Mouse study sheds light on how the brain recognizes stable patterns in changing scenes

Humans and many other animals can innately recognize familiar objects in their surroundings, irrespective of the angle they are observed from, changes in lighting or other shifts in the surrounding ...
Tech Xplore

Can thermal noise train a computer? A new framework points to low-power AI

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Using the vagus nerve to treat disease: Review maps today's science, points to tomorrow's therapies

What type of medical intervention is approved by the U.S. Food and Drug Administration across different devices and indications to help treat conditions as disparate as epilepsy, stroke rehabilitation ...

10 things to know about Apple’s new M5 Pro and M5 Max MacBook Pros

The latest versions of Apple's MacBook Pro laptops include M5 chips with revamped architecture to bring performance upgrades ...
GitHub

Neural Pupil Engineering for off-axis Fourier Ptychography

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

Tesla begins hiring AI hardware engineers in Bengaluru, signals deeper tech expansion in India

According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...
Devdiscourse

AI energy monitoring system could reshape residential power management

Their findings are detailed in the study “Efficient Energy Consumption: Leveraging AI Models for Appliance Detection,” published in the Journal of Low Power Electronics and Applications, where the ...
Scientific American

Could Symbolic AI Unlock Human-Like Intelligence?

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...
Frontiers

A neural network model combining the successor representation and actor-critic methods reveals effective biological use of the representation

In learning goal-directed behavior, state representation is important for adapting to the environment and achieving goals. A predictive state representation called successive representation (SR) has ...
EurekAlert!

Neural network trained to predict crises in Russian stock market

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...
IEEE

Fast Optimization of Arbitrary-Shaped Antennas Using a Deep Neural Network Model Trained Once by an Efficient Electromagnetic Field Solver

Abstract: Fast optimization of arbitrary-shaped antennas is enabled by a neural network model, trained by a method of moments (MoM) framework capable of evaluating large sets of pixel-based antenna ...