Podcasts about biggan

On this episode of Marketing Art and Science, Host and CMO Advisor Lisa Martin of The Futurum Group is joined by Boomi CMO Alison Biggan. Tune into this 30 min conversation to hear about Biggan's journey to the C-suite, the strategic roles marketing art and data science play in Boomi's global leadership in iPaaS, and the infusion of AI and automation in Boomi marketing. Their discussion covers: The role of marketing in Boomi's corporate strategy, which is focused on helping customers manage app sprawl, digital transformation initiatives, and solve integration challenges How the Boomi MarTech stack connects people with technology, such as AI-powered chat tool Drift enabling Boomi's sales development team to give customers a near real-time experience Alison's marketing breadth and depth as a operationally-focused leader

Daniel Gooda hosts Tanner Biggan, an established videographer and photographer from Vancouver Island. They speak on their experiences filming Weddings, the new M3 Macbook Pro, the pressures of running a business while being a creator, and more. Support the Show.

Hej och varmt välkommen till 1 år med Balans i livet podden, jag är så glad och tacksam för att du är här, tjoho nu får vi fira

Välkommen till dagens avsnitt där jag samtalar med min kund Biggan, som när hon mötte mig första gången mådde dåligt, var stressad på jobbet och hade ingen balans mellan jobb och fritid. Hennes resa med mig började med att hon var med på min 10 veckors onlinekurs och därefter var med på en 1-dags Mini Retreat i Stockholm. Hon kom dit och var trött och gick därifrån uppiggad och fylld av energi. Hon gick därefter min 9 månader långa utbildning, "Möt dig själv och led dig själv" i personlig utveckling och självledarskap. Då skedde den stora transformationen att gå från stress, press och fullt upp med aktiviteter, till att inse att det är inte det jag behöver för att mår bra av och njuta av livet. Utan istället behöver jag stilla mig och lyssna inåt och hitta vad jag verkligen vill i livet. Efter den långa utbildningen var det naturligt att fortsätta in i mitt Medlemskap online, där vi ses för reflektion, uppföljning och påfyllnad. I dagens intervju berättar Biggan om allt hon lärt och om vad som faktiskt är annorlunda i livet idag och att hon nu hittat vad hon verkligen längtar efter framöver. Så häng med och inspireras. Varmt välkommen! Är du nyfiken på det Biggan fått lära sig i mina kurser? Vill du också prova på? Varmt välkommen till min live workshop online på zoom och kickstarta 2024 med mig!Här guidar jag dig i olika övningar där du får du meditera och lyssna in till dig själv, tillsammans med mig. En stund att landa, lyssna inåt, bara vara och fylla på med energi. En perfekt kickstart inför det nya året. Det finns två datum att välja på, den 3/1 eller 4/1 januari kl 18.00-19.30 och det är helt gratis för dig som lyssnar på podden. Anmäl dig på länken här: https://www.ingridthorngren.se/liveworkshopVarmt välkommen!

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Janelle Shane (@JanelleCShane) shared truly weird responses from AIs. Her website is AIWeirdness.com where you can find machine-learning-generated ideas for paint colors, ice cream, and cocktails (and many other things). We never said they were good ideas. Janelle's FAQ will help you get started trying out RNNs yourself. We recommend the Embedded show titles. We talked about BigGAN which generates pictures based on input images. Wikipedia list of animals by number of neurons Janelle's book is You Look Like a Thing and I Love You. Sign up for her newsletter to get the PG-13 versions of her hilarious AI outputs.

We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models. We achieve this on unconditional image synthesis by finding a better architecture through a series of ablations. For conditional image synthesis, we further improve sample quality with classifier guidance: a simple, compute-efficient method for trading off diversity for sample quality using gradients from a classifier. We match BigGAN-deep even with as few as 25 forward passes per sample, all while maintaining better coverage of the distribution. Finally, we find that classifier guidance combines well with upsampling diffusion models. We release our code at https://github.com/ openai/guided-diffusion. 2021: Prafulla Dhariwal, Alex Nichol Ranked #1 on Image Generation on ImageNet 64x64 (FID metric) https://arxiv.org/pdf/2105.05233v4.pdf

