Podcasts about Signal processing

head ai science professor institute skills practical panel chemistry conservation electrical mechanical engineering electronic engineering materials engineering signal processing molecular science

Play Episode Listen Later May 9, 2025 63:45

How does a personal passion project turn into a groundbreaking neurotech startup? In this episode, we sit down with Dr. Ildar Rakhmatulin to explore his remarkable journey from academia to entrepreneurship — and how a global chip shortage sparked the creation of Pi-EEG, a Raspberry Pi-based BCI device that's transforming neuroscience education. Discover how Ildar's open-source innovation makes brain-computer interfaces more accessible, engaging both the research community and curious learners. We dive into the evolution of his work, from the RMBCI project to the Pi-EEG platform, and explore its exciting integration with tools like ChatGPT and P300 gaming applications. In this episode, you'll learn about: The evolution from RMBCI to the Pi-EEG device The power of open-source collaboration in neurotech How Pi-EEG connects with ChatGPT and brain-signal-based gaming The educational impact on neuroscience and signal processing Join us for an inspiring conversation on turning persistence and creativity into cutting-edge innovation in the world of brain-computer interfaces. Chapters: 00:00:02 - Launching Personal Projects in Neurotech 00:05:12 - Development of the Pyg Device 00:09:31 - Benefits of Open Source Collaboration 00:13:55 - Challenges in EEG Device Development 00:17:16 - Motivation Behind Passion Projects 00:20:00 - Introducing the Latest PiEG Device 00:25:49 - Measuring Multiple Biological Signals 00:29:02 - Introduction to EEG Signal Processing 00:31:06 - Understanding EEG and Signal Processing 00:38:52 - Finding Passion in Neurotechnology Careers 00:43:50 - Balancing Work and Passion Projects 00:47:49 - Real-World Problems and Neurotechnology Trends 00:50:43 - Careers in Neurotechnology 00:59:38 - Advancing Your Neurocareer About the Podcast Guest: Dr. Ildar Rakhmatulin is a scientist, engineer, and entrepreneur based in the United Kingdom, working at the intersection of neuroscience, biosignal processing, and brain-computer interface (BCI) innovation. He is the founder of PiEEG, an open-source, low-cost BCI platform built on Raspberry Pi, designed to democratize access to neurotechnology for students, researchers, and developers around the world. With a Ph.D. in hardware and software engineering, Dr. Rakhmatulin specializes in real-time biodata acquisition, including EEG, PPG, and EKG, and applies machine learning and deep learning algorithms to brain signal classification. His engineering work bridges research and accessibility—helping transform neuroscience education and experimentation through affordable, modular tools.

Episode 32. SERCH Part 1. Do Practical Skills Matter in the Age of AI?

Never Lick the Spoon

Play Episode Listen Later Feb 28, 2025 42:36

At the Science and Engineering Research for Cultural Heritage Conference 2025, a panel discussed "Balancing Innovation and Craft: Do Practical Skills Still Matter in the age of AI?" Panel members include; Professor Ambrose Taylor (Chair), Professor of Materials Engineering in the Department of Mechanical Engineering at Imperial College London Professor Pier Luigi Dragotti, Professor of Signal Processing in the Department of Electrical and Electronic Engineering at Imperial College London Lorraine Cornish, Head of Conservation at Natural History Museum Kat Harris, Senior Teaching Technician in the Department of Chemistry at Imperial College London Hosted by the Institute for Molecular Science and Engineering (IMSE) This is the first episode in our SERCH series, produced by Imperial Futures.

Remote Industrial Operations – Beyond Distance

The Process Automation Podcast

Play Episode Listen Later Nov 6, 2024 27:39

Many industrial facilities like mines, wind farms or marine vessels are often located in remote areas. Operating far from other infrastructure has its challenges, such as dealing with harsh weather conditions and ensuring that a qualified workforce is available at the right spot and time. Remote, however, doesn't always mean far away: crane operators at container terminals can work from a control room rather than high up in a crane, and in mines, blasting can be managed from a safe distance. How can automation and digital technologies help address challenges in industrial sites that are hard to reach? And how can technology enhance safety and even open up opportunities for a more diverse workforce? To find answers, The Process Automation Podcast host Fran Scott is joined by: Mårten Sjöström, Professor of Signal Processing at Mid Sweden University Sanjit Shewale, Global Head of Digital at ABB Process Industries Johannes Sikström, Section Manager Process Control and Analysis at Boliden Follow The Process Automation Podcast wherever you get your podcasts so you never miss an episode.See omnystudio.com/listener for privacy information.

professor digital operations remote distance industrial analysis operating global head sj signal processing fran scott

The cannabinoids within: how marijuana hijacks an ancient signaling system in the brain | Ivan Soltesz

From Our Neurons to Yours

Play Episode Listen Later Oct 10, 2024 37:33 Transcription Available

Given the widespread legalization of cannabis for medical and recreational uses, you'd think we'd have a better understanding of how it works. But ask a neuroscientist exactly how cannabinoid compounds like THC and CBD alter our perceptions or lead to potential medical benefits, and you'll soon learn just how little we know.We know that these molecules hijack an ancient signaling system in the brain called the "endocannabinoid" system (translation: the "cannabinoids within"). These somewhat exotic signaling molecules (made of fatty lipids and traveling "backwards" compared to other transmitters) have been deeply mysterious until recently, when new tools made it possible to visualize their activity directly in the brain.So what is the "day job" of the endocannabinoid system — and how does it connect to the dramatic highs that come with taking THC or the medical benefits of CBD? To unpack all this, we're talking this week with neuroscientist Ivan Soltesz, the James Doty Professor of Neurosurgery and Neuroscience at Stanford, and a leading expert on the endocannabinoid system.Learn MoreThe Soltesz Lab"Weeding out bad waves: towards selective cannabinoid circuit control in epilepsy" (Soltesz et al, Nature Reviews Neuroscience, 2015) "Keep off the grass? Cannabis, cognition and addiction" (Parsons et al, Nature Reviews Neuroscience, 2016)"Marijuana-like brain substance calms seizures but increases aftereffects, study finds" (Goldman, Stanford Medicine News, 2021)"Retrograde endocannabinoid signaling at inhibitory synapses in vivo" (Dudok et al, Science, 2024)Vote for us!We are a finalist for a prestigious Signal Award for Best Science Podcast of 2024! Share your love for the show by voting for us in the Listener's Choice category by October 17. Thanks in advance!Get in touch:We're doing some listener research and we want to hear from your neurons! Email us at at neuronspodcast@stanford.edu if you'd be willing to help out, and we'll be in touch with some follow-up questions.Episode CreditsThis episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute. Send us a text!Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience. Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Early ALS Detection: Real-Time Neurotech Solution with Ahmadreza Keihani, PhD

