In other words, we can use AI as a simulated audience: a stand-in that reacts to a data story as if it were a specific type ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

NetApp’s Excellerator Demo Day in Bengaluru spotlights five deep-tech startups—Synthefy, Filo Systems, TrueFoundry, Sentra, ...

Hybrid cloud is central to modern IT strategy, but it requires careful planning to address its inherent risks.

Blending DDI with AI lets your network see, think and fight back faster — closing gaps before attackers even get in.

A team of researchers in Canada has developed the Jericho Open Resistive Data Logger—an open-access photovoltaic (PV) monitoring platform that integrates data acquisition and processing hardware, a ...

As compliance teams experiment with AI for everything from risk assessments to policy interpretation, a practical question emerges: Which tasks ...

• Proactive Insight Generation: The role of AI is not just to analyze the present but also to anticipate the future. By ...

Then David, who leads the Factor XI clinical program at Regeneron, will present preclinical data as well as clinical data from the ROXI-VTE-I and II studies in venous thromboembolism prevention post ...

Strategic Implications: Analytical findings reported today underscore ABP-450’s potential to become the first full label therapeutic biosimilar to BOTOX® in the U.S., positioning AEON to address a >$3 ...

Ex vivo lung perfusion (EVLP) provides a platform for testing therapies but faces challenges in standardizing drug evaluation. At AAPS PharmSci 360, Xuanzi Zhou says digital twins accurately predict ...