This guide looks at the real-world complexities of building software for aerospace. We'll cover what separates aerospace ...

Research suggests that the political toxicity many users encounter on social media is a design choice that can be reversed ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

AI is no longer just scanning X-rays or arranging appointments. Robotic systems are beginning to perform surgery with levels ...

The Centre for Advanced Learning (CFAL), Mangaluru, is all set to host Makers’ Fete 2025, a full-day festival of science, ...

India’s new labour codes—four sweeping laws meant to replace 29 fusty statutes—promise to simplify compliance, broaden social security, and grant firms the flexibility to hire, fire and grow. But then ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

ChatGPT and other vibe-coding tools were put to the test in nearly 40,000 matches – and lost to grad student code written ...

Traditionally, a commander might ask officers to produce three plans, then “wargame out” the options. AI can play that role—but over thousands of variations instead of a handful. The system interprets ...

Across the country, other schools besides Wharton are also catching the AI wave. One is Vanderbilt University in Tennessee, ...

FOR most of the industrial era, automation has relied on some form of logic. Ford’s conveyor assembly relied on a logical workflow called manu-mation (manual automation).

Current AI systems are not tools but assets. They are not valuable in terms of tangible elements but in the intangible algorithms, data models, and decision-making structures that stand out in them.