When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Telecom success hinges on four key developments: agentic AI, sustainability imperatives, edge computing, and workforce modernization. So says enterprise software firm IFS.

That meant improving profitability, reducing volatility in our profit share revenue, growing total revenue and customer retention, strengthening operational execution and building a culture of ...

In September 2025, for the first time, all the member states of the United Nations gathered to discuss international AI governance; many were represented again in February at Delhi’s AI Impact Summit.

Canon U.S.A., Inc., a leader in digital imaging solutions, is proud to announce the latest additions to its expanding imageFORCE portfolio with the introduction of the imageFORCE C1935P Compact Color ...

ancora launches ancoraFlow™, an end-to-end AP automation platform that streamlines invoice routing, approvals, matching, fraud detection, and ERP integration.

On the CAIO Connect Podcast, Jenna Zangs shares how universities can adopt AI responsibly—prioritizing students, data ...

In the modern beauty industry, data-driven personalization is no longer a luxury-it is an expectation. However, building a medical-grade diagnostic tool from scratch is a monumental task, requiring ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

As climate pressure mounts, new platforms tackle delivery, regulation, trait stacking, and data bottlenecks limiting agricultural genome editing.