A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

He pointed to data from American National Election Studies (ANES) to illustrate the significance of the two degree shift.

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

Researchers and surgeons at Florida International University (FIU) are helping turn the tide on cardiovascular disease, the leading cause of death in the United States, through early detection, ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Abstract: Genetic algorithms (GA) are search engines that either optimize or reduce predefined functions. The technique of selection is an important phase in GA. This research study aims to evaluate, ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

With the rise of 3D printing and other advanced manufacturing methods, engineers can now build structures that were once impossible to fabricate. An emerging design strategy that takes full advantage ...

The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing ...