Results for "machine-learning"
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31 results
Episodes
StandardSummaries onlyDavid Rolnick on how machine learning can help tackle climate change
The Robot Brains Podcast· Jan 19, 2022
While the world’s temperature rises, there are scores of scientists working around the globe to study causes and solutions. One scientist in particular, David Rolnick, has stood out as a pioneer of machine-learning in th…
machine-learning- StandardSummaries only
Tanay Tandon of Athelas on the future of blood diagnostics using machine-learning
The Robot Brains Podcast· Feb 2, 2022
Analyzing a person’s blood (and the cells within it) is often used to diagnose many health conditions and illnesses, from infections to leukemia and bone marrow disorders. Generally it's a long and expensive process. You…
machine-learning 
StandardSummaries onlyHow B2B Marketers Use Predictive Lead Scoring for Enterprise Sales
B2B Marketing with Fexingo: Enterprise Demand Gen, ABM, and Long Sales Cycles· Lucas· Jul 1, 2026
In this episode of B2B Marketing with Fexingo, Lucas and Luna dive into predictive lead scoring and its impact on enterprise sales cycles. Using a case study from a mid-market SaaS company called CloudBridge Analytics, t…
machine-learning
Intelligent ReportBill Maris: How Google Could Crush AI Competitors, Why Small Funds Win, and AI's Atari Stage
All-In with Chamath, Jason, Sacks & Friedberg· Bill Maris· Jun 9, 2026
Google Ventures founder Bill Maris returns with a new fund, sharing four hard-won lessons on why small funds beat large ones, the math behind venture returns, and where AI is truly headed.
openaimachine-learningagents
StandardSummaries onlyArtificial Intelligence: A Modern Approach (Prentice Hall Series in Artificial Intelligence)
CyberSecurity Summary· Artificial Intelligence· Jun 9, 2026
Define artificial intelligence through the unifying theme of intelligent agents, which are systems designed to perceive their environments and take actions that maximize their chances of success. By exploring the field’s…
machine-learning- StandardSummaries only
Introduction to Graph Neural Networks (Synthesis Lectures on Artificial Intelligence and Machine Learning)
CyberSecurity Summary· Jun 1, 2026
A comprehensive introduction to Graph Neural Networks (GNNs), a specialized class of deep learning models designed for non-Euclidean data structures. While traditional models like CNNs and RNNs excel at processing grids …
machine-learningdeep-learning - StandardSummaries only
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
CyberSecurity Summary· May 30, 2026
A comprehensive guide for building intelligent systems using popular Python frameworks like Scikit-Learn and TensorFlow. The author distinguishes between supervised, unsupervised, and reinforcement learning, while also d…
machine-learningdeep-learningtensorflow - StandardSummaries only
Java Deep Learning Essentials
CyberSecurity Summary· May 19, 2026
A comprehensive introduction to building artificial intelligence using the Java programming language. The text traces the historical progression of AI through three major phases, highlighting how machine learning evolved…
machine-learningdeep-learning - StandardSummaries only
Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence
CyberSecurity Summary· Artificial Intelligence· May 18, 2026
Explores how artificial intelligence is used to identify and analyze complex data points. A significant portion of the material focuses on cross-project defect prediction, a method in software engineering that utilizes e…
machine-learning - StandardSummaries only
Data Science and Security: Proceedings of IDSCS 2021
CyberSecurity Summary· May 15, 2026
A scholarly volume published within the Lecture Notes in Networks and Systems series. The primary focus of the text is the intersection of data science and computational security, highlighting how these fields drive soci…
machine-learningdeep-learning - StandardSummaries only
Cyber Security Intelligence and Analytics (Advances in Intelligent Systems and Computing, 928)
CyberSecurity Summary· May 1, 2026
