Machine learning & AI

A bio-inspired approach to enhance learning in ANNs

The human brain continuously changes over time, forming new synaptic connections based on experiences and information learned over a lifetime. Over the past few years, artificial Intelligence (AI) researchers have been trying ...

Machine learning & AI

Advancing dynamic brain imaging with AI

MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology ...

Electronics & Semiconductors

Demonstrating significant energy savings using neuromorphic hardware

For the first time TU Graz's Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less ...

Computer Sciences

A flexible Bayesian framework for unbiased estimation of timescales

An international team of researchers from Tübingen and Cold Spring Harbor (New York) has found a pioneering way of determining at what pace changes typically happen. The new method avoids previous systematic errors in estimating ...

Robotics

Brain activity reveals individual attitudes toward humanoid robots

The way humans interpret the behavior of AI-endowed artificial agents, such as humanoid robots, depends on specific individual attitudes that can be detected from neural activity. Researchers at IIT-Istituto Italiano di Tecnologia ...

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