After months of testing local LLMs, I found that productivity depends on tools, not just models.

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...

Shopify built an LLM proxy and distillation pipeline so its engineers keep working when any model goes away — and often get ...

ProjectBEA is a modular, fully autonomous AI VTuber engine. It powers a living AI persona — Bea — that can hold live conversations, monologue to her audience when idle, join Discord voice calls, play ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

The Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had ...

LLMs and agents are reshaping how consumers research and buy. Most companies aren’t ready. by Oguz A. Acar and David A. Schweidel In 2024 Gokcen Karaca, the head of digital and design at Pernod Ricard ...

Learn how to model with AI an operational amplifier precision half-wave rectifier, which can help overcome challenges ...

Abstract: A prior-knowledge-guided transformer-model-based synthesis method is proposed for extrapolating active S-parameters and full S-parameter matrices in linear antenna arrays, accounting for ...

Collection of official MongoDB agent skills for use in agentic workflows. For more information, refer to the MongoDB Agent Skills documentation. Install the plugin ...

Objective: This study aimed to investigate failure modes of reasoning-based LLMs in medicine by (1) auditing the integrity of the MedQA benchmark, (2) developing a clinically informed taxonomy of ...