Browsing: Machine Learning

Cardiff University researchers have developed an AI system called PoachNet that uses machine learning to predict and prevent elephant poaching in Sabah, Malaysia.

Microsoft introduces Magma, a novel foundational model that bridges the gap between language and visual data, enabling AI agents to perform complex tasks in both digital and physical environments.

Google DeepMind’s AlphaGeometry2 (AG2) AI system has achieved a significant milestone, surpassing the performance of International Mathematical Olympiad (IMO) gold medalists in solving geometry problems.

Security leaders from across the globe gathered virtually to discuss the challenges and opportunities of AI adoption, focusing on governance, risk mitigation, and ethical considerations across the Americas, EMEA, and APAC regions.

Microsoft Research Asia (MSRA) recently hosted an exhibition highlighting its latest breakthroughs in artificial intelligence, spanning foundational research to real-world applications and the future of human-AI collaboration.

Amazon is using AI, specifically “Project P.I.,” to identify defects in products before they ship to customers, enhancing the customer experience and promoting sustainability.

MIT Biology researchers have developed FragFold, an AI-powered computational method that predicts protein fragments capable of binding to and inhibiting target proteins, with potential for significant impact on biological research and therapeutic applications.

FSU’s AIMLX25 will explore integrating AI and machine learning into classrooms while addressing ethical considerations.

Explore the potential of AI in revolutionizing drug discovery, its challenges, and the future of AI-human collaboration in the pharmaceutical industry.