The main market opportunities for automotive AI Box lie in enhancing edge AI capabilities for mid-to-low-end vehicles, particularly in improving IVI systems and cockpit integration. The demand for ...

Good AI governance allocates responsibility, delineates accountability, and calibrates the appropriate weight given to AI assisted analysis based on risk, materiality, and context. In doing so, ...

The EU is threatening to take action against the social media company. It could be the start of a global reckoning. Katie is a UK-based news reporter and features writer. Officially, she is CNET's ...

Forbes contributors publish independent expert analyses and insights. Pam Danziger reports on retail, focused on the luxury consumer market. AI offers immense retail value, but its "surveillance ...

For a meeting of proud ACC institutions, the Syracuse Orange (13-9) will head down to Chapel Hill for a Monday-night bid at the No. 16 North Carolina Tar Heels (17-4). KenPom’s rankings has these ...

As we prepare for the weekend, there are numerous rivalry clashes in college basketball. Still, none will be more contentious than the No. 3 Michigan Wolverines (19-1) visiting the No. 7 Michigan ...

This approach is grounded in a belief in material intelligence. Materials are not treated as neutral resources to be shaped into predetermined forms, but as active agents with specific behaviors, ...

TIDALWAVE began with a critical question: How will the U.S. sustain its forces in a conflict with China? President Xi Jinping has directed his military to be prepared to take Taiwan by 2027. Every day ...

The United States currently faces no greater threat than the People’s Republic of China (PRC). TIDALWAVE was thus conceived through the anticipation of a conflict between the U.S. and the PRC and by ...

MÉXICO D.F., Mexico, January 16, 2026 (EZ Newswire) -- Pulsar, opens new tab, a leading digital credit platform under Logiwarex, has announced a significant upgrade to its proprietary risk assessment ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...