The Chai discovery team comes out chai-2: the AI model reached a 16% success rate in the design of Novo antibodies
Abrral: teaching of abstract LLMS reasoning via strengthening to stimulate robustness on GSM benchmarks
Kyutai releases TT of text in 2B parameter streaming with a latency of 220 ms and 2.5 million hours of training
Can we improve the reasoning of Llama 3 by post-training alone? Astro watch + 16% to + 20% reference gains
Anchors: an automatic learning framework to identify and measure the key reasoning steps in high -language models with precision
Build an AI agent based on biocyphs for the generation of biomedical knowledge graphics and the question
Together, AI comes out Deepswe: a completely open source RL coding agent based on QWEN3-32B and reaches 59% on Swebench
Reason-PRM: a reward model conscious of the trajectory improving the reasoning of the chain of thoughts in the LLM
Baidu researchers offer a research paradigm on AI: a multi-agent framework for the recovery of smarter information
Longwriter-Zero: a strengthening learning framework for the generation of ultra-long-term text without synthetic data
DSRL: an approach to learning the strengthening of the latent space to adapt dissemination policies in real robotics of the world
MDM-Prime: a framework of widespread masked diffusion models (MDMS) which allows tokens partially unmasked during sampling
Researchers at the University of Michigan offer G-ACT: an evolving automatic learning framework to guide the bias of the programming language in the LLM
A coding guide to create a functional data analysis workflow using Lilac to transform, filter and export structured information
The researchers UC San Diego introduced DEX1B: a set of data on the scale of billions for handling the hand dextering hand
Deeprare: the first agent diagnostic system powered by AI transforming clinical decision -making in the management of rare diseases
Create tools on personalized AI for your AI agents that combine automatic learning and statistical analysis
Tencent Open Sources Hunyuan-A13B: A MOE model of Active parameter 13B with double-mode reasoning and context 256K
Unbabel presents the tower +: a unified framework for high fidelity translation and monitoring of instructions in multilingual LLM
The MIT and the mass general Brigham launch a joint seed program to accelerate health innovations | News put
Inception Labs Present Mercury: a tongue model based on diffusion for the generation of ultra-fast code
MIT and bare researchers introduce MEM1: an economical frame in memory for long-horizon linguistic agents
Google Deepmind comes out alphagenenoma: an in -depth learning model which can predict more exhaustively the impact of variants or unique mutations in DNA
ETH and Stanford researchers introduce MIRIAD: a set of 5.8 m pairs to improve LLM accuracy in medical AI
The researchers of Bytedance introduce the seed coder: a code code focused on the model formed on 6 billions of tokens
Google Deepmind publishes Gemini Robotics on Disvise: local AI model for real -time robotic dexterity
The researchers of Bytedance introduce VGR: a new multimodal reasoning large language model (MLLM) with improved visual perception capacities
An implementation of coding to create, annotate and visualize complex biological knowledge graphics using Pybel
The researchers from Bytedance introduce proto-seasoning: improve LLM generalization via prototypes based on logic
Moonshot AI unveils Kimi-Researcher: an agent formed RL learning for reinforcement for complex reasoning and web research
Beginning with Microsoft’s Presidio: a step -by -step guide to detect and anonymous information personally identifiable Pii in the text
CMU researchers introduce Go-Browse: a framework based on graphics for the training of the scalable web agent
A coding guide to build an asynchronous Python SDK ready for production with rate limitation, memory cache and authentication
Sakana Ai presents teachers (RLT) learned to reinforcements: Effective dists reasoning in LLMs using learning to reinforce on small scale
The new executive of AI assesses where AI should automate vs increase jobs, explains Stanford’s study
Verina: LLM assessment on the generation of verifiable code from start to finish with formal evidence
Building personalized AI agents Loan for production for business workflows with surveillance, orchestration and scalability
The researchers from Texas A&M introduce a two-phase automatic learning method called “Shockcast” for a high-speed flow simulation with neural temporal re-MESHING
Google researchers publish Magenta in real time: an open weight model for the generation of real -time AI music
Deepseek Open Researchers A Personal Project called “Nano-VLLM”: Light VLLM implementation built from zero
IBM gateway: a model of model context protocol based on the model based on unified Fastapi for new generation tool channels
Mistral Ai Liberates Mistral Small 3.2: following improved instruction, reduced repetition and stronger function calling for the integration of AI
Build AI agents focused on events with UAGENTS and Google Gemini: a modular python implementation guide
Why the generalization in the rate of flow correspondence comes from the approximation, not from stochasticity
Meta AI researchers have introduced a self-regressive U-Net model of evolutionary bytes which surpasses transformers based on tokens through the modeling of the language modeling
Build a random number agent in accordance with A2A: a step -by -step guide to implement the low -level executor model with Python
Researchers have daring ideas for AI to MIT GENERATIVE IA Impact Consortium Consortium Kickoff Event | News put
Poe-World + Planner surpasses RL Ballines Reinforcement in Montezuma’s revenge with minimum demonstration data
Build an intelligent multi-tool AI agent interface using Streamlit for seamless real-time interaction
UC Berkeley presents Cybergym: a real cybersecurity assessment framework to assess AI agents on large -scale vulnerabilities through massive bases
This Google AI document introduces a causal frame to interpret the equity of sub-groups in automatic learning assessments
From Backend Automation to Frontend Collaboration: What’s New in AG-IT last update for the AI Agent-Muser-USE interaction
Minimax AI publishes Minimax-M1: a hybrid model of 456b parameter for RL tasks of long context and strengthening learning and strengthening
Revisual-R1: a model of large multimodal language (MLLMS) open source which reaches long, precise and thoughtful reasoning
Brenden Burgess 
