In a groundbreaking move, researchers at Meta AI have tackled the longstanding challenge of achieving high-fidelity relighting for dynamic 3D head avatars. Traditional methods have often needed to catch up…
A committee of MIT leaders and scholars has published a series of white papers aiming to shape the future of AI governance in the US. The comprehensive framework outlined in…
Versa Operating System (VOS) Independently Certified to Meet Stringent EAL4+ Security Requirements Used in High-Assurance Deployments Versa Networks, the global leader in AI/ML-powered Unified Secure Access Service Edge (SASE) and Software Defined…
Today Gather AI welcomes Andrew Hoffman as Chief Technology Officer (CTO). Gather AI offers AI-powered autonomous inventory management solutions for warehouses using drones and Hoffman brings technical and leadership experience scaling supply chain-focused robotics…
Creating art like beautiful images and impressive essays in generative AI often leaves users with little control. Some tools generate music but often need more fine-tuned control than composers crave. You…
With the growing number of advancements in Artificial Intelligence, the fields of Natural Language Processing, Natural Language Generation, and Computer Vision have gained massive popularity recently, all thanks to the…
Our industry’s breathless hype about generative AI tends to overlook the stubborn challenge of data governance. In reality, many GenAI initiatives will fail unless companies properly govern the text files…
Accelerating AI governance with OneTrust’s end-to-end solution and expert-led masterclass OneTrust, the market-defining leader for trust intelligence, today announced the general availability of its European Union Artificial Intelligence Act (EU…
Audio plays an important role in the field of media and entertainment. It influences everything from movies and podcasts to audiobooks and video games. However, producing top-quality audio demands extensive…
Reinforcement Learning (RL) is a subfield of Machine Learning in which an agent takes suitable actions to maximize its rewards. In reinforcement learning, the model learns from its experiences and…