Today we kick off our AI Trends 2024 series with a conversation with Naila Murray, director of AI research at Meta. In our conversation with Naila, we dig into the latest trends and developments in the realm of computer vision. We explore advancements in the areas of controllable generation, visual programming, 3D Gaussian splatting, and multimodal models, specifically vision plus LLMs. We discuss tools and open source projects, including Segment Anything–a tool for versatile zero-shot image segmentation using simple text prompts clicks, and bounding boxes; ControlNet–which adds conditional control to stable diffusion models; and DINOv2–a visual encoding model enabling object recognition, segmentation, and depth estimation, even in data-scarce scenarios. Finally, Naila shares her view on the most exciting opportunities in the field, as well as her predictions for upcoming years.
The complete show notes for this episode can be found at twimlai.com/go/665.
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A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Trends in Graph Machine Learning with Michael Bronstein - #446
Trends in Natural Language Processing with Sameer Singh - #445
Trends in Computer Vision with Pavan Turaga - #444
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
Natural Graph Networks with Taco Cohen - #440
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
ML Feature Store at Intuit with Srivathsan Canchi - #438
re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Scaling Video AI at RTL with Daan Odijk - #435
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Feature Stores for Accelerating AI Development - #432
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Common Sense as an Algorithmic Framework with Dileep George - #430
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
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