The Julia programming language could meet growing demands for quantitative methods in biology, says new MIT paper. Its speed, flexibility, thriving package ecosystem, and readability could enable new ways of analyzing biological data & systems: https://
go.nature.com/3zFy7V6
RESEARCH
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Julia Programming Language Advances Quantitative Biology Analysis
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Government AI Strategy Lacks Metrics Despite Strong Vision
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52% of you got it right. There is zero reference to metrics in the new strategy. Before you say that this means there is no need to read or act on this, keep in mind it really is a good document with an incredible vision and is the best the gov ever produced. Just not something
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GPT-4 mistakes span full distribution of human reasoning patterns
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A coworker on GPT-4's mistakes with detailed list of instructions: "it makes the same variety of mistakes that a team of 1,000 different humans would make". That is, it covers the full distribution of reasonable interpretations rather than picking one — a strength and a weakness!
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Design Thinking Methodology for Innovation and Problem Solving
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Design Thinking, Explained https://
mitsloan.mit.edu/ideas-made-to-
matter/design-thinking-explained
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
Google Microsoft AI Strategy Internal Thinking During Boom
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He wrote in the email, which was viewed by The New York Times, that it was an “absolutely fatal error in this moment to worry about things that can be fixed later." @nicoagrant and @KYWeise on the thinking inside Google and Microsoft amid the AI boom:
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LLM Agents Self-Improvement Society at Prague AI Hackathon
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My colleagues (Jan Feyereisl @thefillm and Karel Hovorka @vynalezce
) and I are going to participate (compete?) at Prague AI Hackathon on April 21-22 We already have our topic: Society of LLM-driven agents that recursively self-improve It will be fun! Wish us luck! @GoodAIdev -
3D model generating plausible views from a single image
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This is a 3D-aware diffusion-based model for generating diverse and "plausible" novel views from a single input image, incorporating geometry priors (assumptions about the geometric properties of objects) to build the world from the image.
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New 3D diffusion models from a single image
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Hyperrealistic 3D scenes from a single image 👀
— AI Breakfast (@AiBreakfast) 7 avril 2023
New research from NVIDIA & Stanford: Generative Novel View Synthesis with 3D-Aware Diffusion Models
These videos are generated from a single photo ↓ pic.twitter.com/TI37A6EHfhHyperrealistic 3D scenes from a single image New research from NVIDIA & Stanford: Generative Novel View Synthesis with 3D-Aware Diffusion Models These videos are generated from a single photo ↓
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GPT-4 Framework for Automated Research Paper Writing
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Mar 28th
Given the popularity of this project, I thought I'd share the process – having GPT4 write a research paper. Introduced this framework.