#artificialintelligence #musicvideo #clip I used OpenAI's CLIP model and BigGAN to create a music video that goes along with the lyrics of a song that I wrote. The song lyrics are made from ImageNet class labels, and the song itself is performed by me on a looper. OUTLINE: 0:00 - Intro 1:00 - AI-generated music video for "be my weasel" 3:50 - How it was made 7:30 - My looping gear 9:35 - AI-generated music video #2 12:45 - Outro & Credits Code and references: https://github.com/yk/clip_music_video Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... Minds: https://www.minds.com/ykilcher Parler: https://parler.com/profile/YannicKilcher LinkedIn: https://www.linkedin.com/in/yannic-ki... BiliBili: https://space.bilibili.com/1824646584 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

#ddpm #diffusionmodels #openai GANs have dominated the image generation space for the majority of the last decade. This paper shows for the first time, how a non-GAN model, a DDPM, can be improved to overtake GANs at standard evaluation metrics for image generation. The produced samples look amazing and other than GANs, the new model has a formal probabilistic foundation. Is there a future for GANs or are Diffusion Models going to overtake them for good? OUTLINE: 0:00 - Intro & Overview 4:10 - Denoising Diffusion Probabilistic Models 11:30 - Formal derivation of the training loss 23:00 - Training in practice 27:55 - Learning the covariance 31:25 - Improving the noise schedule 33:35 - Reducing the loss gradient noise 40:35 - Classifier guidance 52:50 - Experimental Results Paper (this): https://arxiv.org/abs/2105.05233 Paper (previous): https://arxiv.org/abs/2102.09672 Code: https://github.com/openai/guided-diff... Abstract: We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models. We achieve this on unconditional image synthesis by finding a better architecture through a series of ablations. For conditional image synthesis, we further improve sample quality with classifier guidance: a simple, compute-efficient method for trading off diversity for sample quality using gradients from a classifier. We achieve an FID of 2.97 on ImageNet 128×128, 4.59 on ImageNet 256×256, and 7.72 on ImageNet 512×512, and we match BigGAN-deep even with as few as 25 forward passes per sample, all while maintaining better coverage of the distribution. Finally, we find that classifier guidance combines well with upsampling diffusion models, further improving FID to 3.85 on ImageNet 512×512. We release our code at this https URL Authors: Alex Nichol, Prafulla Dhariwal Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... Minds: https://www.minds.com/ykilcher Parler: https://parler.com/profile/YannicKilcher LinkedIn: https://www.linkedin.com/in/yannic-ki... BiliBili: https://space.bilibili.com/1824646584 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Our old friend Dr. John Biggan stops by the RTW studios for a chat with Steve and I.  John is running for a seat on the Hurst City Council and we discuss his motivations for running, what he thinks the city of Hurst needs to do to improve the lives of its citizens, and we talk about some of the issues facings folks in the mid-cities area of Dallas - Fort Worth.  Please give the episode a listen!   Thanks very much.

Our old friend Dr. John Biggan stops by the RTW studios for a chat with Steve and I.  John is running for a seat on the Hurst City Council and we discuss his motivations for running, what he thinks the city of Hurst needs to do to improve the lives of its citizens, and we talk about some of the issues facings folks in the mid-cities area of Dallas - Fort Worth.  Please give the episode a listen!   Thanks very much.

Welcome to episode 21 of Riding The Wave!  Steve and I interview Dr. John Biggan, friend of the show and cognitive neuro-scientist.  We discuss the state of the country with Covid and the inexplicable disregard for scientific expertise that seems to be mounting.   Steve and I discuss the recent Supreme Court Decisions as well.  So, please give us a listen!  Thanks and we hope you enjoy the show.

Welcome to episode 21 of Riding The Wave!  Steve and I interview Dr. John Biggan, friend of the show and cognitive neuro-scientist.  We discuss the state of the country with Covid and the inexplicable disregard for scientific expertise that seems to be mounting.   Steve and I discuss the recent Supreme Court Decisions as well.  So, please give us a listen!  Thanks and we hope you enjoy the show.

