AI

Some of designer C Jacob Payne’s projects present new, futuristic products — such as zero-gravity footwear for astronauts, and electronic-embedded ceramics — using technological tools and processes of digital fabrication, material innovation, and interactive interfaces. Other projects travel back in time to past centuries, considering the challenge of preserving and reconstructing Black architectural heritage. Payne […]

Religious communities around the US are getting hit with AI depictions of their leaders sharing incendiary sermons and asking for donations.

Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they’ve got to hone the user experience.

From seemingly AI-generated videos to repurposed old footage, TikTok, Instagram, and X did little to stop the onslaught of misleading posts in the wake of the US invasion of Venezuela.

Some AI chatbots have a surprisingly good handle on breaking news. Others decidedly don’t.

After years of hype about generative AI increasing productivity and making lives easier, 2025 was the year erotic chatbots defined AI’s narrative.

Dating apps and AI companies have been touting bot wingmen for months. But the future might just be good old-fashioned meet-cutes.

US support for nuclear energy is soaring. Meanwhile, coal plants are on their way out and electricity-sucking data centers are meeting huge pushback. Welcome to the next front in the energy battle.

Operating a self-managed MLflow tracking server comes with administrative overhead, including server maintenance and resource scaling. As teams scale their ML experimentation, efficiently managing resources during peak usage and idle periods is a challenge. Organizations running MLflow on Amazon EC2 or on-premises can optimize costs and engineering resources by using Amazon SageMaker AI with serverless

Businesses face a growing challenge: customers need answers fast, but support teams are overwhelmed. Support documentation like product manuals and knowledge base articles typically require users to search through hundreds of pages, and support agents often run 20–30 customer queries per day to locate specific information. This post demonstrates how to solve this challenge by