INNOVATION

→ View original post on X — @alexandr_wang

Engineering Productivity Driven by Culture Not Team Size

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@alexandr_wang

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17 April 2023 21h06

awkward truth: engineering productivity is far more correlated with culture than team size there are startups w/ 10 engineers that ship more for their customers than big co engineering teams of 1000 (ex: Midjourney) you cannot throw people and/or money at building great things

DINOv2 Open-Source Release with Interactive Demo Available

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17 April 2023 21h01

Want to explore DINOv2 for yourself? Today we're releasing both the open-source code and an interactive demo. GitHub https://
bit.ly/40eMPxk
Demo https://
bit.ly/3KHBnVa

Meta Releases DINOv2: Self-Supervised Computer Vision Model

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17 April 2023 21h01

Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards.

More on this new work ➡️ https://t.co/h5exzLJsFt pic.twitter.com/2pdxdTyxC4
— AI at Meta (@AIatMeta) 17 avril 2023

Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards. More on this new work https://
bit.ly/3GQnIKf

DINOv2 Complements Computer Vision Work Beyond Segmentation

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17 April 2023 21h01

DINOv2 complements our other computer vision work, such as Segment Anything. While SAM is a promptable system focused on zero-shot generalization to diverse segmentation tasks, DINOv2 uses simple linear classifiers to achieve strong results across tasks beyond segmentation.

AI Models Map Forests Tree-by-Tree Across Continents

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17 April 2023 21h01

Models like this will be useful in a wide variety of applications. For example, we recently collaborated with @RestoreForward to use AI to map forests, tree-by-tree, across areas the size of continents. pic.twitter.com/T2we4cqTa4
— AI at Meta (@AIatMeta) 17 avril 2023

Models like this will be useful in a wide variety of applications. For example, we recently collaborated with @RestoreForward to use AI to map forests, tree-by-tree, across areas the size of continents.

→ View original post on X — @groqinc

Groq Celebrates Entanglement AI CEO for Quantum Computing Innovation

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@groqinc

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17 April 2023 20h40

Happy to see our customer @entanglement_ai CEO Jason Turner getting some well deserved attention for the space they are innovating in. #QuantumComputing #AI #machinelearning #inference #cybersecurity https://
reuters.com/article/quantu
m-software/waiting-for-quantum-computers-to-arrive-software-engineers-get-creative-idUSL1N36I0KA
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→ View original post on X — @maximelabonne

Graph Neural Networks: Essential Resource Guide

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@maximelabonne

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17 April 2023 20h18

If you're interested in graph neural networks, I highly recommend checking it out. I'm confident that you'll find it to be an invaluable resource as you explore this exciting and rapidly growing field. Buy it now at