Play Episode Listen Later Jul 22, 2024 100:15

Diagnosing Amyotrophic Lateral Sclerosis (ALS) at an early stage is a daunting challenge that often seems almost impossible. However, the pressing need for early diagnostic tools has driven remarkable individuals to seek innovative solutions. One such individual is Dr. Ahmadreza Keihani, whose personal story and profound loss led him on a mission to find early diagnostic possibilities for ALS using cutting-edge neurotechnologies. Dr. Keihani, a Postdoctoral Associate at the University of Pittsburgh, brings a wealth of experience and dedication to his work. After graduating as the valedictorian from the medical school at Tehran University of Medical Sciences (TUMS), he was invited to be an assistant professor of neuroimaging. However, driven by a relentless desire to learn and innovate, he moved to the United States to further his research under the mentorship of senior scientists in the field. In this episode, we delve into Dr. Keihani's groundbreaking project, which he developed alongside his colleagues at the University of Pittsburgh and TUMS. Their real-time monitoring system for the cortico-muscular coupling index (CMC) promises to be an early biomarker for ALS, offering hope for earlier diagnosis and intervention. This project was nominated for the prestigious BCI Award 2023, recognizing its potential to revolutionize ALS diagnostics. Dr. Keihani discusses his innovative research and also shares his personal career journey, providing invaluable career advice for aspiring scientists. Additionally, he offers useful information about the International BCI Award application process, giving listeners a behind-the-scenes look at what it takes to submit a successful project. Moreover, Dr. Keihani is an amazing educator, and listeners will truly enjoy his easy-to-understand explanations of complex concepts in neurotech research. Join us as Dr. Keihani shares his journey, the inspiration behind his work, and the innovative neurotechnologies driving his research. We'll explore how his project aims to provide real-time assessment of CMC in ALS patients and the potential impact this could have on the future of ALS diagnosis and treatment. Tune in to discover the intersection of personal passion and scientific innovation with Dr. Ahmadreza Keihani and learn how his work paves the way for new diagnostic possibilities in the fight against ALS. International BCI Award: The International BCI Award sponsored by g.tec medical engineering GmbH is back! If you're working on pioneering BCI research, use your chance to gain international recognition. With a total endowment of $6,000 USD and the possibility of publishing and presenting your work globally, this is an opportunity to shine at the forefront of neuroscience innovation. Submission Deadline: September 1st, 2024 Nominees will be invited to: Submit a chapter for the BCI State-of-the-Art book series by Springer. Present their work at the prestigious BCI Award Ceremony. Receive keynote invitations to the BCI & Neurotechnology Spring School. For more details on submission and criteria, visit: https://www.bci-award.com Join the BCI Award Ceremony! About the Podcast Guest: Ahmadreza Keihani, PhD graduated with a BSc in Biomedical Engineering (Bioelectric) from Isfahan University in 2014 and completed his MSc and PhD in the same field at Tehran University of Medical Sciences (TUMS), graduating as valedictorian in 2022. He was then invited to be an assistant professor of neuroimaging at TUMS but moved to the US in 2022 to learn more and work as a postdoctoral associate in the Department of Psychiatry at the University of Pittsburgh, focusing on computational neuroscience. Ahmadreza's research interests include neuroimaging, nonlinear dynamics, biomedical data science, and brain-computer interfaces (BCI). His PhD work on cortico-muscular coupling in ALS patients was nominated for the 2023 BCI Award. He is dedicated to translational research on neurological and psychiatric disorders, with a special focus on causal machine learning. Link to the review BCI paper mentioned in the podcast interview: https://www.mdpi.com/1424-8220/12/2/1211_2 Link to the work discussed in the podcast interview: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0270757 About the Podcast Host: The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed. Here's what you'll get with one-on-one coaching sessions from Dr. K: Identification and pursuit of career goals Guidance on job search strategies, resume, and cover letter development Neurotech / neuroscience job interview preparation and practice Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies Ongoing support and guidance to help you stay on track and achieve your goals You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation Subscribe to our Nerocareers Newsletter to stay on top of all our cool neurocareers news at updates https://www.neuroapproaches.org/neurocareers-news

Breaking Conventional BCI Constraints with Vincent Rouanne, PhD

Play Episode Listen Later Jun 23, 2024 85:32

How do we break through existing boundaries in Brain-Computer Interface (BCI) technology? What barriers currently hinder the progress of BCI, and how can overcoming these challenges revolutionize the field? In this episode of the Neurocareers Podcast BCI Award series, we're diving deep into the innovative world of BCIs with Dr. Vincent Rouanne. As a nominee for the 2022 BCI Award, Vincent's work represents a significant leap forward in the field. His groundbreaking project, published in Nature Scientific Reports, introduces the auto-adaptive BCI (aaBCI). This technology challenges traditional BCI constraints, particularly the extensive need for calibration and training, opening new avenues for user-friendly interfaces. Dr. Rouanne's approach involves Motor Task Performance (MTP) Decoders and Control Decoders, which together enhance the system's ability to understand and respond to the user's intentions with remarkable accuracy. This novel methodology reduces user effort and significantly improves the adaptability and efficiency of BCI systems. Dr. Rouanne's work was developed at Univ. Grenoble Alpes, CEA, LETI, Clinatec, in collaboration with esteemed colleagues, setting a new standard in the field. In today's episode, Vincent shares his insights from the BCI Award project submission process and offers invaluable advice for successful submissions. He also provides career guidance for aspiring scientists who wish to follow in his footsteps, pushing the boundaries of what's possible in neuroscience and BCI technology. The International BCI Award is back and bigger than ever! If you're working on pioneering BCI research, don't miss your chance to gain international recognition. With a total endowment of $6,000 USD and opportunities to publish and present your work globally, this is an opportunity to shine at the forefront of neuroscience innovation. Submission Deadline: September 1st, 2024 Prize Details: 1st Place: $3000 USD 2nd Place: $2000 USD 3rd Place: $1000 USD Nominees will be invited to: Submit a chapter for the BCI State-of-the-Art book series by Springer. Present their work at the prestigious BCI Award Ceremony. Receive keynote invitations to the BCI & Neurotechnology Spring School. Submission Process: Write a clear two-page description of your project in English. Create a concise two-minute video explaining your project. Email your documents and video to submit@bci-award.com before the deadline. Attend the virtual ceremony or send a delegate for potential awards. Prepare for global recognition and a significant impact in the BCI community. For more details on submission and criteria, visit BCI Award Submission Information: https://www.bci-award.com/Home Let's shape the future of BCI together! Join us in celebrating innovation and pushing the frontiers of neuroscience. Tune in to this exciting episode and get inspired by Dr. Vincent Rouanne's journey in advancing neurotechnology! About the Podcast Guest: Vincent Rouanne, PhD, is at the forefront of Brain-Computer Interface (BCI) technology, passionately working to advance research and facilitate the integration of BCIs into everyday life. With a PhD in Neuroscience, Dr. Rouanne combines advanced academic knowledge with extensive hands-on experience in Machine Learning, Signal Processing, and Brain Data Acquisition. His professional background is marked by pivotal roles in cutting-edge environments, including a leading neuroengineering startup, MindMaze, as well as top-tier BCI research labs such as Clinatec in Grenoble, France, and the CNBI lab in Lausanne, Switzerland. These positions have sharpened his expertise in areas crucial to the development and application of neurotechnology. Areas of Expertise: Data Science & Analysis: Skilled in leveraging large datasets to develop insights that propel BCI technology forward. Signal Processing: Expert in manipulating complex neural signals to enhance the functionality and integration of BCIs. Neural Networks & Artificial Intelligence: Innovates with AI models to improve BCI adaptability and user experience. Research and Development: Committed to pioneering advancements in neurotechnology through rigorous research and development. Programming: Proficient in Python, Matlab, and C++, using these tools to build sophisticated healthcare and neurotechnology applications. Dr. Rouanne is dedicated to using his extensive knowledge and unique skills to contribute to a future where BCIs enhance human capabilities, improving the quality of life and transforming healthcare delivery. Connect with Vincent Rouanne, PhD on LinkedIn: https://www.linkedin.com/in/vincent-rouanne-384b76147 About the Podcast Host: The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed. Here's what you'll get with one-on-one coaching sessions from Dr. K: Identification and pursuit of career goals Guidance on job search strategies, resume, and cover letter development Neurotech / neuroscience job interview preparation and practice Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies Ongoing support and guidance to help you stay on track and achieve your goals You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation Subscribe to our Nerocareers Newsletter to stay on top of all our cool neurocareers news at updates https://www.neuroapproaches.org/neurocareers-news

Digital Signal Processing and the AI Architecture Evolution

university ai washington spoilers digital evolution architecture pcb dsps fish fry signal processing

Play Episode Listen Later May 10, 2024 17:13

This week's Fish Fry podcast is all about digital signal processing! Pulin Desai (Cadence Design Systems) joins me to chat about recent developments in vision, radar and lidar applications, AI inference trends that are driving the need for flexible and programmable digital signal processing, and why DSPs are indispensable in the new world of artificial intelligence. Also this week, I check out a new PCB prototype developed at the University of Washington that is almost completely recyclable. (Spoiler Alert: It can turn into jelly!)

