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AI Trends 2024: Computer Vision with Naila Murray - #665

AI Trends 2024: Computer Vision with Naila Murray - #665

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


AI Trends 2024: Computer Vision with Naila Murray - #665

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
52 minutes
Released:
Jan 2, 2024
Format:
Podcast episode

Description

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.
Released:
Jan 2, 2024
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.