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[ML News] AI models that write code (Copilot, CodeWhisperer, Pangu-Coder, etc.)

#mlnews #ai #copilot OUTLINE: 0:00 – Intro 0:20 – Copilot Now Generally Available 3:20 – FOSS Org leaves GitHub 6:45 – Google’s Internal ML Code Completion 9:10 – AI Trains Itself to Code Better 14:30 – Amazon CodeWhisperer in Preview 15:15 – Pangu-Coder: A New Coding Model 17:10 – Useful Things References: Copilot Now Generally […]
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03:36:55

#78 – Prof. NOAM CHOMSKY (Special Edition)

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB In this special edition episode, we have a conversation with Prof. Noam Chomsky, the father of modern linguistics and the most important intellectual of the 20th century. With a career spanning the better part of a century, we took the chance to ask Prof. Chomsky his thoughts not only on the […]
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01:55:29

#75 – Emergence [Special Edition] with Dr. DANIELE GRATTAROLA

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Pod version: https://anchor.fm/machinelearningstreettalk/episodes/75—Emergence-Special-Edition-with-Dr–DANIELE-GRATTAROLA-e1hrb23 An emergent behaviour or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties […]
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01:24:49

#72 Prof. KEN STANLEY 2.0 – On Art and Subjectivity [UNPLUGGED]

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Pod version: https://anchor.fm/machinelearningstreettalk/episodes/72-Prof–KEN-STANLEY-2-0—On-Art-and-Subjectivity-UNPLUGGED-e1gelqt Prof. Ken Stanley argued in his book that our world has become saturated with objectives. The process of setting an objective, attempting to achieve it, and measuring progress along the way has become the primary route to achievement in our culture. He’s not saying that objectives are bad […]
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#71 – ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

Special discount link for Zak’s GNN course – https://bit.ly/3uqmYVq Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Pod: https://anchor.fm/machinelearningstreettalk/episodes/71—ZAK-JOST-Graph-Neural-Networks–Geometric-DL-UNPLUGGED-e1g8dvr Want to sponsor MLST!? Let us know on Linkedin / Twitter. [00:00:00] Preamble [00:03:12] Geometric deep learning [00:10:04] Message passing [00:20:42] Top down vs bottom up [00:24:59] All NN architectures are different forms of information diffusion processes (squashing and smoothing […]
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01:42:15

#68 DR. WALID SABA 2.0 – Natural Language Understanding [UNPLUGGED]

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud Pod version: https://anchor.fm/machinelearningstreettalk/episodes/68-DR–WALID-SABA-2-0—Natural-Language-Understanding-UNPLUGGED-e1fbsdp Dr. Walid Saba is an old-school polymath. He has a background in cognitive psychology, linguistics, philosophy, computer science and logic and he’s is now a Senior Scientist at Sorcero. Walid is perhaps the most outspoken critic of BERTOLOGY, which is to say trying to solve the problem of […]
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01:28:28

#65 Prof. PEDRO DOMINGOS [Unplugged]

Note: there are no politics discussed in this show and please do not interpret this show as any kind of a political statement from us. We have decided not to discuss politics on MLST anymore due to its divisive nature. Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud Pod: https://anchor.fm/machinelearningstreettalk/episodes/65-Prof–PEDRO-DOMINGOS-Unplugged-e1eu8pp [00:00:00] Intro [00:01:36] What we all need to understand […]
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10:41

MODEL SERVING IN PYTORCH | GEETA CHAUHAN

Deploying ML models in Production and scaling your ML services still continue to be big challenge. TorchServe, the model serving solution for PyTorch solves this problem and has now evolved into a multi-platform solution that can run on-prem or on any cloud with integrations for major OSS platforms like Kubernetes, MLflow, Kubeflow Pipelines, KServe. This […]
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40:38

SingularityNET: Modeling COVID-19 Using Simulated Agents with Intelligence and Culture – Dr. Deborah Duong

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Dr. Deborah Duong is Director or AI Development at Rejuve and Director of Network Analytics at Singularity Net. The focus of her research is Complex Adaptive Systems, on the boundary between AI and Computational Social Science. She wrote the world’s first Intelligent Agent Based […]
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08:23

Review of the AV Access 4ksw41-kvm 4-Port 4K KVM for Linux, Mac and Windows

In this video I review the AV Access 4ksw41-kvm 4-Pork 4K KVM for Linux, Mac and Windows. This 4-port KVM easily handles 4K video and allows me to screen cast from my Mac Air M1 at a full 4K resolution. I am able to easily share keyboard/video/mouse between my Mac, Windows and Linux workstations. You […]
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CoRL 2020, Spotlight Talk 389: Unsupervised Metric Relocalization Using Transform Consistency Loss

“**Unsupervised Metric Relocalization Using Transform Consistency Loss** Mike Kasper (University of Colorado)*; Fernando Nobre (Amazon); Christoffer Heckman (University of Colorado); Nima Keivan (Amazon) Publication: http://corlconf.github.io/paper_389/ **Abstract** Training networks to perform metric relocalization traditionally requires accurate image correspondences. In practice, these are obtained by restricting domain coverage, employing additional sensors, or capturing large multi-view datasets. We […]
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01:01:57