Human-Computer Interaction via Brain-Computer Interfaces with Jaime Salas

Play Episode Listen Later May 9, 2024 73:27

How can technology amplify human capabilities? Today, we're diving into the world of Human-Computer Interaction to explore the cutting-edge field of Brain-Computer Interfaces. We're joined by Jaime Salas, a researcher and educator whose work at the Institution University of Envigado (IUE) in Colombia from 2021 to 2023 has impacted our understanding of these technologies. At IUE, Jaime led initiatives in Industrial Automation and explored the field of Human-Computer Interaction, particularly through his work with Brain-Computer Interfaces. His approach integrates deep learning, signal processing, and experimental psychology, enhancing our interaction with machines. During his tenure, Jaime's research incorporated methods like electroencephalography and eye-tracking, to elevate user experience and system functionality. He also served as a Senior Data Scientist, developing key metrics for Digital Transformation and assessing technological impacts on society. Before starting his current PhD studies at Potsdam University, where he focuses on multimodal interactions between humans and robots, Jaime's contributions laid foundational work in digital innovation. Join us as we explore Jaime Salas's contributions to Human-Computer Interaction before he transitioned to his current research endeavors! About the Podcast Guest: Jaime's academic journey is rich and diverse. After earning his Master's degree in Computer Science from UFRGS in Porto Alegre, Brazil, he returned to his roots in Colombia where he served as a mechatronics engineer, educated at ITM in Medellin. His extensive teaching experience includes roles as an Assistant Professor leading the Industrial Automation research line at the University of Envigado and as a lecturer at EAFIT in Medellin. Beyond academia, Jaime made significant contributions to the technology sector as a Senior Data Scientist at MINTIC in Bogotà, Colombia. There, he spearheaded projects on Digital Transformation and developed the Digital Gap Indexes, evaluating the technological impact on society. He has also held professorships at Mariana University and AUNAR in Pasto, Colombia. Jaime's expertise spans several cutting-edge areas, including Human-Computer Interaction (focusing on Brain-Computer Interfaces), Artificial Intelligence (specializing in Deep Learning), Robotics, and Signal Processing. His work in experimental psychology, utilizing tools like electroencephalography and eye tracking, further underscores his commitment to understanding the nuances of human interaction with digital interfaces. Connect with Jaime Salas on LinkedIn: https://www.linkedin.com/in/jars0829/ About the Podcast Host: The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed. Here's what you'll get with one-on-one coaching sessions from Dr. K: Identification and pursuit of career goals Guidance on job search strategies, resume, and cover letter development Neurotech / neuroscience job interview preparation and practice Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies Ongoing support and guidance to help you stay on track and achieve your goals You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation Subscribe to our Nerocareers Newsletter to stay on top of all our cool neurocareers news at updates https://www.neuroapproaches.org/neurocareers-news

Fast-Tracking Speech Neuroprostheses: Decoding from sEEG with Maxime Verwoert

Play Episode Listen Later Apr 29, 2024 70:32

Have you ever wondered if it's possible to give speech back to those who've lost it using advanced brain technology? Dear Listeners, welcome to episode #82 of our “Neurocareers: Doing the Impossible!” podcast, where we're diving deep into the world of speech neuroprostheses and exploring how brain-computer interfaces (BCIs) are unlocking new ways to communicate. Speech-decoding BCIs are gaining ground rapidly. They promise a new way to communicate for those who cannot speak by tapping directly into brain activity. The secret to making these devices work is understanding how speech is produced in the brain, from the timing to the specific brain regions involved. Interestingly, it looks like even deeper brain areas, including the insula, hippocampus, and thalamus are involved in this process. I am your podcast host Dr. Milena Korostenskaja or simply Dr. K. and joining us today is Maxime Verwoert, a researcher with the long-term goal of developing speech neuroprostheses. After her studies in Psychology and Neuroscience at Utrecht University, Maxime is now a PhD candidate at Maastricht University in Netherlands focusing on decoding speech signals in real-time with stereo-EEG. This technology is less invasive than other methods, such as ECoG, offering hope for long-term use in BCIs. Maxime's recent work, published in Nature's Scientific Data, involved collecting a rich dataset from participants reading aloud while their brain activity was meticulously recorded. This dataset covers a broad spectrum of brain regions and offers deep insights into how we produce speech. In our chat, Maxime explains how this cutting-edge technology is developed, the hurdles of interpreting complex brain signals into speech, and what the future holds for people needing speech neuroprostheses. Maxime will also share her advice for those who are planning to get into the field of neurotechnologies. Whether you're a tech enthusiast, a healthcare professional, or just curious about how neuroscience changes lives, this conversation promises to bring unique knowledge and inspiration. So tune in, and get ready to be amazed by how close we are to turning thoughts into words! About the Podcast Guest: Get in touch with Maxime Verwoert via LinkedIn: https://www.linkedin.com/in/maxime-verwoert-756966105/ Lab: https://neuralinterfacinglab.github.io/ Dataset: https://osf.io/nrgx6/ https://www.nature.com/articles/s41597-022-01542-9 Articles: https://doi.org/10.3389/fnins.2020.00123 (sEEG for BCIs) https://ieeexplore.ieee.org/document/10394550 (sEEG semantics) https://www.nature.com/articles/s42003-021-02578-0 (sEEG speech BCI proof-of-concept) https://doi.org/10.1007/s13311-022-01190-2 (speech BCI review) Courses: https://www.codecademy.com/ https://www.codecademy.com/ https://www.coursera.org/ https://scikit-learn.org/stable/ https://neuromatch.io/ Mental Health: “Feeling Great” Book (https://www.amazon.com/stores/page/E0B7C5D5-CD14-405B-BD0A-253F8D94A3B4?channel=db-website) “Feeling Good” Podcast (https://feelinggood.com/subscribe/) About the Podcast Host: The Neurocareers podcast is brought to you by The Institute of Neuroapproaches (https://www.neuroapproaches.org/) and its founder, Milena Korostenskaja, Ph.D. (Dr. K), a neuroscience educator, research consultant, and career coach for people in neuroscience and neurotechnologies. As a professional coach with a background in the field, Dr. K understands the unique challenges and opportunities job applicants face in this field and can provide personalized coaching and support to help you succeed. Here's what you'll get with one-on-one coaching sessions from Dr. K: Identification and pursuit of career goals Guidance on job search strategies, resume, and cover letter development Neurotech / neuroscience job interview preparation and practice Networking strategies to connect with professionals in the field of neuroscience and neurotechnologies Ongoing support and guidance to help you stay on track and achieve your goals You can always schedule a free neurocareer consultation/coaching session with Dr. K at https://neuroapproaches.as.me/free-neurocareer-consultation Subscribe to our Nerocareers Newsletter to stay on top of all our cool neurocareers news at updates https://www.neuroapproaches.org/neurocareers-news

High Flying Digital Signal Processing! New Design Possibilities with HiFi DSPs

digital possibilities hi fi high flying dsps fish fry new design signal processing

Play Episode Listen Later Mar 29, 2024 19:02

In this week's Fish Fry podcast, Prakash Madhvapathy (Cadence Design Systems) and I investigate recent trends in audio digital signal processing. We also discuss how Cadence's HiFi 1s and HiFi 5s DSPs are simplifying ease of programming, accelerating machine learning applications and opening up new avenues of innovation for audio digital signal processing enhanced applications.

