Podcast
22 articles in this category
Today in AI: Kalshi's Agentic Bets, Microsoft's AI Play, and Infrastructure Surge
Ada and Sam unpack the latest in AI, from Kalshi's booming prediction markets and the rise of the 'agentic web' to Microsoft's ambitious AI lab strategy. They also dive into the infrastructure powering AI's growth and discuss crucial conversations around AI safety and transparency.
Today in AI: Kalshi Bets, Agentic Web, and Microsoft's AI Ambition
Ada and Sam dive into the surge of prediction markets on Kalshi, exploring bets on AI IPOs and geopolitics. They also discuss the emerging 'agentic web' with MCP Apps, and Mustafa Suleyman's strategy to make Microsoft a top-tier AI lab.
Today in AI: Zero-Days, Data Quality, and SpaceX's Big Week
Today, Ada and Sam break down how AI is learning to find software vulnerabilities, the crucial role of data quality, and the infrastructure for autonomous AI engineers. Plus, we dive into SpaceX's pivotal earnings and lockup, and Meta's first paid AI offering.
Today in AI: Finding Zero-Days, Data Quality's Multiplier Effect
Today, Ada and Sam dive into how AI is learning to find real software vulnerabilities, the crucial role of data quality as a compute multiplier, and why long-horizon AI agents need better verification. Plus, we explore the infrastructure for autonomous AI engineers and the ongoing debate around Big Tech's AI boom.
Today in AI: Jeff Dean's 'Compression' Vision, Azure's Surge
Ada and Sam break down Google's Jeff Dean calling AI a 'compression problem,' Azure's massive growth, and new insights into the AI IPO race. Plus, a look at Amazon's AI-fueled AWS surge and Sakana AI's product blitz.
Today in AI: Dark Web Bust, GPT's Smarter Savings, and New AI Partnerships
Today, Ada and Sam break down Operation Bayonet's groundbreaking infiltration of the Hansa darknet market. They also dive into OpenAI's GPT-5.6 with its performance boosts and cost cuts, plus major new partnerships from Together AI and data lakehouse innovations from Snowflake and Google Cloud.
Today in AI: Snowflake's Adaptive Boost, AI Search Evolution, and New GPT Transcriptions
Today, Ada and Sam dive into Snowflake's significant price-performance improvements with Adaptive Compute, the evolving landscape of AI search for brands, and the launch of new, highly accurate GPT transcription models. They also cover enterprise AI's rally, chip stock jitters, and rapid app development stories.
Today in AI: SpaceX Lock-Up Looms, Enterprise AI Soars, Anthropic Clarifies
On today's episode, Ada and Sam break down the impending SpaceX lock-up expiration and its potential market impact. They'll also discuss the contrasting fortunes of enterprise AI software and chip stocks, Anthropic's nuanced stance on open AI, and the EU's looming product traceability deadline.
Today in AI: Nuclear Power, IPO Race, and AI Oversight Debates
Today, Ada and Sam dive into Asia's nuclear power renaissance driven by AI demand, the intensifying IPO race between OpenAI and Anthropic, and the philosophical divide between Dario Amodei and Sam Altman on AI safety oversight. Plus, a new perspective on AI search.
Today in AI: ServiceNow Soars, Chips Dip, and Agents Rise
Today, we unpack ServiceNow's surprising Q2 beat amidst a broader chip market downturn. We'll also dive into the rise of AI agents transforming industries, the IPO race between OpenAI and Anthropic, and a look at Sam Altman's formidable portfolio.
Today in AI: ServiceNow Surges, Chips Tumble, and AI Agents Take Over
Today, we're diving into ServiceNow's unexpected Q2 beat and the broader chip market sell-off, with Intel and ARM taking a hit. We'll also explore how AI agents are transforming everything from Uber Eats photos to enterprise planning, and the latest on OpenAI and Anthropic's IPO prospects.
Today in AI: AMD's Rack-Scale Ambition and Market Jitters
Today, we dive into AMD's ambitious new rack-scale AI solution, Helios, and its partnership with Cerebras. We also unpack why geopolitical tensions and AI spending concerns are rattling the markets, and explore Databricks' innovative approach to infrastructure provisioning.
Synthetic Data: Simulation & Visual Effects at Scale
Synthetic Data: Simulation & Visual Effects at Scale
SLAM and the Evolution of Spatial AI with Andrew J. Davison
The Next Frontier: Computer Vision on 3D data - with Or Litany, Sr. Research Scientist, Nvidia
Gil Elbaz hosts Or Litany, a senior research scientist at Nvidia. They discuss the impact of 3D on computer vision and where it’s going in the near future. As well, they talk about the impact of industry on academia and vice versa. Or speaks about the future of 3D generative models, NeRF and how multi-modal models are changing computer vision. Together, Gil and Or explore the best ways to succeed in the field of AI. TOPICS & TIMESTAMPS [0:34] Intro [2:01] Starting his journey [5:03] Heat transfer equation in graphics [10:21] Multimodal changing Computer Vision [17:47] Why is 3D Important? [23:17] 3D Generative Models in the next years [26:25] Neural Rendering [29:39] Connection between images/video & 3D [31:39] Temporal Data [33:45] Autonomous Driving & Simulation [36:27] Prof Leonidas Guibas [41:56] NeRF & Editing 3D information [46:02] Manipulation of 3D representations [52:23] Future of NeRF [1:02:31] Google [1:06:03] Meta [FAIR] experience [1:09:57] Nvidia [1:10:58] Sanya Fidler [1:16:38] Consciousness [1:21:31] Career Tips for Computer Vision Engineers Or Litany: LinkedIn Google Scholar Github Interesting links: Alex Bronstein Angel Chang Sanja Fidler Leonidas Guibas Judy Hoffman Justin Johnson Fei-Fei Li Ameesh Makadia Manolis Saava Srinath Sridhar Charles Ruizhongtai Qi PointNet Red-Black Tree Nvidia Two minute papers The Three Body Problem EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks GUEST BIO Our guest is Or Litany. Or Litany currently works as a senior research scientist at Nvidia. He earned his BSC in physics and mathematics from Hebrew University and his master's degree from the Technion. After that, he went on to do his PhD at Tel Aviv University, where he worked on analyzing 3D data with graph neural networks under professor Alex Bronstein. For his postdoc, Or attended Stanford University studying under the legendary professor Leonidas Guibas, as well as working as part of FAIR, the research group of Meta, where he pushed the cutting edge of 3D data analysis. Or is an extremely accomplished researcher with research that focuses on 3D deep learning for scene understanding, point cloud analysis and shape analysis. In 2023, Or will be joining the Technion as an assistant professor. ABOUT THE HOST I’m Gil Elbaz, Co-founder and CTO of Datagen. In this podcast, I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain
Body Models: Driving the Age of the Avatar
Solving Autonomous Driving at Scale - with Vijay Badrinarayanan, VP of AI, Wayve
Saving Lives with Deep Learning & Robust Infrastructure, with Idan Bassuk, VP A.I., Aidoc
Saving Lives with Deep Learning & Robust Infrastructure, with Idan Bassuk, VP A.I., Aidoc
The Pace of Progress in Academia and Industry, with Lihi Zelnik-Manor
