The ASI Alliance has introduced AIRIS (Autonomous Intelligent Reinforcement Inferred Symbolism) that “learns” within the popular game, Minecraft. AIRIS represents the first proto-AGI (Artificial General Intelligence) to harness a comprehensive tech stack across the alliance. […]
Video generation has rapidly become a focal point in artificial intelligence research, especially in generating temporally consistent, high-fidelity videos. This area involves creating video sequences that maintain visual coherence across frames and preserve details over […]
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Nintendo president Shuntaro Furukawa said that the company’s upcoming Switch successor will be backward compatible. But he did so without saying anything about what the Switch 2 will be. That means the new Switch console, […]
The combination of artificial intelligence and policymaking can occasionally have unforeseen repercussions, as seen recently in Alaska. In an unusual turn of events, Alaska legislators reportedly used AI-generated citations that were inaccurate to justify a […]
Autonomous agents have emerged as a critical focus in machine learning research, especially in reinforcement learning (RL), as researchers work to develop systems that can handle diverse challenges independently. The core challenge lies in creating […]
Large language models (LLMs) are getting better at scaling and handling long contexts. As they are being used on a large scale, there has been a growing demand for efficient support of high-throughput inference. However, […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A common criticism of big tech is that their platforms treat users as little more than […]
Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Breakthroughs achieved by deep learning, such as AlphaFold2, have moved the goalpost for predicting static structures but do not address the […]
In recent years, multimodal large language models (MLLMs) have revolutionized vision-language tasks, enhancing capabilities such as image captioning and object detection. However, when dealing with multiple text-rich images, even state-of-the-art models face significant challenges. The […]
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