apple provides developers access to on-device transcription that's twice as fast as Whisper, though slightly less accurate • Third-Party App Integration Improvements - Apple now allows music apps to show animated artwork on lock screen and provides access to various ML models • Terminal and Spotlight Updates - macOS 26 features the first meaningful Terminal app update in years, plus pro features added to Spotlight, including clipboard history • F1 Movie Marketing Blitz - Deep dive into Apple's $200+ million investment in the F1 film, including custom iPhone cameras built for race cars and haptic trailer experiences Picks of the Week: • Leo's Pick: Classic Sega iOS games going free before delisting on the App Store, including Crazy Taxi, Sonic titles, and Super Monkey Ball • Jason's Pick: PlugShare app for electric vehicle owners to find compatible charging stations across all networks and plug types • Andy's Pick: Usagi Yojimbo comic collection Humble Bundle featuring Stan Sakai's acclaimed samurai rabbit series, with proceeds supporting the Hero Initiative • Alex's Pick: Perla iOS camera app designed to give iPhone footage an authentic 16mm film look and feel Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: storyblok.com/twittv-25
This week's episode dives deep into the post-WWDC hangover, exploring Apple's remarkable software improvements across platforms. The hosts examine the first third-party immersive video production using Blackmagic's new camera, celebrate major Vision Pro persona upgrades, and discuss Apple's complete re-architecture of iPad windowing. The conversation reveals how Apple's software teams seem to have hit their stride after years of criticism, delivering substantial improvements from terminal apps to AI integration. • Canal+ MotoGP Documentary for Vision Pro - First third-party Apple immersive video production shot entirely with new Blackmagic URSA camera, featuring French motorcycle racer Johann Zarco • Spatial Personas Get Major Upgrade - visionOS 26 delivers dramatically improved personas that actually look like real people, though beards still cause mouth-tracking issues • Geographic Persistence and Room Mapping - visionOS 26 features allow virtual objects to stay in place across reboots and sessions • Apple Home Hub Smart Display Discovery - Code found in iOS 26 dev beta reveals upcoming HomePod with screen, expected by the end of year • iPad Multitasking Revolution - Craig Federighi explains the complete re-architecture of iPadOS 26 windowing system, bringing full Mac-style window management to iPad • Background Task Processing - iPadOS 26 introduces finite background tasks for exports and file operations, finally allowing users to switch apps during long processes • Software Quality Renaissance - Discussion of Apple's apparent software turnaround, from improved backend infrastructure (40% improvement moving from Java to Swift/Rust) to new developer APIs • New Speech-to-Text APIs - Apple provides developers access to on-device transcription that's twice as fast as Whisper, though slightly less accurate • Third-Party App Integration Improvements - Apple now allows music apps to show animated artwork on lock screen and provides access to various ML models • Terminal and Spotlight Updates - macOS 26 features the first meaningful Terminal app update in years, plus pro features added to Spotlight, including clipboard history • F1 Movie Marketing Blitz - Deep dive into Apple's $200+ million investment in the F1 film, including custom iPhone cameras built for race cars and haptic trailer experiences Picks of the Week: • Leo's Pick: Classic Sega iOS games going free before delisting on the App Store, including Crazy Taxi, Sonic titles, and Super Monkey Ball • Jason's Pick: PlugShare app for electric vehicle owners to find compatible charging stations across all networks and plug types • Andy's Pick: Usagi Yojimbo comic collection Humble Bundle featuring Stan Sakai's acclaimed samurai rabbit series, with proceeds supporting the Hero Initiative • Alex's Pick: Perla iOS camera app designed to give iPhone footage an authentic 16mm film look and feel Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: storyblok.com/twittv-25
