Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

During the day, our brain acquires new memories; at night, during sleep, it consolidates the important ones and eliminates ...

The company has drawn governments, a major chipmaker, and the Pentagon into an effort to control fragile photons and build a ...

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...

Abstract: Spectrum sensing is an indispensable technology for cognitive radio networks, which enables secondary users (SUs) to discover spectrum holes and to opportunistically use under-utilized ...

† Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou 310018, Zhejiang, China ‡ State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou ...