Two of the trickiest qualities to balance in the world of machine learning are fairness and accuracy. Algorithms optimized for accuracy may unintentionally perpetuate bias against specific groups, while those prioritizing fairness may compromise accuracy by misclassifying some data points.

But the reality is that AI and machine learning are not new concepts. They’ve been quietly underpinning many technologies for at least two decades. As the leader of an entertainment technology company—composed of iconic brands like TiVo, DTS and HD ...

On September 28, California Gov. Gavin Newsom signed Senate Bill 1120 Health Care Coverage: Utilization Review into law, amending § 1367.01 of

If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple feedback loop, those superior AI architectures can then themselves devise even more powerful architectures—and so on.

In today’s rapidly evolving digital landscape, protecting brand identity has become more critical than ever. With the rise of online platforms and user-generated content, businesses face new and complex challenges in safeguarding their brand assets.

Scientists teach AI to recognise when a goat is upset - System could be used to increase animal welfare, and might inform care of child and non-verbal patients, researchers suggest

Artificial Intelligence (AI) and Machine Learning (ML) are changing the world, including the defense industry. Maryland, known for its tech skills and close connections with defense organizations, is leading the charge in using AI and ML to keep us safe.

Learn why AI agents are essential for modern businesses, providing seamless integration and enhanced decision-making capabilities.

While it’s fair to say that AI is not new to cybersecurity, it’s also true that we can now do more with AI to improve cybersecurity than ever before.

Biotechnology may be one relatively overlooked sector that's been using AI and machine learning to improve operations and uncover new treatments and products. In fact, McKinsey described AI-driven drug discovery as "the future of biotech." Notably ...

The evolution of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized numerous sectors, but perhaps its most impactful transformation has been in the ridesharing industry.