This week's episode dives deep into the post-WWDC hangover, exploring Apple's remarkable software improvements across platforms. The hosts examine the first third-party immersive video production using Blackmagic's new camera, celebrate major Vision Pro persona upgrades, and discuss Apple's complete re-architecture of iPad windowing. The conversation reveals how Apple's software teams seem to have hit their stride after years of criticism, delivering substantial improvements from terminal apps to AI integration. • Canal+ MotoGP Documentary for Vision Pro - First third-party Apple immersive video production shot entirely with new Blackmagic URSA camera, featuring French motorcycle racer Johann Zarco • Spatial Personas Get Major Upgrade - visionOS 26 delivers dramatically improved personas that actually look like real people, though beards still cause mouth-tracking issues • Geographic Persistence and Room Mapping - visionOS 26 features allow virtual objects to stay in place across reboots and sessions • Apple Home Hub Smart Display Discovery - Code found in iOS 26 dev beta reveals upcoming HomePod with screen, expected by the end of year • iPad Multitasking Revolution - Craig Federighi explains the complete re-architecture of iPadOS 26 windowing system, bringing full Mac-style window management to iPad • Background Task Processing - iPadOS 26 introduces finite background tasks for exports and file operations, finally allowing users to switch apps during long processes • Software Quality Renaissance - Discussion of Apple's apparent software turnaround, from improved backend infrastructure (40% improvement moving from Java to Swift/Rust) to new developer APIs • New Speech-to-Text APIs - Apple provides developers access to on-device transcription that's twice as fast as Whisper, though slightly less accurate • Third-Party App Integration Improvements - Apple now allows music apps to show animated artwork on lock screen and provides access to various ML models • Terminal and Spotlight Updates - macOS 26 features the first meaningful Terminal app update in years, plus pro features added to Spotlight, including clipboard history • F1 Movie Marketing Blitz - Deep dive into Apple's $200+ million investment in the F1 film, including custom iPhone cameras built for race cars and haptic trailer experiences Picks of the Week: • Leo's Pick: Classic Sega iOS games going free before delisting on the App Store, including Crazy Taxi, Sonic titles, and Super Monkey Ball • Jason's Pick: PlugShare app for electric vehicle owners to find compatible charging stations across all networks and plug types • Andy's Pick: Usagi Yojimbo comic collection Humble Bundle featuring Stan Sakai's acclaimed samurai rabbit series, with proceeds supporting the Hero Initiative • Alex's Pick: Perla iOS camera app designed to give iPhone footage an authentic 16mm film look and feel Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: storyblok.com/twittv-25
This week's episode dives deep into the post-WWDC hangover, exploring Apple's remarkable software improvements across platforms. The hosts examine the first third-party immersive video production using Blackmagic's new camera, celebrate major Vision Pro persona upgrades, and discuss Apple's complete re-architecture of iPad windowing. The conversation reveals how Apple's software teams seem to have hit their stride after years of criticism, delivering substantial improvements from terminal apps to AI integration. • Canal+ MotoGP Documentary for Vision Pro - First third-party Apple immersive video production shot entirely with new Blackmagic URSA camera, featuring French motorcycle racer Johann Zarco • Spatial Personas Get Major Upgrade - visionOS 26 delivers dramatically improved personas that actually look like real people, though beards still cause mouth-tracking issues • Geographic Persistence and Room Mapping - visionOS 26 features allow virtual objects to stay in place across reboots and sessions • Apple Home Hub Smart Display Discovery - Code found in iOS 26 dev beta reveals upcoming HomePod with screen, expected by the end of year • iPad Multitasking Revolution - Craig Federighi explains the complete re-architecture of iPadOS 26 windowing system, bringing full Mac-style window management to iPad • Background Task Processing - iPadOS 26 introduces finite background tasks for exports and file operations, finally allowing users to switch apps during long processes • Software Quality Renaissance - Discussion of Apple's apparent software turnaround, from improved backend infrastructure (40% improvement moving from Java to Swift/Rust) to new developer APIs • New Speech-to-Text APIs - Apple provides developers access to on-device transcription that's twice as fast as Whisper, though slightly less accurate • Third-Party App Integration Improvements - Apple now allows music apps to show animated artwork on lock screen and provides access to various ML models • Terminal and Spotlight Updates - macOS 26 features the first meaningful Terminal app update in years, plus pro features added to Spotlight, including clipboard history • F1 Movie Marketing Blitz - Deep dive into Apple's $200+ million investment in the