How To Learn Audio Signal Processing And Audio Circuit Modeling With Eric Tarr | WolfTalk #020

WolfTalk: Podcast About Audio Programming (People, Careers, Learning)

Play Episode Listen Later Mar 4, 2024 83:48

Eric Tarr is a professor at the Belmont University where he teaches Audio Signal Processing. In the audio programming community, he's most famous for his book “Hack Audio” on the basics of digital signal processing using Matlab and his point-to-point modeling library for analog audio circuit emulation.Eric's work has definitely been an inspiration for starting the WolfSound blog and the YouTube channel so it's really exciting to have him on the show!In the podcast, we'll delve into his story, how he learned audio signal processing, how he managed to work with some amazing audio companies (Sennheiser, Epic Games, Skywalker Sounds), and top tips on how to learn DSP coming from Eric's teaching experience. We also discuss in detail how to model analog audio circuits for audio plugins (so called virtual analog modeling). Here, Eric describes which state-of-the-art methods are available and how you can learn them. He also shares the details of this point-to-point modeling library which allows you to easily emulate analog audio circuits.As a special feat, I'd asked my coachees who follow Eric's work to provide questions to him concerning a variety of different topics, including the impact of AI on the virtual analog modeling space.All in all, it's an episode that you don't want to miss!Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. You can also subscribe and give a like on YouTube. Thank you for doing this

spotify ai modeling python circuit epic games dsp belmont university sennheiser tarr matlab signal processing

"To solve technical problems it's a high amount of creativity that is required" (#35)

Made in Science – The official podcast of the University of Stuttgart

Play Episode Listen Later Feb 14, 2024 37:59

Our guest is Dr. Luiz Chamon from Brazil, who came to the University of Stuttgart in 2022. He heads is own research group at the at the Cluster of Excellence SimTech and ELLIS. His research areas covers optimization, signal processing, machine learning, and control, particularly in some intersection of these fields. In our conversation we hear about different forms of learning, some of his international expierences, music in his life and what it is all about "living next door to ELLIS". More: https://www.luizchamon.com/ https://www.simtech.uni-stuttgart.de/ https://ellis.eu/

university learning research creativity brazil solve statistics required machine learning stuttgart amount cluster technical problems signal processing

The Potential of Artificial Intelligence in Perioperative Care Q&A | EBPOM World Congress

TopMedTalk

Play Episode Listen Later Feb 12, 2024 30:55

This piece is a discussion which followed three presentations at the Evidence Based Perioperaive Medicine (EBPOM) World Congress in London on artificial intelligence in perioperative medicine. Although, for an informed listener, it will work as a standalone piece the presentations which it is in part a response to are here: Part one is here: https://topmedtalk.libsyn.com/ai-in-perioperative-care-part-1-ebpom-london-2023 Part two is here: https://topmedtalk.libsyn.com/artificial-intelligence-in-perioperative-care-part-2-ebpom-2023 Part three is here: https://topmedtalk.libsyn.com/ai-predictive-monitoring-to-prevent-hemodynamic-instability-and-deterioration-in-perioperative-and-acute-care-patients-ebpom-world-congress On the panel are; Feras Hatib, Vice President of the R&D Algorithms and Signal Processing organization for Critical Care and Vascular at Edwards Lifesciences in Irvine California, Adriane Chapman, Professor at University of Southampton, Head of Digital Health Research Group, Director for the Centre for Health Technologies and Sandy (Alexander) Jackson, specialty trainee in anaesthetics and intensive care medicine and a National Institute for Health and Care Research (NIHR) Doctoral Fellow at the University of Southampton. This piece is chaired by TopMedTalk's co-editor in Chief Mike Grocott, Professor of Anaesthesia and Critical Care Medicine at the University of Southampton.

director university head health professor vice president artificial intelligence national institutes southampton critical care vascular world congress critical care medicine anaesthesia irvine california edwards lifesciences signal processing perioperative care topmedtalk

AI Predictive Monitoring to prevent Hemodynamic Instability and Deterioration in Perioperative and Acute Care Patients | EBPOM World Congress

TopMedTalk

Play Episode Listen Later Feb 5, 2024 22:34

“AI Predictive Monitoring to prevent Hemodynamic Instability and Deterioration in Perioperative and Acute Care Patients” was a talk given at the Evidence Based Perioperative Medicine (EBPOM) World Congress. For more on their conferences check out www.ebpom.org Presented by Feras Hatib, Vice President of the R&D Algorithms and Signal Processing organization for Critical Care and Vascular at Edwards Lifesciences in Irvine California. This piece works as a standalone talk but it is part 3 of a 4 part series. Part one is here: https://topmedtalk.libsyn.com/ai-in-perioperative-care-part-1-ebpom-london-2023 Part two is here: https://topmedtalk.libsyn.com/artificial-intelligence-in-perioperative-care-part-2-ebpom-2023 And, still to come, a fascinating panel discussion. Make sure you like and subscribe to TopMedTalk so you hear it first.

vice president patients prevent monitoring predictive instability critical care vascular world congress acute care deterioration perioperative irvine california hemodynamics edwards lifesciences signal processing topmedtalk

The Future of Digital Signal Processing with Cadence

The Electropages Podcast

Play Episode Listen Later Dec 20, 2023 21:38

In this episode of the Electropages Podcast Robin Mitchell is joined by Pulin Desai and Yipeng Liu, both Group Directors of Product Marketing for Cadence. Our guests unveil their latest DSP offerings designed to revolutionize audio and visual processing. Yipeng introduces the Hi-Fi DSP, a product engineered for audio signal processing, with a special focus on enhancing voice UI applications. This DSP integrates AI and neural network technologies to process and recognize voice commands efficiently, marking a significant advancement in user interface interactions. Pulin unveils the Vision DSP, a masterpiece of engineering tailored for high data rate processing from sources like cameras, radars, and LiDAR. This DSP stands out for its energy efficiency and performance, making it a preferred choice for battery-powered and energy-sensitive applications. The Vision DSP is not just about processing but does so with an eye on conserving energy, ensuring that devices are not just smart but also sustainable. To learn more about Cadence, please visit: https://www.cadence.com/en_US/home.html

ai digital ui lidar product marketing dsp signal processing

Sergio Leon: Fourier from Cuba to Cutting-Edge AI

Data Chaos

Play Episode Listen Later Nov 14, 2023 79:28

Hey folks!

trust ai cuba cto cuban cutting edge serge fourier edge ai signal processing

Continuous Blood Pressure Monitoring Using Optical Signal Processing with Dr. Jay Shah Aktiia