We All about the Biggans

Dr John Biggan on working to be the first neuroscientist in Congress. You can find out more about Dr John Biggan at @Biggan4Congress and his campaign for Congress at BigganForCongress.com The Hardy Report is a political, news and current affairs podcast bringing you interviews with a range of activists, campaigners and politicians from across the political spectrum in the United States and the United Kingdom. --- Support this podcast: https://anchor.fm/thehardyreport/support

I veckans avsnitt blir det två kära återseenden. Biggan och Jenno på djursholm ska köpa julklappar. Sen åker vi till Österlen för att träffa Margareta och Eva-Lena som planerar nyår.

I första avsnittet av Hallå? möter vi timvikarierna Viktor och Sofia. Sen reser vi till ståtliga Saltsjöbaden där Janno och Biggan är på väg till systembolaget. Skicka in dina förslag på vad du vill höra till @johannanordstrm och @edvintornblom

On this short, sweet, easy, breezy summer vacation episode, Justin shares some brilliant chair designs made collaboratively by two human…

Congressional candidate John Biggan stopped by the studio to talk about the upcoming 2020 election. We discussed John's background, which is vast and varied (hint: he's a really talented guy), how he got into politics, and why we wants to go to Washington D.C. and represent the good citizens of Congressional District 24, right here in the heart of the DFW Metroplex.   I hope you enjoy the show.

Congressional candidate John Biggan stopped by the studio to talk about the upcoming 2020 election. We discussed John's background, which is vast and varied (hint: he's a really talented guy), how he got into politics, and why we wants to go to Washington D.C. and represent the good citizens of Congressional District 24, right here in the heart of the DFW Metroplex.   I hope you enjoy the show.

Title: Reflecting on Huginn and Muninn Description: Andy and Dave discuss “activation atlases,” recent work from OpenAI and Google that offers a new technique for visualizing interactions between the neurons in an image classifying deep neural network. The UCLA Center for Vision, Cognition, Learning, and Autonomy together with the International Center for AI and Robot Autonomy publish work on RAVEN – a dataset for Relational and Analogical Visual rEasoNing, which uses John Raven’s Progressive Matrices for testing joint spatial-temporal reasoning; in combination with a dynamic residual tree method, they see improvement over other methods, but still short of human performance. Research from the University of New South Wales uses machine learning to predict which of two patterns a subject will choose, before the subject is aware which one they have chosen. And Google Brain publishes research that demonstrates BigGAN, capable of generating high-fidelity images with much fewer (10-20%) labeled data. In announcements, DARPA holds its AI Colloquium on 6-7 March; the US Army is investing $72M into CMU for AI research; OpenAI launches OpenAI LP, a new company for funding safe artificial *general* intelligence; and the IEEE is set to release on 29 March the first edition of its Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. In reports of the week, the Allen Institute for AI examines the quality of AI papers and predicts that China will soon overtake the US in quality AI research; MMC publishes an examination of the State of AI in Europe; a paper looks at predicting research trends in the publications on Arxiv; and another paper surveys deep learning advances on different 3D data representations. Dive into Deep Learning is the book of the week, available online. The University of Vermont uses an AI and Project Gutenberg stories to identify six main arcs of storytelling. Dear Machine, by Greg Kieser, is the AI sci-fi story of the week. John Sunda Hsia’s website compiles the “ultimate guide” to all of the upcoming AI and ML conferences. And the Allen Institute releases a “dumbed down” version of OpenAI’s GPT-2, with some resulting humorous reflections.

Janelle Shane (@JanelleCShane) shared truly weird responses from AIs. Her website is AIWeirdness.com where you can find machine-learning-generated ideas for paint colors, ice cream, and cocktails (and many other things). We never said they were good ideas. Janelle’s FAQ will help you get started trying out RNNs yourself. We recommend the Embedded show titles. We talked about BigGAN which generates pictures based on input images. Wikipedia list of animals by number of neurons Janelle’s upcoming book is You Look Like a Thing and I Love You. Sign up for her newsletter to be the first to order it (as well as getting the PG-13 versions of her hilarious AI outputs).

This week, Allison talks about the nightmarish Frankensteinian creations you can make with Ganbreeder. Then, Justin hosts a brand new…

Our ninth episode features Biggan Ryd Dups, a friend of mine who also happens to be an amazing hand knit designer and creator of an incredible line of colorful yarns that are a dream to knit with!

Our ninth episode features Biggan Ryd Dups, a friend of mine who also happens to be an amazing hand knit designer and creator of an incredible line of colorful yarns that are a dream to knit with!