A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

In the ever-evolving landscape of English football, the integration of data analytics and artificial intelligence (AI) is ...

AI’s real power lies not only in logistics efficiency but also in building long-term relationships with customers. Their ...

The researcher Eliezer Yudkowsky argues that we should be very afraid of artificial intelligence’s existential risks.

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...

So, it's always been trying to find that balance between the two.” Founded in September 2024, 2nd Coat is just barely a year ...

Wyatt Technology's DynaPro Plate Reader 4 integrates advanced light scattering techniques, optimizing workflows in ...