Play Episode Listen Later Oct 17, 2023 17:51

Dr. Jay Shah, Chief Medical Officer of Aktiia, discusses the importance of tracking blood pressure and the challenges of managing high blood pressure. With only one in five people with high blood pressure having it under control, long-term monitoring is crucial for better understanding blood pressure trends and optimizing health. The Aktiia wearable blood pressure monitoring device uses optical signal processing to continuously monitor blood pressure without the need for action to be taken by the patient. Jay explains, "The real danger of high blood pressure occurs over years, decades, long periods of time of having your blood pressure outside the optimal range. It is really what causes the detrimental effects to many of the different organs of our body, of our heart, brain, kidneys, eyes, aorta, and so on. And so the importance of understanding what your blood pressure is over long periods of time is really what we're focused on at Aktiia. That's why people should be aware of and track their blood pressure on a long-term basis." "Aktiia is a Swiss company and it was founded about five years ago. The technology has been in development for two decades by the founders, co-founders in an engineering think tank out of Switzerland. And they've been pioneers of what's called optical signal processing." "This is taking signals from LED lights and the reflection of that light from the skin or the capillary bed, the small vessels in our skin, and deducing the numeric physiologic parameters. And they started around heart rate. They were the pioneers of understanding how to take optical signals from sensors at the wrist and create heart rate calculations. This was done way back before there were smart watches or wearables. It was done back in the early 2000s. After they got good at that, they turned to blood pressure." #Aktiia #Hypertension #HighBloodPressure #BloodPressure #MedicalDevices #Wearable #HealthTracking #Fitness Aktiia.com Download the transcript here

switzerland led swiss monitoring continuous chief medical officers blood pressure optical jay shah signal processing aktiia

Continuous Blood Pressure Monitoring Using Optical Signal Processing with Dr. Jay Shah Aktiia TRANSCRIPT

Constellations, a New Space and Satellite Innovation Podcast

Play Episode Listen Later Oct 17, 2023

Dr. Jay Shah, Chief Medical Officer of Aktiia, discusses the importance of tracking blood pressure and the challenges of managing high blood pressure. With only one in five people with high blood pressure having it under control, long-term monitoring is crucial for better understanding blood pressure trends and optimizing health. The Aktiia wearable blood pressure monitoring device uses optical signal processing to continuously monitor blood pressure without the need for action to be taken by the patient. Jay explains, "The real danger of high blood pressure occurs over years, decades, long periods of time of having your blood pressure outside the optimal range. It is really what causes the detrimental effects to many of the different organs of our body, of our heart, brain, kidneys, eyes, aorta, and so on. And so the importance of understanding what your blood pressure is over long periods of time is really what we're focused on at Aktiia. That's why people should be aware of and track their blood pressure on a long-term basis." "Aktiia is a Swiss company and it was founded about five years ago. The technology has been in development for two decades by the founders, co-founders in an engineering think tank out of Switzerland. And they've been pioneers of what's called optical signal processing." "This is taking signals from LED lights and the reflection of that light from the skin or the capillary bed, the small vessels in our skin, and deducing the numeric physiologic parameters. And they started around heart rate. They were the pioneers of understanding how to take optical signals from sensors at the wrist and create heart rate calculations. This was done way back before there were smart watches or wearables. It was done back in the early 2000s. After they got good at that, they turned to blood pressure." #Aktiia #Hypertension #HighBloodPressure #BloodPressure #MedicalDevices #Wearable #HealthTracking #Fitness Aktiia.com Listen to the podcast here

switzerland led swiss monitoring continuous chief medical officers blood pressure optical jay shah signal processing aktiia

150 - Virtual Signal Processing, Software-Defined Satellite Terminals and the Evolution of the Network Edge

Play Episode Listen Later Mar 29, 2023 25:56

Digitally transformative technologies have been making their way across the satellite industry. From the core to gateways, in orbit and on the ground – there's no denying that space communications is starting to become more like space IT. Hear a panel of experts from XipLink, Kratos, and NSR, an Analysys Mason company, discuss how digital transformation is changing satellite communications at the remote terminal also known as “the edge.”

evolution network virtual satellites digitally kratos terminals software defined nsr signal processing

Delivering RF signal processing solutions to the edge with MOSA

MercuryNOW

Play Episode Listen Later Nov 29, 2022 6:05 Transcription Available

Today's pace of technology development means the traditional approach of custom-designed modules and subsystems is too slow, but Modular Open System Architecture (MOSA) approaches can deliver on system demands without sacrificing performance or scalability.

delivering mosa signal processing

Episode 90: An Interdisciplinary Approach: Industry to Research

Let's Go to Space: BLUE-SKY Learning

Play Episode Listen Later Nov 7, 2022 33:02

Michele Jamrozik received her PhD degree from the Georgia Institute of Technology in 2003 form the Department of Electrical and Computer Engineering. Michele has experience in both academia (research and teaching in speech, image, and video processing) as well as in industry (automotive software and electronics, computer vision systems, biotech/nanotechnology, etc.). More recently, Michele completed the Interdisciplinary Space Master at the University of Luxembourg. Michele is currently a research associate in the SnT computer vision group CVi2 at the at the University of Luxembourg where she is working on AI solutions for space and fraud detection. Dr. Jamrozik is a member of the IEEE Computer and Signal Processing societies. --- Support this podcast: https://anchor.fm/shawna-christenson2/support

university ai technology phd research electrical luxembourg computer engineering interdisciplinary georgia institute signal processing snt

#61 Fotogrametría y programación del cerebro

Digitalizados

Play Episode Listen Later Nov 4, 2022 67:25

Gustavo Olague es investigador del Centro de Investigación Científica y de Educación Superior de Ensenada. Gustavo nos comparte su experiencia en reconocimiento de patrones, computación genética y evolutiva y el concepto de “Brain programming” que su equipo ha acuñado. Basado en estas técnicas Gustavo ha realizado importantes contribuciones en fotogrametría por medio de la transformación proyectiva y la geometría no euclidiana. Igualmente, Gustavo nos comparte la relación entre la evolución artificial y la teleología.Gustavo Olague (Senior Member, IEEE) nació en Chihuahua, México, en 1969. Obtuvo la licenciatura y la maestría en ingeniería industrial y electrónica en el Instituto Tecnológico de Chihuahua (ITCH) en 1992 y 1995, respectivamente, y el doctorado en visión por computadora, gráficos y robótica en el Institut Polytechnique de Grenoble (INPG) y el Institut National de Recherche en Informatique et en Automatique (INRIA), Francia, en 1998. Es profesor del Departamento de Informática del CICESE (Centro de Investigación Científica y de Educación Superior de Ensenada) en México, y director del equipo de investigación EvoVisión. Fue profesor adjunto de Ingeniería en la UACH (Universidad Autonóma de Chihuahua). Es autor de más de 150 ponencias en actas de congresos y artículos en revistas y coeditó tres números especiales en Pattern Recognition Letters, Evolutionary Computation y Applied Optics. Ha sido copresidente de la sección de aplicaciones en el mundo real en la principal conferencia internacional de computación evolutiva, GECCO (ACM SIGEVO Genetic and Evolutionary Computation Conference), y actualmente es editor asociado en Engineering Applications of Artificial Intelligence, Axioms, Neural Computing and Applications y IEEE Access. El prof. Olague ha recibido numerosas distinciones, entre ellas el Premio Talbert Abrams otorgado por la Sociedad Americana de Fotogrametría y Teledetección (ASPRS) por la autoría y el registro de los desarrollos actuales e históricos de la ingeniería y la ciencia en la fotogrametría; Editor Asociado Destacado IEEE Access 2021; premios al mejor artículo en las principales conferencias, como GECCO, EvoIASP (European Workshop on Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition) y EvoHOT (European Workshop on Evolutionary Hardware Optimization); y dos veces la medalla de bronce en los Humies (premio GECCO a los resultados competitivos en humanos producidos por la computación genética y evolutiva). Sus principales intereses de investigación son la computación evolutiva y la visión por ordenador. Gustavo Olague es autor del libro Evolutionary Computer Vision publicado por Springer en la serie Natural Computing.

