If technology is driving the future, how can we prepare students to do the steering if they do not learn computer science in school?

The road to AGI is paved with bold predictions — and a fair share of over-optimism. In 1965, AI pioneer Herbert A. Simon declared that machines would be capable of doing any human work within 20 years. In the 1980s, Japan’s Fifth Generation Computer project promised machines that could hold casual conversations by the 1990s. Neither materialized.

Most AI diagnostic tools are black boxes, but the new approach allows doctors and patients to understand how the computer reached a diagnosis.

Quantum computing can be an enhancement for AI, eventually solving optimization problems, improving machine learning algorithms and accelerating AI training processes.

The proliferation of AI has understandably set off alarm bells for workers concerned about losing their jobs to a computer. But recent projections from the U.S. Bureau of Labor Statistics suggest AI that codes and analyzes data could increase employment in the tech sector.

Imagine asking AI to plan your trip itinerary, book and pay for all your flights, and arrange your airport transport—all within a single click. Fortunately, an international research team is making this vision a reality.

Potential cuts to the U.S. AI Safety Institute (AISI) are causing alarm among some in the technology space who fear the development of responsible artificial intelligence (AI) could be at risk as

Kolkata: Two cutting-edge subjects, artificial intelligence and data science, will make a quiet debut in Higher Secondary this year, with the first ba.