Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

AI tools like Google’s Veo 3 and Runway can now create strikingly realistic video. WSJ’s Joanna Stern and Jarrard Cole put them to the test in a film made almost entirely with AI. Watch the film and ...

At the recent "Human X Car X Home" partner conference, Xiaomi's MiMo model team leader Luo Fuli introduced the open-source MiMo-V2-Flash model, designed to boost agent execution capabilities as ...

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...

Abstract: Real-time autonomous control of decentralized drone swarms in dynamic and cluttered environments remains a significant challenge. This paper presents a natural language-driven framework that ...

Meta is reportedly developing a new AI model, code-named "Avocado," slated for release in the spring of 2026. Unlike its popular Llama series, which embraced an open-source approach, Avocado is ...

The Washington-based startup launched the Nvidia H-100 GPU, which boasts 100 times the compute of other chips previously launched into orbit, CNBC reported on Wednesday. The company has been training ...

Meta Platforms (META) may release a new large language model in the first-quarter of 2026, as the Mark Zuckerberg-led company looks to further compete with Google (GOOG) (GOOGL), OpenAI (OPENAI) and ...

Executives do not buy models. They buy outcomes. Today, the enterprise outcomes that matter most are speed, privacy, control and unit economics. That is why a growing number of GenAI adopters put ...

Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...

This study presents a novel model-agnostic framework that integrates large language models (LLMs) with cognitive diagnosis models (CDMs) to enhance the accuracy and robustness of cognitive assessments ...

As a graduate student in the 1980s, Yann LeCun had trouble finding an adviser for his Ph.D. thesis on machine learning—because no one else was studying the topic, he recalled later.