قصرة بودكاست: بشير نايل (تميز الجامعة الجزائرية: التحديات والمستقبل) Gusra Podcast #71 Nail Bachir

Gusra Podcast - بودكاست قصرة

Play Episode Listen Later Sep 17, 2022 82:56

ماهي التحديات التي تواجهها الجامعات والمدارس العليا الجزائرية ؟ هل يمكن استنساخ النماذج الغربية في تسيير الجامعات؟ وكيف يمكن تطوير التكوين الجامعي؟ كل هاته الأسئلة يجيبنا عنها في الحلقة 71 لـ #بودكاست

google podcasts nail deezer bachir signal processing

#230 - Gorish Aggarwal, CEO of Sybill - on providing Sales with a competitive advantage

Value Inspiration Podcast

Play Episode Listen Later Sep 14, 2022 45:28

This podcast interview focuses on product innovation that has the power to empower GTM teams to understand their prospects and supercharge their processes. My guest is Gorish Aggarwal, Co-founder, and CEO of Sybill. Gorish is a self-made tech entrepreneur obsessed with solving hard problems. Throughout his career, he worked as a senior software engineer in the healthcare research team of Samsung Advanced Institute of Technology (SAIT). He's an electrical engineering graduate from IIT Delhi and specializes in the field of ML and Signal Processing for neural and biomedical applications. He loves working on projects which can address the real-world challenges of today and have the potential to create a meaningful impact in the lives of people. Today, he's the Co-founder and CEO of Sybill. The big idea behind Sybill stems from his time lecturing at Stanford in the summer of 2020. Gorish firsthand faced the problem of gauging student engagement and sentiment in video calls. He decided to solve this problem for us and the world. Sybill is on a mission to introduce a new era in meeting intelligence, going beyond transcription and keyword searches and surfacing the aha! moments and buying intent of your prospects. And this inspired me, and hence I invited Gorish to my podcast. We explore what's broken in the way we leverage the value of video calls. Gorish shares his vision of how we can give Sales a competitive advantage by augmenting them with insights about the invisible behavior their customers showcase when meeting online. We dig into the big learnings and tough decisions that needed to be made in the development process and how that has panned out in stickiness and viral effects. Last but not least, he shares his advice on what it takes to build a software business that cannot be ignored. Here's one of his quotes "If we can quantify and track these behaviors, humans can actually level up their conversation. If they can get signals about their audience's mental state during the call, they can improve their presentation and their pitch to effectively take the audience from that point A to point B, which is the objective of most conversations. For instance, if sales reps could understand that the prospect is disengaged during the most important section about the core offering, they could actually disqualify that prospect far earlier." During this interview, you will learn four things: Why niching down is essential to creating predictable traction That 'cool' is not often valuable - and how that hurts adoption How to go to market even faster - and gather critical information to gain an advantage. How adding one simple feature can become the ice-breaker in every conversation - and drive word of mouth Subscribe to the Daily Value Inspiration Stressed by the thought of 'not enough' traction? Eager to know how to remove the roadblocks that slow down your entire SaaS business? Then Subscribe here It's a short daily reflection on how to shape a B2B SaaS business your customers would miss if it were gone. Learn more about your ad choices. Visit megaphone.fm/adchoices

ceo sales stanford providing saas ml eager competitive advantage b2b saas gtm aggarwal iit delhi signal processing sybill

McDSP - Analog Processing Box

People & Music Industry

Play Episode Listen Later Sep 1, 2022 35:00

Chapters00:00 - Introduction00:17 - Getting Started Creating Audio Products01:08 - The Necessary Training02:01 - Algorithm Development05:40 - The User Interface07:26 - Vintage Emulation09:30 - 20 Years Of Plug-in Development11:32 - How Useful Is Machine Learning?14:10 The APB (Analog Processing Box)17:07 - Analogue Electronics18:31 - Component Tolerances20:28 - Emulating Tubes21:51 - Combining Signals23:04 - The Capabilities Of APB24:58 - Extending The Capabilities Of APB25:46 - APB For Atmos26:30 - APB For Mastering28:11 - Other Analogue Effects31:02 - Using The APB For Saturation32:02 - Future Developments At McDSPMcDSP BiogMcDSP is an innovative Emmy award-winning Silicon Valley audio software and hardware company founded in 1998 by Colin McDowell.McDSP technology can be found in pro audio plug-ins for popular digital audio workstations including Pro Tools, Logic, Cubase, and Avid live sound systems. McDSP audio algorithms are also used by companies such as Audiokinetic, Bioware and Microsoft, and in consumer products like the LouderLogic iOS audio player. In 2019 McDSP introduced the world's first programmable analogue processor, the APB-16. The McDSP Analog Processing Box (APB) combines the flexibility of software plug-in control with the fidelity of premium analogue processing. Options include compressors, mastering limiters, transient enhancement devices, multi-channel and multi-band applications.https://www.mcdsp.com/Sam Inglis BiogEditor In Chief Sam Inglis has been with Sound On Sound for more than 20 years. He is a recording engineer, producer, songwriter and folk musician who studies the traditional songs of England and Scotland, and the author of Neil Young's Harvest (Bloomsbury, 2003) and Teach Yourself Songwriting (Hodder, 2006).https://www.soundonsound.com

interview technology england microsoft scotland silicon valley options logic processing neil young analog bioware avid plugins pro tools apb cubase signal processing sound on sound

109: Digital Signal Processing with NxSignal

Thinking Elixir Podcast

Play Episode Listen Later Jul 26, 2022 35:27

A new library in the Nx ecosystem under active development is called NxSignal by Paulo Valente. We talk with Paulo to learn what a DSP (Digital Signal Processor) is, how it works, and we touch on the kinds of problems it can solve. We learn about his involvement in Nx, where the library is going, and some unusual ways he's applied it. He also shares how he's using Nx Explorer in production to clean up and process financial data returned in a JSON API and much more! Show Notes online - http://podcast.thinkingelixir.com/109 (http://podcast.thinkingelixir.com/109) Elixir Community News - https://asciinema.org/a/FYnQFc358WaL5uBfwZPoK5IRm (https://asciinema.org/a/FYnQFc358WaL5uBfwZPoK5IRm) – José Valim showed off a new Elixir.1.14 feature of line-by-line breakpoints demonstrated in IEx. - https://github.com/elixir-lang/elixir/pull/11974 (https://github.com/elixir-lang/elixir/pull/11974) – PR for initial Kernel.dbg/2 work - https://twitter.com/josevalim/status/1547154092019122176 (https://twitter.com/josevalim/status/1547154092019122176) - https://github.com/erlang/otp/pull/6144 (https://github.com/erlang/otp/pull/6144) – Implement new Erlang shell - https://blog.rabbitmq.com/posts/2022/07/rabbitmq-3-11-feature-preview-super-streams/ (https://blog.rabbitmq.com/posts/2022/07/rabbitmq-3-11-feature-preview-super-streams/) – RabbitMQ gets a new feature called “Super Streams” - https://github.com/elixir-grpc/grpc (https://github.com/elixir-grpc/grpc) – Paulo Valente became the new maintainer of the Elixir gRPC library - https://twitter.com/josevalim/status/1549091140246331399 (https://twitter.com/josevalim/status/1549091140246331399) – Livebook announcement. Cloud host or new Desktop option. - http://livebook.dev (http://livebook.dev) – Livebook Desktop was launched Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Discussion Resources - https://github.com/polvalente/nx-signal (https://github.com/polvalente/nx-signal) – NxSignal project - https://twitter.com/polvalente/status/1533954854946848771 (https://twitter.com/polvalente/status/1533954854946848771) - https://www.stone.co/ (https://www.stone.co/) – Where Paulo Valente works - https://www.premierguitar.com/gear/gibsons-self-tuning-guitar (https://www.premierguitar.com/gear/gibsons-self-tuning-guitar) – Example of self tuning guitar with built-in DSP - https://en.wikipedia.org/wiki/ListofSuperNESenhancement_chips#DSP (https://en.wikipedia.org/wiki/List_of_Super_NES_enhancement_chips#DSP) – SNES DSP enhancement chips - https://github.com/polvalente/grpclassify (https://github.com/polvalente/grpclassify) – His academic project for transcribing musical notes - http://www.repositorio.poli.ufrj.br/monografias/monopoli10029831.pdf (http://www.repositorio.poli.ufrj.br/monografias/monopoli10029831.pdf) – The final project for his engineering degree that led him to get involved with Nx. - https://grpc.io/ (https://grpc.io/) – gRPC project - https://github.com/elixir-grpc/grpc (https://github.com/elixir-grpc/grpc) – An Elixir implementation of gRPC - https://prometheus.io/docs/introduction/overview/ (https://prometheus.io/docs/introduction/overview/) Guest Information - https://twitter.com/polvalente (https://twitter.com/polvalente) – on Twitter - https://github.com/polvalente/ (https://github.com/polvalente/) – on Github Find us online - Message the show - @ThinkingElixir (https://twitter.com/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen - @brainlid (https://twitter.com/brainlid) - David Bernheisel - @bernheisel (https://twitter.com/bernheisel) - Cade Ward - @cadebward (https://twitter.com/cadebward)

