Google AI Open-Sourced MedGemma 27B and MedSigLIP for Scalable Multimodal Medical Reasoning
Source: MarkTechPost In a strategic move to advance open-source development in medical AI, Google DeepMind and Google Research...
AI shapes autonomous underwater “gliders”
Source: MIT News – Artificial intelligence Marine scientists have long marveled at how animals like fish and seals...
Hugging Face Releases SmolLM3: A 3B Long-Context, Multilingual Reasoning Model
Source: MarkTechPost Hugging Face just released SmolLM3, the latest version of its “Smol” language models, designed to deliver...
Study could lead to LLMs that are better at complex reasoning
Source: MIT News – Artificial intelligence For all their impressive capabilities, large language models (LLMs) often fall short...
SynPref-40M and Skywork-Reward-V2: Scalable Human-AI Alignment for State-of-the-Art Reward Models
Source: MarkTechPost Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement Learning...
What Is Context Engineering in AI? Techniques, Use Cases, and Why It Matters
Source: MarkTechPost Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating...
Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design
Source: MarkTechPost TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo antibody...
AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks
Source: MarkTechPost Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend to...
Robotic probe quickly measures key properties of new materials
Source: MIT News – Artificial intelligence Scientists are striving to discover new semiconductor materials that could boost the...
Can We Improve Llama 3’s Reasoning Through Post-Training Alone? ASTRO Shows +16% to +20% Benchmark Gains
Source: MarkTechPost Improving the reasoning capabilities of large language models (LLMs) without architectural changes is a core challenge...