Team Canada enters the 2026 Winter Olympics as the favorite to capture the gold medal, and with good reason. Their roster is loaded at the forward and defensive positions, with the only question being ...

The 2026 NBA trade deadline has passed. Teams can still add on the edges in the buyout market, but for the most part rosters are now set for what should be a wild stretch run. Not much changed at the ...

Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...

O n a Tuesday at the end of last semester, I asked my first-year writing class how they were using AI in their courses. One of my strongest students raised her hand. She admitted, almost sheepishly, ...

Digi Power X is rated a buy, driven by robust liquidity, a strategic pivot to AI data centers, and GPU-as-a-service growth. DGXX expects liquidity to exceed $100 million into 2026, with no long-term ...

Khamosh Pathak is a freelance tech journalist with over 13 years of experience writing online. An accounting graduate, he turned his interest in writing and technology into a career. He holds a ...

Power Is the New Gold Rush for AI Data Centers Your email has been sent In 1849, the 49ers chased gold. In 2025, the new rush is for power. Utilities and grid operators are overwhelmed with requests ...

It's amazing that in a season full of defining moments, just two plays from one game might change a team's outlook. Yet that's exactly what happened to the Green Bay Packers on Sunday. Two plays.

Tommy Egan is on one this season, and it may be entertaining as hell, but his enemies list is growing by the second. And I didn’t think it could get any longer than it already was. At the end of the ...

Andy is a seasoned technology journalist with more than 15 years experience in the mobile industry, writing for Digital Trends, Wired, and more. During that time he has reviewed hundreds of ...

Have you ever found yourself staring at a massive dataset, trying to calculate discounts, tax brackets, or other metrics based on thresholds, only to feel like your workflow is grinding to a halt? If ...