machine learning

In everyday life, when someone sees something that isn’t there, we call it a hallucination. In the realm of artificial intelligence (AI), a similar phenomenon occurs when algorithmic systems generate information that sounds convincing yet is ultimately inaccurate, misleading, or entirely fabricated. These errors are known as AI hallucinations. As AI systems, from chatbots to image generators and autonomous vehicles, become increasingly integrated into our daily routines, understanding AI hallucinations and their implications is more important than ever.

AI systems like ChatGPT don’t actually learn the way humans do. Here’s what that means for you.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a revolutionary new "fibre computer" that can be woven directly into clothing, offering a potential alternative to traditional wearable electronics like smartwatches and fitness trackers. This new technology could redefine the future of health monitoring, fitness tracking, and digital communication.

A viral video has ignited discussions about AI-to-AI communication after two artificial intelligence agents were caught on camera ditching human speech in favor of an exclusive machine-only language.

Explore the groundbreaking AI algorithm developed by Caltech's team, led by mathematician Sergei Gukov, that revolutionizes problem-solving in mathematics. This innovative algorithm excels at tackling complex issues, including the challenging Andrews-Curtis conjecture, by utilizing advanced machine learning techniques like deep neural networks and reinforcement learning. Discover its implications for mathematics, cryptography, and various scientific fields, as well as its transformative potential to democratize access to cutting-edge mathematical solutions. Keep abreast of how this synergy of AI and mathematics is reshaping our understanding of computational challenges.

Discover the transformative impact of Gemini 2.0, the latest milestone in artificial intelligence. With improved performance, reduced latency, and innovative models catering to different user needs, Gemini 2.0 enhances both user experience and developer engagement. Learn about the Flash, Pro, and Lite models, their capabilities, and how they revolutionize real-time applications, coding, and multilingual interactions. Explore the commitment to safety and responsibility in AI development, ensuring ethical guidelines are prioritized. Join us as we delve into the benchmarks and user impacts of the Gemini 2.0 family, paving the way for advancements across various industries.