Focuses on integrating big data analytics, machine learning, and intelligent systems to enhance threat detection and combat cybercrime. Key topics include digital forensics, incident response, and the application of comp…
machine-learning 
StandardSummaries onlyLung Cancer and Imaging
Medicine Made Simple· Apr 13, 2026
Focuses on the development of automated, non-invasive diagnostic tools for the early detection and classification of pulmonary nodules. Edited by Ayman El-Baz and Jasjit S. Suri, the work explores cutting-edge machine le…
machine-learninghealth
StandardSummaries onlyDiscussing PsA: Risankizumab efficacy across machine learning defined and complex PsA phenotypes
The IMID Forum· Feb 13, 2026
Join Professor Laura Coates and Phillip Mease as they discuss the top publications in the world of PsA. This month, the conversation covered the ‘classification of patients into distinct PsA phenotypes based on baseline …
machine-learning
Intelligent Report#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
Lex Fridman Podcast· Feb 1, 2026
Sebastian Raschka and Nathan Lambert break down the AI landscape with Lex Friedman, covering open-weight models, Chinese lab competition, coding tools, and why transformer architectures haven't fundamentally changed desp…
llmmachine-learningsafety-alignmentsociety
StandardSummaries only20VC: Andrew NG on The Biggest Bottlenecks in AI | How LLMs Can Be Used as a Geopolitical Weapon | Do Margins Matter in a World of AI? | Is Defensibility Dead in a World of AI? | Will AI Deliver Masa Son's Predictions of 5% GDP Growth?
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch· Nov 17, 2025
Dr. Andrew Ng is a globally recognized leader in AI. He is Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, Chairman and Co-Founder of Coursera. As a pioneer in machine learning An…
machine-learninginvesting
StandardSummaries onlyPodcast EP316: An Introduction to Hardware Security Modules (HSMs) and Marvell’s Unique LiquidSecurity Offering with Bill Hagerstrand
SemiWiki.com· Bill Hagerstrand· Nov 5, 2025
Daniel is joined by Bill Hagerstrand, director of Security Business at Marvell Technology where he manages the market-leading Marvell LiquidSecurity® HSM business. Bill has more than 20 years of experience in the semicon…
machine-learning
StandardSummaries onlyCase Study: Contrasting U.S. and EU Approaches to AI Regulation
Let's Talk Risk! Podcast· Case Study· Aug 25, 2025
In this audio brief, we unpack the rapidly evolving AI regulatory landscape in the U.S. and EU. While the U.S. emphasizes rapid innovation with lighter-touch oversight, the EU is implementing a strict, risk-based framewo…
machine-learningai-regulation
StandardSummaries onlyAI-Hybrid Automation with a Deployed Mobile Manipulation Robot | Diligent Robots' Vivian Chu
The Robot Industry Podcast· Aug 24, 2025
Hello Robot Friends. Welcome to edition #146 of The Robot Industry Podcast. My guest today is Vivian Chu. Vivian Chu is a roboticist with over a decade of experience in human-robot interaction. She created Moxi and Poli,…
machine-learning
StandardSummaries onlyThe Road Ahead for Robotics: Insights from Motional's Major and Foundation's Pathak
The Robot Report Podcast· Jun 20, 2025
Our guests on this episode are Laura Major, CEO of Motional, and Sankaet Pathek, founder and CEO of Foundation. Cohost Mike Oitzman interviews Laura Major, CEO of Motional, about its advancements in autonomous vehicle (A…
machine-learning
StandardSummaries onlyWaymo's Foundation Model for Autonomous Driving with Drago Anguelov
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)· Drago Anguelov· Mar 31, 2025
Today, we're joined by Drago Anguelov, head of AI foundations at Waymo, for a deep dive into the role of foundation models in autonomous driving. Drago shares how Waymo is leveraging large-scale machine learning, includi…
machine-learningmultimodalfoundation-modelsgenerative-ai
StandardSummaries only#676 – Moving House (And Lab)
The Amp Hour Electronics Podcast· Moving House (And Lab)· Sep 3, 2024
