Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Nvidia (NVDA) holds a $2.7B investment portfolio focused on AI infrastructure. The portfolio has dropped 30% since Q3 ended. CoreWeave (CRWV) comprises over 91% of Nvidia’s portfolio but crashed 46% ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Artificial Intelligence (AI) has evolved from a futuristic concept into the driving force behind automation, personalization, and innovation across every industry. From self-driving cars to ...

Artificial Intelligence has reached a point where machines don’t just follow instructions—they “pick up” patterns and behaviors by watching examples, much like humans do. This phenomenon is known as ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

While ChatGPT, Gemini, and other generative AI products have their uses, some companies are going overboard. Beyond issues like hallucinations or AI screwing up — like deleting an entire code database ...