Think in Arrays: Mastering Vectorized Operations with NumPy
A new tutorial shows how replacing Python loops with NumPy array operations can make numerical code faster and more readable.
Frontier models, research results, agents, and developer tooling.
A new tutorial shows how replacing Python loops with NumPy array operations can make numerical code faster and more readable.
Reflection's from-scratch, Apache-2.0 MoE targets coding and agentic work, but early observers place it behind Chinese frontier models.
A 7B-parameter model from TII targets the gap between Modern Standard Arabic and the Emirati dialect, aiming to capture cultural context that literal translation misses.
The open, 740M-parameter model maps text, code, images, video, and audio into one embedding space for on-device retrieval.
The quant firm says OpenAI's latest model lets agents run multi-day, open-ended research tasks while keeping humans in review.
The collaboration aims to improve how AI agents handle complex professional contracting tasks.
Nathan Lambert argues that polarized takes on open-weight cyber risk ignore trade-offs and could hurt AI competitiveness and security.
Two OpenAI announcements reinforce a shared vision of AI-supported learning beyond the classroom, but one is research and the other is deployment.
A new NVIDIA survey finds 89% of telecom operators see open-source AI as important, citing control, customization, and local adaptation.
OpenAI publicly supports California SB 1119, which would introduce age-appropriate safeguards for teens using AI.
A single off-the-shelf geospatial foundation model improved or matched conventional inputs across five disease-surveillance and prediction tasks, according to Google Research.
New survey data shows public distrust of AI rising even as adoption hits record highs, suggesting the backlash targets tech companies more than the technology itself.
Google has launched Google Pics, a Workspace image tool built on its latest Nano Banana model, now available to users.
The home goods retailer is applying OpenAI models to streamline customer service and improve product data quality at scale.
A Google Research workshop report argues that trustworthy AI agents must reason about social context, not just follow fixed permissions.
New research shows that the Model Context Protocol, widely used for AI agent communication, has structural trust flaws that allow prompt injection attacks to propagate between agents.
A tutorial shows how to train a robot policy by streaming the NVIDIA Cosmos3-DROID dataset, avoiding a full local download.
The startup claims its 501B-parameter open-weight model matches leading rivals on reasoning while using far less inference compute.