RentAHuman.ai Allows AI Agents to Hire Humans to Perform Physical Tasks RentAHuman.ai was recently launched by Alexander Liteplo, a crypto engineer at UMA Protocol, as a new service that allows AI ...

Hardtech companies build in environments where mistakes are expensive, pushing back deadlines by weeks, costing millions or leading to irreversible damage. While these companies would obviously want ...

For developers working with SQL Server, few performance tuning techniques are as essential--or as frequently misunderstood--as indexing. Done right, indexing can drastically improve application ...

Register once for unrestricted access to both events, allowing you to select the content that best meets your learning needs. If you’re a data professional looking to learn more about migrating and ...

In context: Mounting controversies have not deterred Microsoft from adding unpopular AI features to Windows 11, which is struggling to gain users despite the end of official Windows 10 support. A ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

MIT's "Project Iceberg" maps out the economic impact of AI. Companies overlook AI's impact on 9.5% of the US workforce. AI's disruptive potential will vary across industries and jobs. When considering ...

What if you could debug, test, and optimize your code with the precision of AI, directly within your browser? Enter Google’s Chrome DevTools Model Context Protocol (MCP), a new innovation that’s ...

Tired of headlines about AI yet? Unfortunately, here’s another one: in Square Enix’s latest Business Plan report, the company committed to a goal of automating 70% of its QA and debugging tasks in ...

Final Fantasy publisher Square Enix has revealed that it hopes generative AI will handle the bulk of its QA and debugging in the next two years. Speaking in a progress update on its medium-term ...

According to Andrej Karpathy (@karpathy), a recent in-depth technical analysis traces a mysterious loss curve in AI model training down to a subtle bug in the PyTorch MPS backend. The issue involves ...