This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural ...

How can AI stabilize the power grid? New research uses biomimetic neural networks to manage the uncertainty of solar and wind energy, reducing hardware costs and preventing blackouts.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Integrating MCDA, CE, LCA, and ANN, this research evaluates bio-based retrofitting approaches, promoting sustainability in ...

Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Unintentional leak of internal portions of Anthropic Claude Code has raised renewed debate about neuro-symbolic AI. I explain ...

For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...