F1 film, including custom iPhone cameras built for race cars and haptic trailer experiences Picks of the Week: • Leo's Pick: Classic Sega iOS games going free before delisting on the App Store, including Crazy Taxi, Sonic titles, and Super Monkey Ball • Jason's Pick: PlugShare app for electric vehicle owners to find compatible charging stations across all networks and plug types • Andy's Pick: Usagi Yojimbo comic collection Humble Bundle featuring Stan Sakai's acclaimed samurai rabbit series, with proceeds supporting the Hero Initiative • Alex's Pick: Perla iOS camera app designed to give iPhone footage an authentic 16mm film look and feel Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: storyblok.com/twittv-25
This week's episode dives deep into the post-WWDC hangover, exploring Apple's remarkable software improvements across platforms. The hosts examine the first third-party immersive video production using Blackmagic's new camera, celebrate major Vision Pro persona upgrades, and discuss Apple's complete re-architecture of iPad windowing. The conversation reveals how Apple's software teams seem to have hit their stride after years of criticism, delivering substantial improvements from terminal apps to AI integration. • Canal+ MotoGP Documentary for Vision Pro - First third-party Apple immersive video production shot entirely with new Blackmagic URSA camera, featuring French motorcycle racer Johann Zarco • Spatial Personas Get Major Upgrade - visionOS 26 delivers dramatically improved personas that actually look like real people, though beards still cause mouth-tracking issues • Geographic Persistence and Room Mapping - visionOS 26 features allow virtual objects to stay in place across reboots and sessions • Apple Home Hub Smart Display Discovery - Code found in iOS 26 dev beta reveals upcoming HomePod with screen, expected by the end of year • iPad Multitasking Revolution - Craig Federighi explains the complete re-architecture of iPadOS 26 windowing system, bringing full Mac-style window management to iPad • Background Task Processing - iPadOS 26 introduces finite background tasks for exports and file operations, finally allowing users to switch apps during long processes • Software Quality Renaissance - Discussion of Apple's apparent software turnaround, from improved backend infrastructure (40% improvement moving from Java to Swift/Rust) to new developer APIs • New Speech-to-Text APIs - Apple provides developers access to on-device transcription that's twice as fast as Whisper, though slightly less accurate • Third-Party App Integration Improvements - Apple now allows music apps to show animated artwork on lock screen and provides access to various ML models • Terminal and Spotlight Updates - macOS 26 features the first meaningful Terminal app update in years, plus pro features added to Spotlight, including clipboard history • F1 Movie Marketing Blitz - Deep dive into Apple's $200+ million investment in the F1 film, including custom iPhone cameras built for race cars and haptic trailer experiences Picks of the Week: • Leo's Pick: Classic Sega iOS games going free before delisting on the App Store, including Crazy Taxi, Sonic titles, and Super Monkey Ball • Jason's Pick: PlugShare app for electric vehicle owners to find compatible charging stations across all networks and plug types • Andy's Pick: Usagi Yojimbo comic collection Humble Bundle featuring Stan Sakai's acclaimed samurai rabbit series, with proceeds supporting the Hero Initiative • Alex's Pick: Perla iOS camera app designed to give iPhone footage an authentic 16mm film look and feel Hosts: Leo Laporte, Alex Lindsay, Andy Ihnatko, and Jason Snell Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsor: storyblok.com/twittv-25
Erika Erickson finds an amped up ML in the basement with Marc, while Shawn waits til the coast is clear […]
Join Nataraj as he sits down with Vijaye Raji, founder and CEO of Statsig, a platform revolutionizing product development with data-driven decision-making. Formerly a VP at Facebook and head of Facebook Seattle, Vijaye shares his journey from big tech to startup founder.About the Episode:This conversation explores Vijaye's transition from leading entertainment at Facebook to building Statsig, a developer platform empowering data-driven decisions. He dives into his experience at Microsoft and Facebook, highlighting the challenges and motivations that led him to entrepreneurship. Vijaye discusses Statsig's value proposition, differentiating it from existing point solutions by consolidating feature flagging, analytics, and experimentation into one platform. The discussion extends to the future of experimentation in an AI-first world. He emphasizes the importance of product intuition alongside experimentation and shares Statsig's approach to culture, talent acquisition, and growth.About the Guest and Host:Vijaye Raji: Founder and CEO of Statsig, former VP at Facebook, and head of Facebook Seattle. Connect with Vijay:→ LinkedIn: https://www.linkedin.com/in/vijaye/→ Website: https://www.statsig.