Artificial intelligence (AI) agents, particularly those based on large language models (LLMs) like the conversational ...
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When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs
Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Description: Experts argue LLMs won’t be the end-state: new architectures (multimodal, agentic, beyond transformers) will ...
Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to Blackwell’s native low-precision NVFP4 format further reduced the cost to just 5 ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Abstract: This paper presents Temporal-Context Planner with Transformer Reinforcement Learning (TCP-TRL), a novel robot intelligence capable of learning and performing complex bimanual lifecare tasks ...
Heretic is a tool that removes censorship (aka "safety alignment") from transformer-based language models without expensive post-training. It combines an advanced implementation of directional ...
Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...
Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...
Production-ready implementation of the Semantic Similarity Rating (SSR) methodology from Maier et al. (2024), "Human Purchase Intent via LLM-Generated Synthetic Consumers". This system enables ...
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