Advances in imaging and machine learning In their previous work, Hong's team, under the joint leadership of Prof. Limei Xu and Prof. Ying Jiang at Peking University, made significant strides toward a ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

The term "vibe coding" has been flung around a lot on social media these days; It's rapidly joining an army of slop terms that can throw the average pre-Gen Z internet user out of the loop. But what ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...

Teachers’ and students’ use of artificial intelligence in K-12 classrooms is increasing at a rapid pace, prompting serious concerns about the potentially negative effects on students, a new report ...

The Indian Institute of Technology (IIT) Delhi has commenced the Certificate Programme in Data Science and Machine Learning, a six-month course designed to equip early and mid-career professionals ...