QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Unlike quantum computing, which faces steep hardware challenges, AI research can be iterated, trained, and scaled on existing infrastructure. In practical terms, this means AI might pose a practical ...

Optimization and architecture definition in chip design is important, but there's a downside to too much customization.

With only 14 billion parameters, rStar2-Agent is considered "compact" compared to models that often boast hundreds of ...

ZipRecruiter, Inc. ( NYSE: ZIP) Goldman Sachs Communacopia + Technology Conference 2025 September 10, 2025 6:45 PM EDT ...

Discover how Waystar leverages AI-driven cloud software to streamline healthcare payments, reduce claim denials, and drive double-digit growth.

Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

Rather than focusing merely on technological breakthroughs, China’s approach emphasizes integration: ensuring that AI capabilities are not only developed, but ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

How is AI being taught and integrated into the curriculum? I was just watching a video with a chart that showed how long it took different technologies to get to 100 million users: the telephone, ...

Edge AI enables AI models to run directly on local devices, bringing computation closer to data sources for faster, more efficient decision-making.

Beyond the hype, what does AI really mean for doctors and patients? Let's look at the promise, the problems, and the ...