This AI article introduces Webthinker: an in -depth research agent that allows large models of reasoning (LRM) for autonomous research and generation of reports
The LLM can now speak in real time with a minimum of latency: Chinese researchers release llama-omni2, a model of modular vocal language
Google publishes a 76 -page white paper on AI agents: a deep technical dive in the agency cloth, evaluation frames and real world architectures
Combine contrastive learning and modeling the masked language for pre-training of self-supervised speech
NVIDIA OPEN Sources Parkeet TDT 0.6b: Taking a new standard for ASR automatic voice recognition and transcribed an hour of audio in a second
A new study combines recurring neural networks (RNN) with the concept of annealing school to solve the problems of real world optimization
A coding guide to compare three AI diffusion models of stability (V1.5, V2-Base and SD3-Medium) Diffusion capacities side by side in Google Colab using Gradio
8 Open Source Complete Solutions and hosted to transparently convert any API to MCP servers ready for AI
RWKV-X combines sparse attention and recurrent memory to allow an effective decoding of 1m with linear complexity
Land of learning to strengthen beyond mathematics: NVIDIA AI and CMU researchers offer Némotron-Crossthink for multi-domain reasoning with verifiable reward modeling
Multimodal queries require a multimodal cloth: KAIST and DEPAUTO researchers. AI offer Universalrag – a new frame that takes place dynamically through the modalities and granulations for a precise and efficient recovery generation
Google Researchers Advance Diagnostic AI: Friend now corresponds or surpasses primary care physicians using multimodal reasoning with Gemini 2.0 Flash
How do neural networks learn movement? Interpretation of movement modeling using a relative change in position
A step -by -step tutorial on the connection of Claude Desktop to real -time web search and content extraction via Tavily AI and Smithery using the model context protocol (MCP)
IBM AI Sort Granite 4.0 Tiny Overview: A compact model in open language optimized for the long context and instructions for instructions
Surveillance on scale is not guaranteed: MIT researchers quantify the fragility of the supervision of the nested AI with a new frame based on Elo
LLM can now reason in parallel: UC Berkeley and UCSF researchers introduce an adaptive parallel reasoning to scale the inference effectively without exceeding context windows
LLMs can learn complex mathematics from a single example: researchers from Washington University, Microsoft and USC unlock the power of learning to strengthen with a verifiable reward
AI agents are there – the same goes for threats: unit 42 reveals the 10 main safety risks of AI agents
Build a Zapier AI cursor agent to read, search for and send Gmail messages using the model’s context protocol server (MCP)
Image assessment focused on the subject becomes simpler: Google researchers introduce Refvnli to note jointly the textual alignment and the coherence of subjects without costly API
Brenden Burgess 