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam→ Twitter: https://x.com/natarajsindam→ Email updates: https://startupproject.substack.com/→ Website: https://thestartupproject.ioTimestamps:00:01 - Introduction and Guest Introduction00:48 - Vijay's Background and Transition from Big Tech01:11 - Leaving Facebook and the Motivation for Startups02:05 - Early Career at Microsoft and Facebook's Startup Phase04:21 - Diverse Roles and Experiences at Facebook05:38 - Problems and Scale as Head of Entertainment at Facebook07:41 - Business Side of Entertainment: Licensing and Content Acquisition08:30 - From Facebook to Statsig: Idea Evaluation10:27 - Getting the First Customers: Avoiding Common Mistakes13:19 - Blind Spots in Transitioning from Big Tech to Startups14:38 - Go-to-Market Intuition and Building Conviction17:03 - Statsig's Value Proposition and Differentiation19:28 - Explanation of Feature Flagging20:47 - Trends in Experimentation and Product Validation23:00 - Ideal Customer Profile for Statsig24:38 - Experimentation vs. Gut Feeling: Balancing Data and Intuition28:20 - Statsig's Growth: Customers, Users, and Scale29:44 - Positioning Statsig: Developer Tool vs. Product Development Platform31:08 - Marketing Efforts and ROI32:24 - Culture: In-Person Work Environment34:41 - Attracting Talent: Statsig's Approach40:04 - Fundraising: Strategy and Benefits41:35 - AI: Integration with LLMs and Product Extensions44:26 - ML vs. LLMs: Democratization of Access46:44 - Favorite Failure and Learning from Mistakes49:31 - Current Consumption (Books, Podcasts, etc.)50:11 - Lessons Learned as a Founder51:16 - Big Company Perks Missed and Not MissedSubscribe to Startup Project for more engaging conversations with leading entrepreneurs!→ Email updates: https://startupproject.substack.com/#StartupProject #Statsig #ProductDevelopment #Experimentation #FeatureFlagging #ProductAnalytics #DataDriven #AI #ArtificialIntelligence #SaaS #Entrepreneurship #Podcast #YouTube #Tech #Innovation
On this episode of the Scouting For Growth podcast, Sabine VdL talks to James Birch, Director of Strategic Technology Solutions at Ki Insurance—the first fully algorithmic syndicate in the history of Lloyd’s of London. In today’s conversation, we’ll explore: James’s journey from VC to algorithmic-underwriting pioneer, what a “director of strategic technology solutions” actually does day-to-day inside a digital syndicate, the partnerships, cloud architecture and data streams that let Ki quote in seconds, the biggest trends shaping Algorithmic Underwriting 2.0—and what they mean for brokers, capacity partners and the wider market, and practical take-aways for anyone who wants to thrive as the next wave of automation rolls through speciality insurance KEY TAKEAWAYS Ki is a growth stage business, not an incumbent, we’re trying to fight our way to win business and ultimately to grow. We have to do something different from everyone else to try to position ourselves differently and find competitive advantage where we can. That’s something I’ve carried over from the VC space. We started out looking at what the digital model of the traditional model, where was the toil in the value chain and the broker’s work plan process and how can we simplifying it and make it more efficient using digital capabilities that we saw in the VC space, in FinTech and other financial service industries. Lloyds of London is a heavily regulated market so we need to abide by any of the regulations that any carrier or underwriter do in that market. Our approach from day 1 was to engage with the regulator early, explain what we’re trying to do, be transparent, open and honest about where the gaps are if we’d not got to a certain level of maturity, don’t overstate the algorithm. We take regulation very seriously, which has helped because Lloyds has been highly supportive of us and our growth and have allowed us to grow as the market has grown. The main cost-save of the algorithmic underwriting for brokers is they don’t have to have loads of brokers running around the Lloyds of London building to find 2% on a slip or something, the broker negotiates with the lead underwriter, come onto the Ki platform for the follow, and then spend their time on new business and client opportunities. BEST MOMENTS ‘Any business should evolve as the market evolves and the marketing dynamics changes, you’ve got to react to those and be thinking 2-5 years ahead.’ ‘We still trip up on ourselves, even now, because we sometimes try to over-complicate things.’ ‘Speak to the customer, hear their problems, understand what’s not working for them, try to make it a simple transaction for them, and then they’ll use your products.’ ‘I’m a big advocate of the partner model because if you get 2, 3, or 4 like-minded companies as partners you can build something great together because you’re all strategically aligned.’ ABOUT THE GUEST James Birch is the Director of Strategic Technology Solutions at Ki Insurance, the market-leading algorithmic syndicate that’s redefining how Lloyd’s of London does business. Blending a venture-capital mindset with hands-on operating rigor, James has spent the past decade helping innovative companies move from bright idea to breakout scale. Passionate about demystifying insurance for the next generation, James is a sought-after speaker on topics such as data-driven risk selection, the future of algorithmic capacity and what it really takes to scale a regulated tech business. Whether mentoring founders or road-testing the latest ML models with his engineers, he’s driven by one simple goal: use technology to make risk transfer faster, fairer and radically more efficient. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/
Talk Python To Me - Python conversations for passionate developers
If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Bryce Adelstein Lelbach on Twitter: @blelbach Episode Deep Dive write up: talkpython.fm/blog NVIDIA CUDA Python API: github.com Numba (JIT Compiler for Python): numba.pydata.org Applied Data Science Podcast: adspthepodcast.com NVIDIA Accelerated Computing Hub: github.com NVIDIA CUDA Python Math API Documentation: docs.nvidia.com CUDA Cooperative Groups (CCCL): nvidia.github.io Numba CUDA User Guide: nvidia.github.io CUDA Python Core API: nvidia.github.io Numba (JIT Compiler for Python): numba.pydata.org NVIDIA's First Desktop AI PC ($3,000): arstechnica.com Google Colab: colab.research.google.com Compiler Explorer (“Godbolt”): godbolt.org CuPy: github.com RAPIDS User Guide: docs.rapids.ai Watch this episode on YouTube: youtube.com Episode #509 deep-dive: talkpython.fm/509 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy
00:00-15:00: 93Q's Rick Roberts joins the show to chat career, how it all began, his love for radio, old work times with ML, what's next for the industry, behind the curtain as program director and more.
Story at-a-glance A large health screening revealed 45% of women have low hemoglobin and 75% are deficient in vitamin D; these low levels affect energy, hormones and overall health Nutrient deficiencies manifest differently across age groups, with younger women experiencing immune and hormonal issues while older women face increased risks of bone loss and cardiovascular problems Smart strategies to increase hemoglobin include consuming iron-rich foods with vitamin C, avoiding coffee/tea near meals and addressing absorption issues like gluten sensitivity While low iron is a concern in menstruating women, iron overload is dangerous and common, especially in men and post-menopausal women; high iron levels increase cancer risk and damage mitochondria Regular testing of ferritin, the protein that stores iron in your body (ideal range 35 to 45 ng/mL), and vitamin D levels (aim for 60 to 80 ng/mL) is necessary for targeted supplementation and lifestyle adjustments
In episode 214, host Galit Friedlander and guest Kwasi Ohene-Adu (dancer, technologist, and founder/CEO of Groovetime) get into a conversation that's part dance history, part tech-forward vision, and fully rooted in the reality of what dancers are navigating today. From street performing and coding his own programs in college to building a platform that connects dance trends, AI, and digital ownership, Kwasi shares what he's learned and where he believes the industry is headed. This episode covers everything from soft power and viral culture to how dancers can create new revenue paths without waiting on the old system to catch up. Expect stories, sharp insights, and future-focused ideas—plus a few unexpected laughs along the way. Follow Galit: Instagram - https://www.instagram.com/gogalit Website - https://www.gogalit.com/ On-Demand Workout Programs -https://galit-s-school-0397.thinkific.com/collections Learn more about investing in Groovetime by visiting https://www.startengine.com/offering/groovetime. Check out Groovetime on Instagram and TikTok. Listen to DanceSpeak on Apple Podcasts and Spotify.
00:00-15:00: CC Sabathia heads to Cooperstown. ML remembers his great career.
