agents can now search for tools at runtime
a new open specification lets ai agents discover tools, skills, and other agents dynamically instead of needing them pre-installed.
topic
a new open specification lets ai agents discover tools, skills, and other agents dynamically instead of needing them pre-installed.
molmomotion predicts future 3d object motion from video, points, and text instructions, outperforming existing methods and aiding robotics and video generation.
deepl acquires mixhalo to add real-time audio streaming and translation for live events, expanding its voice ai tools.
canada pension plan investment board commits up to ₹70 billion to ctrls for ai and cloud infrastructure expansion in india.
pramaana labs secures seed funding to apply formal verification to ai, targeting high-stakes fields like law and tax.
learn seven faster alternatives to row-by-row loops in pandas for common data transformations.
learn codex by building small, practical projects step by step, from a first app to a full-stack clone.
pinterest launches an experimental conversational shopping app to explore ai-driven product discovery and personalized recommendations.
a diffusion-based method jointly models lab values and observation patterns to create realistic irregular clinical time series from mimic-iii data.
strands robots sdk integrates lerobot tools into a single agent loop for recording, simulation, policy inference, and hardware deployment.
glm-5.2 is an open-source model with a solid 1m-token context, improved coding, and flexible effort control, ranking highest among open models on long-horizon benchmarks.
datasette 1.0a34 introduces insert, edit, and delete row actions directly in the table and row pages, inspired by datasette agent's sql write support.
a study compares classification models in the inferbert framework for pharmacovigilance, finding that simpler models can suffice and domain-specific pretraining helps.
knowledge edits in multimodal large language models often revert to old facts when image-text pairs are separated, due to modality-specific knowledge storage.
a study uses mechanistic interpretability and uncertainty quantification to diagnose and repair neural network failures in single-shot 3d imaging at long distances.
a new bayesian method for boolean matrix factorization provides interpretable binary patterns with uncertainty estimates, applied to copy number analysis in cancer.
new concentration inequality for exchangeable sequences gives sharper error estimates when comparing ai model scores on benchmarks.
a model predictive controller balances production and worker training to handle skill shortages and disruptions in manufacturing supply chains.