AI framework rooted in cognitive science could complete tasks more efficiently

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In recent years, computer scientists have developed a wide range of artificial intelligence (AI) models that can rapidly recognize patterns in data, generate content and solve other computational problems. Many of these AI systems are based on deep neural networks (DNNs), brain-inspired computational models that can make predictions based on specific data, or LLMs, models …

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Scaling Categorical Flow Maps

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Continuous diffusion and flow matching models could represent a powerful alternative to autoregressive approaches for language modelling (LM), as they unlock a host of advantages currently reserved for continuous modalities, including accelerated sampling and tilting. Recently, several works have demonstrated the possibility of generating discrete data continuously by a simple flow matching process between a …

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How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…

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How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC execution API Authors: Nilesh Mishra and Ajit Koti This is the third entry of a multi-part blog series describing how we built a Real-Time Distributed Graph (RDG). In Part 1, we discussed the motivation for creating the RDG and the architecture …

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How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

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Prior authorization is the approval process health plans require before covering certain medical services or medications. It remains one of the most manual processes in healthcare, not because the medical reasoning for requiring approval is flawed, but because the policies that govern it are trapped in static, unstructured formats that resist automation. This content is …

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AI agents automate atom-by-atom simulations to accelerate discovery of new materials

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A team from the U.S. Department of Energy’s (DOE) Argonne National Laboratory has successfully demonstrated an artificial intelligence (AI)-driven system to automate a powerful simulation method that predicts how atoms in materials interact. Known as atomistic simulations, this method can potentially accelerate the discovery of materials for areas such as batteries, aerospace and electronics. The …

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AMA: MiniMax H3 Team — Ask us anything about our open video generation model, training, and future plans

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https://preview.redd.it/kihat320ashh1.png?width=1672&format=png&auto=webp&s=a7ccc40ba3fb229ac7ebf57e8e6a314e0ee45646 Hi r/StableDiffusion! u/New-Requirement1419 -> dacongya (Head of H3 Researcher) u/Affectionate-War8374 -> Luigi (H3 Researcher) u/MM_Nero_H3 -> Nero (H3 Researcher) u/Kiro_Song -> Kiro (H3 Researcher) u/New_Estimate9277 -> Reynor (H3 system engineer) u/ryan85127704 – > Ryanlee (Head of Devrel) We are the MiniMax team behind MiniMax-H3. We’re here to answer your questions, including: Model architecture and …

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Locking Pretrained Weights via Deep Low-Rank Residual Distillation

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The quality of open-weight language models has dramatically improved in recent years. Sharing weights greatly facilitates model adoption by enabling their use across diverse hardware and software platforms. They also allow for more open research and testing, to the extent that users can use them as checkpoints, fine-tune them according to their needs, and potentially …

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