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.
Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a diffusion-based large language model, or a “DLM” for short.
The pioneering roboticist shares, in the first of Newsweek's AI Impact interview series, what 50 years of experience has taught him about AI hype cycles
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.
Quantum computing can be an enhancement for AI, eventually solving optimization problems, improving machine learning algorithms and accelerating AI training processes.
Most AI diagnostic tools are black boxes, but the new approach allows doctors and patients to understand how the computer reached a diagnosis.
Anthropic launched an advanced AI model on Monday that can produce faster responses or display its step-by-step reasoning process, as it looks to gain a competitive edge in the generative artificial intelligence industry.
Grand Valley State University (GVSU) will now offer bachelor’s and master’s degrees in artificial intelligence and software engineering.
How can we prepare students for a world increasingly influenced by artificial intelligence? If you are in the education field, it’s likely that you are