In the final episode of our Czechoslovak Socialism series, we dive into the final attempt to reform the Czechoslovak system. As with the Prague Spring, the official ML/liberal narrative about are the same, that this was an attempt to overthrow socialism and establish a capitalist democracy. Just like the Prague Spring, it seems clear that the intentions of its participants were the opposite. The vast majority of Czechoslovaks who participated in the movements that brought down the republic were attempting to reform the socialist system, not destroy it.Krapfl, James. Revolution with a Human Face Politics, Culture, and Community in Czechoslovakia, 1989–1992. Cornell University Press, 2017.Scott Brown. “Prelude to a Divorce? The Prague Spring as Dress Rehearsal for Czechoslovakia's ‘Velvet Divorce.'” Europe-Asia Studies 60, no. 10 (2008): 1783–1804.Send us a message (sorry we can't respond on here). Support the show
Agiliway is transforming how startups and growth-stage companies scale their software engineering capacity. In this episode, we talk with Mark Koelsch, North American President of Agiliway, to unpack how offshore development teams can solve the exact problems many startups and CTOs face when trying to grow efficiently and affordably.If you're searching for software development outsourcing that doesn't compromise on quality, this conversation explains how offshore engineering teams—especially Ukraine developers—are helping startups scale fast, stay resilient, and access elite talent without the burden of building in-house.Mark Koelsch brings real-world solutions to the forefront: how to navigate business continuity in challenging environments like Ukraine, why non-technical founders rely on Agiliway to build from concept to MVP, and how teams are leveraging AI in software development to automate repetitive coding tasks while solving complex problems.Whether you're a startup founder, tech lead, or operations executive, this episode shows how Agiliway provides the tools, teams, and insight to help you scale smarter—not just faster. You'll walk away with clear strategies on custom software, talent sourcing, and sustainable growth with offshore teams.0:00 – Intro to Mark Koelsch & Agiliway0:42 – What Agiliway really does (clarifying software services)1:30 – Mark's journey from ML architect to Agiliway co-founder2:45 – How Agiliway helps startups and small businesses scale3:27 – Operating during the Ukraine conflict & business continuity5:00 – Supporting clients with AI in software development6:00 – What AI can and can't do in real-world development6:54 – Agiliway's success stories with custom software builds7:40 – How to get in touch with Mark and the Agiliway teamTo check out the YouTube (video podcast), visit: https://www.youtube.com/@drchrisloomdphdDisclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show. Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphdWe couldn't do it without the support of our listeners. To help support the show:CashApp- https://cash.app/$drchrisloomdphdVenmo- https://account.venmo.com/u/Chris-Loo-4Spotify- https://podcasters.spotify.com/pod/show/christopher-loo/supportBuy Me a Coffee- https://www.buymeacoffee.com/chrisJxClick here to schedule a 1-on-1 private coaching call: https://www.drchrisloomdphd.com/book-onlineClick here to check out our bookstore, e-courses, and workshops: https://www.drchrisloomdphd.com/shopClick here to purchase my books on Amazon: https://amzn.to/2PaQn4pFor audiobooks, visit: https://www.audible.com/author/Christopher-H-Loo-MD-PhD/B07WFKBG1FFollow our YouTube channel: https://www.youtube.com/chL1357Follow us on Twitter: https://www.twitter.com/drchrisloomdphdFollow us on Instagram: https://www.instagram.com/thereal_drchrislooFollow us on Threads: https://www.threads.net/@thereal_drchrislooFollow us on TikTok: https://www.tiktok.com/@drchrisloomddphdFollow our Blog: https://www.drchrisloomdphd.com/blogFollow the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18Subscribe to our Substack newsletter: https://substack.com/@drchrisloomdphd1Subscribe to our Medium newsletter: https://medium.com/@drchrisloomdphdSubscribe to our LinkedIn newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6992935013231071233Subscribe to our email list: https://financial-freedom-podcast-with-dr-loo.kit.com/Thank you to all of our sponsors and advertisers that help support the show!Financial Freedom for Physicians, Copyright 2025
Story at-a-glance Low testosterone levels below 3.33 ng/mL increase kidney stone risk by 65%, regardless of other health factors like age, weight, or blood pressure Men aged 34 to 44 years old with low testosterone face a 29% higher risk of developing their first kidney stone compared to those with normal levels Maintaining testosterone above 360 ng/dL significantly reduces kidney stone risk, with protective benefits most pronounced in men over 40 years old Testosterone influences kidney stone formation possibly by affecting glycolate oxidase production, which catalyzes metabolites involved in stone development Natural ways to boost testosterone include reducing exposure to endocrine-disrupting chemicals, KAATSU training, optimizing diet, sunlight exposure, and balancing hormones with progesterone
Pickpockets identify ML as a mark when he lands in Lyon, France and take his credit cards, but he nevertheless […]
