Introduction: The Shift from Recognition to Generation For the past decade, the narrative around Artificial Intelligence in image processing has focused primari ...
Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...
Discover how open-world game development works, from the complete game design process for creating vast maps to building advanced NPC systems that bring worlds alive.
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...
Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.
Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...
The next great biological threat may not begin in a wet market, a jungle, or a laboratory accident. It may begin on a laptop with a commercially available ...
Weeks before Elon Musk officially left his perch in government last spring, employees on the human data team of his artificial intelligence start-up xAI received a startling waiver from their employer ...
Findings show that the underground marketplace for illicit AI tools has matured, lowering the barrier for less sophisticated actors ...
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