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 ...

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 ...

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

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

India, June 7 -- Artificial Intelligence is evolving at lightning speed, with new models, frameworks, and tools emerging almost every week. While tutorials and videos help beginners get started, books ...

Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier to the use of MBT is ...

Abstract: The creation of a manual discharge summary report is time-consuming and often error-prone. This work examines three transformer models (i.e., BART, Flan-T5-Large and Mistral-7B) to automate ...

Abstract: This paper presents Temporal-Context Planner with Transformer Reinforcement Learning (TCP-TRL), a novel robot intelligence capable of learning and performing complex bimanual lifecare tasks ...

Beyond the on-the-ground experience of using the tools, there are myriad public concerns surrounding this controversial and interesting technology including, but definitely not limited to: questions ...

In recent years, Large Language Models (LLMs) like GPT have transformed how we interact with technology—from writing code and answering questions to generating creative content. At the heart of these ...