Natural-language companion to the Voyager® Toolkit helps developers rapidly build high-accuracy ML pipelines, debug faster, quickly find answers, and optimize performance for Axelera-based systems ...

Modern JavaScript teams do not just need more vulnerability reports. They need dependency decisions that developers can ...

Intruder, a leader in exposure management, today announced the launch of AI Pentesting for web applications, providing on-demand penetration testing. Following its initial release of issue-level ...

LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.

Software teams have reached a point where simply adding new software features to operating systems is the bare minimum, not a ...

India’s Census 2027 will be the world’s largest population exercise, introducing digital-first data collection, ...

Threat actors compromised AsyncAPI packages and weaponized trusted CI/CD workflows to distribute malware through npm. This ...

Carla Kim of Sterne, Kessler, Goldstein & Fox PLLC examines the challenges of patent protection for AI-discovered drugs in ...

Fintech Magazine ranks the top banking-as-a-service providers, with industry giants like Banking Circle & ClearBank leading ...

After the cabinet decision on the Act on Data and Digital Innovation in Healthcare (GeDIG) and the relief package, the ...

In this year’s awards from the Center for Digital Government, the 54 winning counties used both traditional and emerging technologies to make meaningful change for residents and staff.

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...