The tax landscape has shifted beneath our feet. What used to be manual reviews and random selections has morphed into ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Abstract: The random Kaczmarz (RK) algorithm is an iterative method to solve overdetermined linear systems and serves as a representative example of row action methods. In this paper, we propose a ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...