Jupyter and the Evolution of ML Tooling with Brian Granger – #544

Today we conclude our AWS re:Invent coverage joined by Brian Granger, a senior principal technologist at Amazon Web Services, and a co-creator of Project Jupyter. In our conversion with Brian, we discuss the inception and early vision of Project Jupyter, including how the explosion of machine learning and deep learning shifted the landscape for the […]
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25:40

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]
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re:Invent Roundup 2021 with Bratin Saha – #542

Today we’re joined by Bratin Saha, vice president and general manager at Amazon. In our conversation with Bratin, we discuss quite a few of the recent ML focused announcements coming out of last week’s re:Invent conference, including new products like Canvas and Studio Lab, as well as upgrades to existing services like Ground Truth Plus. […]
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01:01:02

SingularityNET: General Theory of General Intelligence: Developmental AGI Ethics(10/10)

https://arxiv.org/pdf/2103.15100 This episode embarks on some critical and difficult issues regarding the ethics of AGI systems — including how to architect AGI systems to remain ethical as they evolve and grow, the nature of ethical systems as they mature, and problems related to the embedding of growing AGI systems within current human socioeconomic systems. The […]
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16:33

SingularityNET: Ben Goertzel Reviews Weak Links by Peter Csermely – Book Reviews With Ben Goertzel

Ben Goertzel discusses Peter Csermely’s book, Weak Links: The Universal Key of Stability of Networks and Complex Systems in his latest book review. To order the book: https://www.amazon.com/Weak-Links-Universal-Stability-Collection/dp/3540311513 ‘The extracellular matrix as a key regulator of intracellular signalling networks’ Article: https://bpspubs.onlinelibrary.wiley.com/doi/pdf/10.1111/bph.14195 The Graph Of A Social Network: https://griffsgraphs.wordpress.com/2012/07/02/a-facebook-network/ ——– SingularityNET is a decentralized marketplace for […]
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08:54

Two Minute Papers: Artificial Superintelligence [Audio only] | Two Minute Papers #29

Humanity is getting closer and closer to creating human-level intelligence. The question nowadays is not if it will happen, but when it will be happen. Through recursive self-improvement, machine intelligence may quickly surpass the level of humans, creating an artificial superintelligent entity. The intelligence of such entity is so unfathomable, that we cannot even wrap […]
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03:00

Two Minute Papers: Brain-to-Brain Communication is Coming!

The paper “BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains” is available here: https://arxiv.org/abs/1809.08632 Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis […]
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35:52

SingularityNET: General Theory of General Intelligence: A Pragmatic Patternist Perspective. Introduction (1/10)

This is the first, introductory episode in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.” https://arxiv.org/pdf/2103.15100 For general background on Dr. Goertzel’s approach to AGI, see also the 2014 book The AGI Revolution: An Inside […]
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AI Discovers Sentiment By Writing Amazon Reviews

❤️ Support the show on Patreon: https://www.patreon.com/TwoMinutePapers ₿ Crypto and PayPal links are available below. Thank you very much for your generous support! › PayPal: https://www.paypal.me/TwoMinutePapers › Bitcoin: 1a5ttKiVQiDcr9j8JT2DoHGzLG7XTJccX › Ethereum: 0xbBD767C0e14be1886c6610bf3F592A91D866d380 › LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg 📝 The paper “Learning to Generate Reviews and Discovering Sentiment” is available here: https://openai.com/blog/unsupervised-sentiment-neuron/ https://arxiv.org/abs/1704.01444 🙏 We would like to […]
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T12 16 Panel: Causal ML in industry

Speakers: Greg Lewis, Senior Principal Researcher, Microsoft Research Redmond Ya Xu, Head of Data, LinkedIn Totte Harinen, Data Scientist, Toyota Research Institute Dawen Liang, Senior Research Scientist, Netflix Causal ML is widely used by data science teams in the tech world to give business decision makers data-driven answers. In this panel data science leaders at […]
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05:53

Neural Networks Demystified [Part 7: Overfitting, Testing, and Regularization]

We’ve built and trained our neural network, but before we celebrate, we must be sure that our model is representative of the real world. Supporting Code: https://github.com/stephencwelch/Neural-Networks-Demystified Nate Silver’s Book: http://www.amazon.com/Signal-Noise-Many-Predictions-Fail/dp/159420411X/ref=sr_1_1?ie=UTF8&qid=1421442340&sr=8-1&keywords=signal+and+the+noise Caltech Machine Learning Course: https://work.caltech.edu/telecourse.html And the lecture shown: http://youtu.be/Dc0sr0kdBVI?t=56m52s In this series, we will build and train a complete Artificial Neural Network in […]
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52:22

re:Invent Roundup 2020 with Swami Sivasubramanian – #437

Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machine learning front, including quite a few advancements to SageMaker. In this roundup conversation, we discuss the motivation for hosting the first-ever machine learning keynote […]
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07:33

NEW Boston Dynamics Robot | Stretch Warehouse Robot

Stretch is a new robot from Boston Dynamics that’s about to take the jobs of millions of Amazon Warehouse Employees. How this amazing new robot is going to accomplish this, I’ll explain in this video. The new revolutionary prototype robot Stretch is able to lift up boxes, drive them to other places and locate them […]