Researchers at Tampere University have successfully used artificial intelligence to predict nonlinear dynamics that take place when ultrashort light pulses interact with matter. This novel solution can be used for efficient and fast numerical modelling, for example, in imaging, manufacturing and surgery. The findings were published in the prestigious Nature Machine Intelligence journal.
Startup Falcon is pleased to announce the launch of its innovative, AI-powered valuation machine - a tool designed to facilitate the fundraising process for early-stage startups, and the investment process for interested VCs, Accelerators, and Angel Investors.
Scientists from the Andalusian Research Institute in Data Science and Computational Intelligence, or DaSCI, together with the private company Ferrovial and the Spanish Royal Academy of Engineering, highlight the need for unified, accessible, and open data in developing projects to address many of the challenges of the UN's Sustainable Development Goals
Doctors and healthcare workers may one day use a machine learning model, called deep learning, to guide their treatment decisions for lung cancer patients, according to a team of Penn State Great Valley researchers.
A new tool using an artificial intelligence platform may help doctors better prepare patients for surgery.
A new lightweight AI-powered robotic glove pioneered by a Scottish biotech start-up, BioLiberty, could help deliver independence to millions of people with reduced mobility.
The Army of the future will involve humans and autonomous machines working together to accomplish the mission.
A new AI model that harnesses the power of the world's fastest supercomputer, Fugaku, can rapidly predict tsunami flooding in coastal areas before the tsunami reaches land.
Personalized Artificial Intelligence developer Alt Inc. has released an English version of AI GIJIROKU, Japan's first AI minutes creation subscription software.
A study has now been presented that boosts the evidence for using AI solutions in skin cancer diagnostics. With an algorithm they devised themselves, scientists at the University of Gothenburg show the capacity of technology to perform at the same level as dermatologists in assessing the severity of skin melanoma.