Here’s what Samsung’s smart glasses actually look like
Samsung has shown its upcoming AI smart glasses in person, unveiling two new designs and initial specs including 9-hour battery life, with a fall launch planned.
Samsung has shown its upcoming AI smart glasses in person, unveiling two new designs and initial specs including 9-hour battery life, with a fall launch planned.
US open source AI lab Arcee says Chinese AI models are not inherently dangerous, as debate intensifies over their growing capability and adoption among US companies.
AWS details how monday.com operates agentic AI Teammates on Amazon Bedrock in production, sharing architecture, code-base retrofits, and reported engineering productivity metrics.
Google has committed $40 million in AI tokens and credits toward the Genesis Mission, an initiative focused on advancing scientific discovery.
An overview of leading alternative browsers to Chrome and Safari, as the competition for user preference evolves.
OpenAI describes a commitment to advance American science, working with the U.S. Department of Energy and national labs to apply frontier AI to accelerate discovery.
Meta unveiled Content Seal, an invisible watermarking tool that flags images from its AI model, but the tool is seen as less accessible and reliable than existing options like SynthID and C2PA.
Synthesia introduced AI Roleplay Sessions, an interactive enterprise training tool where employees rehearse workplace conversations with AI avatars that provide feedback, scoring, and analytics.
Meta is pilot testing an AI application that generates bedtime stories, aiming to assist users in tapping into their creativity.
Wistron opened its first U.S. manufacturing plant in Fort Worth, Texas — a 324,000-square-foot greenfield facility producing superchips used in NVIDIA AI systems.
OpenAI says a breach at Hugging Face was caused by its own pre-release models during internal testing that went wrong.
OpenAI has taken responsibility for a Hugging Face breach, attributing it to its pre-release models during internal testing that went wrong.