Training algorithm breaks barriers to deep physical neural networks

From Ecole Polytechnique Fédérale de Lausanne 28/12/23 EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware. With their ability to process vast amounts of data through algorithmic ‘learning’ rather than traditional programming, it […]

AI-driven earthquake forecasting shows promise in trials

From University of Texas at Austin 13/10/23 A new attempt to predict earthquakes with the aid of artificial intelligence has raised hopes that the technology could one day be used to limit earthquakes’ impact on lives and economies. Developed by researchers at The University of Texas at Austin, the AI algorithm correctly predicted 70% of […]

Are you a grow-bot? AI drones to help farmers optimise vegetable harvests

A drone flies over a field.

From University of Tokyo 09/10/23 For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. […]

Does a brain in a dish have moral rights?

From Cortical Labs 20/09/23 No longer limited to the realm of science fiction, bio-computing is here, so now is the time to start considering how to research and apply this technology responsibly, an international group of experts says. The inventors of DishBrain have partnered with bioethicists and medical researchers to map such a framework to […]

Supreme intelligence: Future AI should mimic ecological systems as well as the brain

From Cary Institute of Ecosystem Studies 13/09/23 Many of today’s artificial intelligence systems loosely mimic the human brain. In a new paper, researchers suggest that another branch of biology — ecology — could inspire a whole new generation of AI to be more powerful, resilient, and socially responsible.  Published September 11 in Proceedings of the National […]

AI discovers magnetic materials to replace rare earth elements used in green tech

From DOE/Ames National Laboratory 06/08/23 A team of scientists from Ames National Laboratory developed a new machine learning model for discovering critical-element-free permanent magnet materials. The model predicts the Curie temperature of new material combinations. It is an important first step in using artificial intelligence to predict new permanent magnet materials. This model adds to […]

‘Introspective’ AI improves its own neural network through open-mindedness

From North Carolina State University 03/09/23 An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks. “We created a test system with a […]

Combining AI models improves breast cancer risk assessment

From Radiological Society of North America 30/08/23 Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). Most breast cancer screening programs take a one-size-fits-all approach and follow the same […]

New detector unlocks large-scale optical neural networks: Faster and energy-efficient

From Optica 25/08/23 Faster, energy-efficient diffractive ONN could be used for image and video processing For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays the groundwork for large-scale ONNs, which can perform high-speed […]

AI estimates rice yields from crop images

From Okayama University 24/08/23 With the rise in global demand for staple crop products projected to substantially increase by 2050 due to population growth, rising per capita income, and the growing use of biofuels, it is necessary to adopt sustainable agricultural intensification practices in existing croplands to meet this demand. However, estimation processes currently employed […]

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