May 2025

Why it matters: Scarlett Johansson Battles AI for Rights as she challenges OpenAI over voice misuse and sets a legal precedent.

Why it matters: Bing API Limits Spark AI Shift as Microsoft restricts search data, pushing developers toward new solutions.

School policies around phone use are changing—and fast. In Ontario, Canada students are already being asked to keep their phones out of sight during class. Several European countries have taken steps in that direction, and now discussion is building in the U.S. as well. Lawmakers are pushing similar restrictions, with two senators introducing a bill…

There was a time when volumetric effects were concealed from everyone on a film stage except the VFX supervisors huddled around grainy, low-resolution preview monitors. You could shoot a complex scene with enveloping fog swirled through ancient forests, crackling embers danced in haunted corridors, and ethereal magic wove around a sorcerer’s staff. Yet no one…

Vasu Murthy is the SVP and Chief Product Officer at Cohesity, bringing over 25 years of enterprise software experience across data security, protection, and analytics. Prior to joining Cohesity, he held leadership roles at Rubrik, Oracle, and DataScaler, contributing to product growth and large-scale innovation. Cohesity is the leader in AI-powered data security. Over 13,600 enterprise…

Why it matters: Explore how AI in healthcare is transforming diagnostics, treatment, and patient care with real-world case studies & statistics.

Why it matters: Google Launches AI Coding Rival with Project Astra, an always-on assistant competing with Copilot and ChatGPT.

Why it matters: TikTok Tests AI Tool for Animations that brings still photos to life using text prompts and generative AI.

Many top language models now err on the side of caution, refusing harmless prompts that merely sound risky – an ‘over-refusal’ behavior that affects their usefulness in real-world scenarios. A new dataset called ‘FalseReject’ targets the problem directly, offering a way to retrain models to respond more intelligently to sensitive topics, without compromising safety.  …

Imagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue but does not have an enlarged heart. Looking to speed up diagnosis, she might use a vision-language machine-learning model to search for reports from similar patients. But if the model mistakenly identifies reports with both…