Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

Abstract: In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

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.

Today, Indiana thrives as a hub for innovators, visionaries and bold thinkers who will shape our future. Our manufacturers, logistics networks and research universities propel the Midwest and America ...

Pointing to Korea's rise in autos, the late Berkshire Hathaway vice chair argued that "only a total idiot" would be surprised to lose to competitors who outwork and outlearn you. He cited the example ...

In my last post, we looked at how AI is quietly shaping childhood through voice assistants, smart toys, and educational tools. While AI in education sounds great, there are some downsides too. Using ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...