Chris has been moving house, which partially explains the terrible audio problems the past few episodes… For a lab, Chris believes in Lots of wire shelving (with epoxy coating) Everything on wheels (including shelving an…
machine-learning
StandardSummaries onlyBias in Healthcare AI. With Dr Xiao Liu- Senior Clinician Scientist in AI & Digital Health, University Hospitals Birmingham NHS Foundation Trust
Digital Health Podcast- Royal Society of Medicine· Apr 8, 2024
This episode features a conversation about bias in healthcare AI models with Dr Xiao Liu- Senior Clinician Scientist in AI & Digital Health, University Hospitals Birmingham NHS Foundation Trust. Discussion topics include…
machine-learning- StandardSummaries only
What's holding back AI in healthcare? With Dr Chris Kelly- Clinical Research Scientist at Google
Digital Health Podcast- Royal Society of Medicine· Feb 11, 2024
In this episode Dr Chris Kelly- Clinical Research Scientist at Google discusses key barriers to the widespread adoption of AI in healthcare. In 2019 Chris wrote an article titled ‘Key challenges for delivering clinical i…
machine-learning - StandardSummaries only
AI, AlphaFold & drug discovery. With Max Jaderberg, Director of Machine Learning at Isomorphic Labs- A Google DeepMind sister company
Digital Health Podcast- Royal Society of Medicine· Nov 6, 2023
Max Jaderberg, Director of Machine learning at Isomorphic labs, shares the Isomorphic approach to drug discovery in one of their first interviews as they emerge from shadow mode. In 2020 Google DeepMind made history when…
google-aimachine-learning 
StandardSummaries onlyNvidia Part III: The Dawn of the AI Era (2022-2023)
Acquired· Ben Gilbert· Sep 6, 2023
It’s a(nother) new era for Nvidia.We thought we’d closed the Acquired book on Nvidia back in April 2022. The story was all wrapped up: Jensen & crew had set out on an amazing journey to accelerate the world’s computing w…
machine-learninginvesting
StandardSummaries onlyGetting Out of the Weeds with John Deere's Revolutionary AI Technology
Moore's Lobby: Where engineers talk all about circuits· Jun 13, 2023
Imagine 1500 laptops strapped to a 120 foot (36 m) wide sprayer being pulled behind a tractor. That gives you a rough understanding of the compute power inside the John Deere See & SprayTM that targets herbicide to the w…
machine-learning- StandardSummaries only
Clement Delangue of Hugging Face on building the GitHub of machine learning
The Robot Brains Podcast· May 25, 2022
Originally created to be an open domain conversational AI, your own ‘artificial BFF' that you could chat with when your real friends weren’t available — fast forward six years, and Hugging Face is the leading Natural Lan…
machine-learning - StandardSummaries only
Spotify's Gustav Söderström on machine learning to personalize user experiences
The Robot Brains Podcast· May 12, 2022
Music is universal. It transcends language. Melodies have the power to trigger strong emotions. In fact, our brains release dopamine - the “feel good” hormone - when we listen to music. Today’s guest, Spotify’s Chief R&D…
machine-learning - StandardSummaries only
Nvidia Part II: The Machine Learning Company (2006-2022)
Acquired· Ben Gilbert· Apr 20, 2022
By 2012, NVIDIA was on a decade-long road to nowhere. Or so most rational observers of the company thought. CEO Jensen Huang was plowing all the cash from the company’s gaming business into building a highly speculative …
machine-learninginvesting - StandardSummaries only
Cathy Wu of MIT on the future of our highways and roads
The Robot Brains Podcast· Feb 9, 2022
Previous guests on our podcasts - from Tesla, Aurora, Waymo - are building the brains of the cars and trucks of our future. This episode's guest, Professor Cathy Wu, is building the roadways of our future. She is buildin…
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Sergey Levine explains the challenges of real world robotics
The Robot Brains Podcast· Jan 5, 2022
In Episode One of Season Two, Host Pieter Abbeel is joined by guest (and close collaborator) Sergey Levine, professor at UC Berkeley, EECS. Sergey discusses the early years of his career, how Andrew Ng influenced him to …
machine-learning