Working with AI at scale requires that you use models and their APIs like any other components in a software development ...

By pooling GPUs and cloud resources across institutions, the NRP lets students and faculty run advanced AI workloads without ...

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates ...

Traditional timing solutions, long dominated by quartz-based oscillators, are reaching the limit of their functionality in ...

Resilience and smarter infrastructure are critical as three converging trends create new challenges for customers and opportunities for managed service providers. AI at the edge, closing protection ...

New research from National Mortgage News finds that nonbank mortgage firms are leading the pack of tech adopters, outpacing ...

The modern data landscape demands sophisticated engineering solutions that can handle massive scale while maintaining operational excellence. As organizations increasingly rely on real-time analytics ...

Gokul Ramakrishnan said In risky settings, technology is more than just information; it is about giving employees the tools ...

Telcos in AI infrastructure are reshaping the industry by using fibre, networks, and partnerships to power AI compute centres ...

The wireless industry is in the midst of a shift toward a more sophisticated phase of 5G with 5G-Advanced, representing a new ...

Regulatory requirements such as the EU’s Digital Operational Resilience Act (DORA) underscore the need for financial institutions to improve their resilience to very real threats such as cyberattacks, ...

Research, much if it by companies with deep investment in AI, suggests that chatbot interactions alter how users think.