Auto encoders are neural networks that compress data into a smaller "code," enabling dimensionality reduction, data cleaning, and lossy compression by reconstructing original inputs from this code. Advanced auto encoder types, such as denoising, sparse, and variational auto encoders, extend these concepts for applications in generative modeling, interpretability, and synthetic data generation. Links Notes and resources at ocdevel.com/mlg/36 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. Thanks to T.J. Wilder from intrep.io for recording this episode! Fundamentals of Autoencoders Autoencoders are neural networks designed to reconstruct their input data by passing data through a compressed intermediate representation called a “code.” The architecture typically follows an hourglass shape: a wide input and output separated by a narrower bottleneck layer that enforces information compression. The encoder compresses input data into the code, while the decoder reconstructs the original input from this code. Comparison with Supervised Learning Unlike traditional supervised learning, where the output differs from the input (e.g., image classification), autoencoders use the same vector for both input and output. Use Cases: Dimensionality Reduction and Representation Autoencoders perform dimensionality reduction by learning compressed forms of high-dimensional data, making it easier to visualize and process data with many features. The compressed code can be used for clustering, visualization in 2D or 3D graphs, and input into subsequent machine learning models, saving computational resources and improving scalability. Feature Learning and Embeddings Autoencoders enable feature learning by extracting abstract representations from the input data, similar in concept to learned embeddings in large language models (LLMs). While effective for many data types, autoencoder-based encodings are less suited for variable-length text compared to LLM embeddings. Data Search, Clustering, and Compression By reducing dimensionality, autoencoders facilitate vector searches, efficient clustering, and similarity retrieval. The compressed codes enable lossy compression analogous to audio codecs like MP3, with the difference that autoencoders lack domain-specific optimizations for preserving perceptually important data. Reconstruction Fidelity and Loss Types Loss functions in autoencoders are defined to compare reconstructed outputs to original inputs, often using different loss types depending on input variable types (e.g., Boolean vs. continuous). Compression via autoencoders is typically lossy, meaning some information from the input is lost during reconstruction, and the areas of information lost may not be easily controlled. Outlier Detection and Noise Reduction Since reconstruction errors tend to move data toward the mean, autoencoders can be used to reduce noise and identify data outliers. Large reconstruction errors can signal atypical or outlier samples in the dataset. Denoising Autoencoders Denoising autoencoders are trained to reconstruct clean data from noisy inputs, making them valuable for applications in image and audio de-noising as well as signal smoothing. Iterative denoising as a principle forms the basis for diffusion models, where repeated application of a denoising autoencoder can gradually turn random noise into structured output. Data Imputation Autoencoders can aid in data imputation by filling in missing values: training on complete records and reconstructing missing entries for incomplete records using learned code representations. This approach leverages the model's propensity to output ‘plausible' values learned from overall data structure. Cryptographic Analogy The separation of encoding and decoding can draw parallels to encryption and decryption, though autoencoders are not intended or suitable for secure communication due to their inherent lossiness. Advanced Architectures: Sparse and Overcomplete Autoencoders Sparse autoencoders use constraints to encourage code representations with only a few active values, increasing interpretability and explainability. Overcomplete autoencoders have a code size larger than the input, often in applications that require extraction of distinct, interpretable features from complex model states. Interpretability and Research Example Research such as Anthropic's “Towards Monosemanticity” applies sparse autoencoders to the internal activations of language models to identify interpretable features correlated with concrete linguistic or semantic concepts. These models can be used to monitor and potentially control model behaviors (e.g., detecting specific language usage or enforcing safety constraints) by manipulating feature activations. Variational Autoencoders (VAEs) VAEs extend autoencoder architecture by encoding inputs as distributions (means and standard deviations) instead of point values, enforcing a continuous, normalized code space. Decoding from sampled points within this space enables synthetic data generation, as any point near the center of the code space corresponds to plausible data according to the model. VAEs for Synthetic Data and Rare Event Amplification VAEs are powerful in domains with sparse data or rare events (e.g., healthcare), allowing generation of synthetic samples representing underrepresented cases. They can increase model performance by augmenting datasets without requiring changes to existing model pipelines. Conditional Generative Techniques Conditional autoencoders extend VAEs by allowing controlled generation based on specified conditions (e.g., generating a house with a pool), through additional decoder inputs and conditional loss terms. Practical Considerations and Limitations Training autoencoders and their variants requires computational resources, and their stochastic training can produce differing code representations across runs. Lossy reconstruction, lack of domain-specific optimizations, and limited code interpretability restrict some use cases, particularly where exact data preservation or meaningful decompositions are required.
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