pr digital cloud implement desktops elixir dsp kernel nx super nes erlang grpc rabbitmq signal processing iex json api

Streaming Analytics and Real-Time Signal Processing with Apache Kafka

Streaming Audio: a Confluent podcast about Apache Kafka

Play Episode Listen Later Jul 14, 2022 66:33 Transcription Available

Imagine you can process and analyze real-time event streams for intelligence to mitigate cyber threats or keep soldiers constantly alerted to risks and precautions they should take based on events. In this episode, Jeffrey Needham (Senior Solutions Engineer, Advanced Technology Group, Confluent) shares use cases on how Apache Kafka® can be used for real-time signal processing to mitigate risk before it arises. He also explains the classic Kafka transactional processing defaults and the distinction between transactional and analytic processing. Jeffrey is part of the customer solutions and innovations division (CSID), which involves designing event streaming platforms and innovations to improve productivity for organizations by pushing the envelope of Kafka for real-time signal processing. What is signal intelligence? Jeffrey explains that it's not always affiliated with the military. Signal processing improves your operational or situational awareness by understanding the petabyte datasets of clickstream data, or the telemetry coming in from sensors, which could be the satellite or sensor arrays along a water pipeline. That is, bringing in event data from external sources to analyze, and then finding the pattern in the series of events to make informed decisions. Conventional On-Line Analytical Processing (OLAP) or data warehouse platforms evolved out of the transaction processing model. However, when analytics or even AI processing is applied to any data set, these algorithms never look at a single column or row, but look for patterns within millions of rows of transactionally derived data. Transaction-centric solutions are designed to update and delete specific rows and columns in an “ACID” compliant manner, which makes them inefficient and usually unaffordable at scale because this capability is less critical when the analytic goal is to look for a pattern within millions or even billions of these rows.Kafka was designed as a step forward from classic transaction processing technologies, which can also be configured in a way that's optimized for signal processing high velocities of noisy or jittery data streams, in order to make sense, in real-time, of a dynamic, non-transactional environment.With its immutable, write-append commit logs, Kafka functions as a flight data recorder, which remains resilient even when network communications, or COMMs, are poor or nonexistent. Jeffrey shares the disconnected edge project he has been working on—smart soldier, which runs Kafka on a Raspberry Pi and x64-based handhelds. These devices are ergonomically integrated on each squad member to provide real-time visibility into the soldiers' activities or situations. COMMs permitting, the topic data is then mirrored upstream and aggregated at multiple tiers—mobile command post, battalion, HQ—to provide ever-increasing views of the entire battlefield, or whatever the sensor array is monitoring, including the all important supply chain. Jeffrey also shares a couple of other use cases on how Kafka can be used for signal intelligence, including cybersecurity and protecting national critical infrastructure.EPISODE LINKSUsing Kafka for Analytic ProcessingWatch the video version of this podcastStreaming Audio Playlist Learn more on Confluent DeveloperUse PODCAST100 to get $100 of free Confluent Cloud usage (details)

ai signal acid real time hq kafka transaction raspberry pi comms confluent apache kafka signal processing advanced technology group streaming analytics

Auditory Adventures: Cadence HiFi 1 Digital Signal Processing and Unlocking the Evolution of Hearing in Humans

digital evolution adventures humans hearing unlocking hi fi auditory dsps fish fry signal processing

Play Episode Listen Later Apr 8, 2022 19:30

What do sea anemones, Cadence HiFi DSPs, and the evolution of auditory sensing have in common? This week's Fish Fry podcast! Prakash Madhvapathy (Cadence Design Systems) joins me to discuss the challenges of always-on consumer and mobile devices, the necessary requirements for optimized always-on DSPs, and how HiFi DSPs (paired with other Tensilica solutions) can help solve the toughest complex audio processing applications. Also this week, I take a closer look at new research that has uncovered an evolutionary link between human hearing and sea anemones.

Tech Journey of Dagnachew Birru (PhD): From Ethiopia to the Netherlands and the USA

Habesha in Tech

Play Episode Listen Later Mar 14, 2022 84:48

Our guest is Dagnachew Birru (PhD) who is currently the Global Head of R&D at Quantiphi. Dr. Dagnachew has many years of experience as an idea-driven technology researcher, developer, and leader in systems employing Artificial Intelligence/Machine Learning and smart algorithms, resulting in 50+ issued patents. He was born and raised in Northern Ethiopia. Dr. Birru grew up in a very difficult time where there were no role models who could inspire him professionally. He was curious to learn about technology that he used to disassemble his dad's radio to learn where the sound was coming from and how it worked. He used to do some work to financially help his family. Dagnachew was a bright young man that he betted on himself that when he sat for a national exam he said "If I pass this exam, I will move forward and continue my education or else I will be a businessman". He passed and went to Addis Ababa University to study Electrical Engineering. Dr. Birru had high grade and the university hired him as a lecturer. After serving for about a year, he and his friend were able to secure a scholarship in Netherland where Phlips was funding the program. He studied Master of Science -Electrical and Electronics Engineering at Eindhoven University of Technology and Doctor of Philosophy (Ph.D.), Electronics Engineering and Signal Processing from Technische Universiteit Delft. His PhD thesis helped him secure his job at Philips in New York, USA. Dr. Birru have worked at Philips, Philips Lighting & Signify all of which are Philips companies and he served in many different levels started from a researcher to team leadership roles and to more higher positions such as Head of Research & Sr. Director, Head of Data Analytics and Artificial Intelligence Center of Excellence. He is currently Global Head of R&D at Quantiphi where he focuses further shape, build and lead a world-class R&D function, reimagining business with AI-led solutions, and laying the foundation for the next phase of growth. Quantiphi, Founded in 2013, is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. As always, I was privileged to learn Dagnachew Birru's Tech Journey first hand. I would like to thank Dr. Birru for his time and willingness to share his tech journey and respond to all of the questions from audiences and myself. I would also like to thank everyone who made it to the live session on clubhouse. Please help us spread this wonderful recording here on LinkedIn & all of the social media platforms. Share | Comment | Like Follow Teferi Kassa | Follow Habesha in Tech

