He argued that the field has become "overhyped," with many choosing it purely for money rather than curiosity.

Overview Companies collect data through user inputs, tracking tools, apps, and third-party sources.Businesses analyse data to ...

Want to start a career in AI? Explore the top AI jobs in India for 2026, including ML Engineer salaries, required skills like ...

The policy, Tang said, aims to replace the old ecosystem of unbridled capital expansion and aggressive algorithmic evolution ...

Missing data can derail even the most promising analysis, but modern imputation techniques are transforming this challenge into a solvable problem. From straightforward substitutions to advanced ...

Equally important to the improvements in performance and scale has been the ongoing optimization of China’s computing ...

Artificial intelligence has entered a new phase: models can take actions—deploy code, interact with enterprise systems and ...

By promoting transparency, competition, and institutional accountability, the NIH could reward scientific excellence and ...

Discover why micro-creators are scaling faster than massive influencers in 2026, backed by the latest engagement data and ...

With the proliferation of artificial intelligence, alarm bells are going off in higher education. The worry? That professors ...

A research university emphasizes entrepreneurial science—and spawns start-ups in fields as varied as genetic medicine, ...

Universities are deploying AI-enhanced cloud platforms to improve resource scheduling and strengthen data protection. These systems merge adaptive algorithms with advanced encryption to dynamically ...