Patricia Bleiker: signal processing to network engineer to product marketer

On Path

Play Episode Listen Later Jan 30, 2022 54:11

Here are some relevant links from the conversation: Patricia Bleiker on LinkedIn. Open Systems Scandit Thalwil, on the shores of Lake Zurich Show notes: 2:02 How working from home is going 4:47 Working remotely: we're all on the same level 5:19 Growing up in Thalwil 10:05 Discovering Zurich 10:54 An extended trip to South America 20:23 Gaining practical experience while studying 22:20 Intensity of the Bachelors degree at ETH 27:19 Internships 31:16 Joining Open Systems 36:57 A second masters + getting into product marketing 43:14 Continual learning 47:18 Joining Scandit 51:25 Advice for her younger self

marketing advice product engineers careers gaining marketers bachelors personal stories intensity continual network engineer signal processing

Treating Chronic Pain by Addressing Pain Signal Processing Disorder with Dr. Abigail Hirsch Lin Health TRANSCRIPT

health co founders addressing disorders treating chronic pain hirsch jama prt signal processing

Play Episode Listen Later Jan 12, 2022

Dr. Abigail Hirsch is the Co-Founder of Lin Health which is bringing innovative chronic pain treatments to a broader audience thanks to their digital behavioral health platform. Lin Health members get specifically designed pain management plans and virtual access for support from a deep team of medical experts. Abigail explains, "Then, let's get to the treatments that work for chronic pain. There's a seminal study that came out in JAMA this past fall, looking at a treatment called PRT, pain reprocessing therapy. There are some other papers with similar findings for similar therapies, but these are behavioral health techniques that were designed specifically to help turn down the pain processing system." "There are very specific techniques that may look a little bit like some other things in behavioral health, a little bit like a cognitive-behavioral approach, a little bit like a mindfulness approach. Still, they actually are quite different because they were designed specifically to help the pain processing pathways learn to settle down the degree to which they're signaling pain, and they're incredibly effective." #LinHealth #ChronicPain #PainProcessing #DigitalHealth #Telehealth #Telemedicine Lin.Health Listen to the podcast here

Treating Chronic Pain by Addressing Pain Signal Processing Disorder with Dr. Abigail Hirsch Lin Health

health co founders addressing disorders treating chronic pain hirsch jama prt signal processing

Play Episode Listen Later Jan 12, 2022 15:56

Dr. Abigail Hirsch is the Co-Founder of Lin Health which is bringing innovative chronic pain treatments to a broader audience thanks to their digital behavioral health platform. Lin Health members get specifically designed pain management plans and virtual access for support from a deep team of medical experts. Abigail explains, "Then, let's get to the treatments that work for chronic pain. There's a seminal study that came out in JAMA this past fall, looking at a treatment called PRT, pain reprocessing therapy. There are some other papers with similar findings for similar therapies, but these are behavioral health techniques that were designed specifically to help turn down the pain processing system." "There are very specific techniques that may look a little bit like some other things in behavioral health, a little bit like a cognitive-behavioral approach, a little bit like a mindfulness approach. Still, they actually are quite different because they were designed specifically to help the pain processing pathways learn to settle down the degree to which they're signaling pain, and they're incredibly effective." #LinHealth #ChronicPain #PainProcessing #DigitalHealth #Telehealth #Telemedicine Lin.Health Download the transcript here

Raghu Yarlagadda, CoFounder/CEO FalconX

FinTech Silicon Valley

Play Episode Listen Later Dec 25, 2021 20:34

Raghu is the Co-founder and CEO of FalconX, one of the largest and fastest growing digital asset brokerages. He's an engineer by background and passionate about building products that create value – leading him to become a serial entrepreneur,product leader, active investor, andboard advisor to several Silicon Valley startups. Prior to FalconX, Raghu held product leadership roles in Google. He was on Sundar Pichai's ChromeOS team and led efforts to scale Chromebooks to over $3 billion revenue for Google and its partners. He started his career atMotorola as an engineer in a team that pioneered high definition video transmission over IPstack, laying the technical foundation for many popular video streaming services such as Netflix and Youtube. Raghu holds an M.B.A. from Harvard Business School,M.S. from University of Texas at Dallasspecializing in Signal Processing & Machine Learning,and B.Tech. from Vellore Institute of Technology. SPONSORED VIA TACEN https://www.tacen.com/

ceo university netflix texas google technology tech silicon valley machine learning harvard business school co founder ceo chromebooks sundar pichai chrome os raghu signal processing

Learned Signal Processing: from Traditional to Modern Day Approaches

Q&AI

Play Episode Listen Later Dec 15, 2021 32:01

In this episode, we talk to Prof. Murat Tekalp, who is a Professor of Electrical and Electronics Engineering at Koç University, an IEEE Fellow, and a member of the Turkish Academy of Sciences and Academia Europaea. We talk about his research interests including image restoration and super-resolution which are the classical signal processing problems over the years, as well as modern deep learning approaches for digital image and video processing.

professor prof traditional sciences approaches modern day electrical electronics engineering signal processing ieee fellow ko university academia europaea

Data sensitivity and defects with Jose Unpingco

The Data Standard

Play Episode Listen Later Dec 9, 2021 11:52 Transcription Available

In this episode, guest Jose Unpingco sits down with TDS to discuss Data sensitivity and defects as well as defining a health data paradox. Dr. Jose Unpingco is currently the Senior Director for Data Science/Machine Learning at West Health Institute in La Jolla, a nonprofit medical research organization. Dr. Unpingco earned his Ph.D. in 1997 from the Electrical and Computer Engineering Department at the University of California, San Diego. Prior to joining West Health, Dr. Unpingco worked with the SSC Pacific High-Performance Computing Center as an on-site Director for the DoD High-Performance Computing Modernization Program (HPCMP) in the PETTT component of HPCMP where he helped develop large scale file transfer technology that is still used today, as well as encouraging the DoD to adopt open-source technology such as Python for scientific computing.In addition to his work at SSC Pacific, Dr. Unpingco has extensive industrial experience as a research engineer and technical director at Hughes Aircraft Co., Raytheon, Mission Research, and ATK, working on a wide range of systems -- underwater acoustics, adaptive antennas, radar detection, and imaging, and modern target tracking. Dr. Unpingco is the author of two internationally published books by Springer titled “Python for Signal Processing” and “Python for Probability, Statistics and Machine Learning.” In addition to his duties at West Health, Dr. Unpingco is an invited lecturer at UCSD, teaching undergraduate/graduate Data Science classes. He also sits on the industry advisory council for UCSD Extension's Data Science and Machine Learning program. Connect with Jose on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

director university california data san diego statistics senior director machine learning python data science sensitivity electrical dod springer tds probability ucsd la jolla defects raytheon atk signal processing computer engineering department ucsd extension data standard

SERENA (5) H2020 Project: Signal Processing

EUVATION: Spotlight on European Innovation

Play Episode Listen Later Nov 16, 2021 20:57 Transcription Available

SERENA partners are exploring the use of high frequencies for data delivery. Using gallium nitride on silicon as a means to develop high performance millimeter-wave active antenna systems, at a commercially viable price-point while remaining energy efficient is at the heart of SERENA. In this episode we speak with SERENA partners Giuseppe Caire and Thomas Kuehne from the Technische Universität Berlin. The SERENA project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 779305. See omnystudio.com/listener for privacy information.

project european union berlin horizon technische universit signal processing h2020 thomas kuehne

FloatingPoint DSP for You and Me: Why Today's Real World Designs Need FloatingPoint Digital Signal Processing