Harvard engineers have pioneered a unique wearable robot that adapts to user movements, providing personalised assistance to enhance daily activities for stroke and ALS patients.
Scientists at the University of Virginia have used the power of machine learning to identify potential drugs that could significantly reduce harmful scarring following a heart attack or other injuries.
Kyushu University joined Osaka University and the Fine Ceramics Center to utilise machine learning to accelerate the discovery of vital materials for advancing green energy technologies.
Dr. William "Scott" Killgore's team at the University of Arizona College of Medicine – Tucson, backed by a $1.5 million Department of Defense grant, pioneers a portable virtual reality.
Researchers presented a groundbreaking app at the Society of NeuroInterventional Surgery's 20th Annual Meeting, using machine learning to detect physical signs of stroke.
UCLA Health researchers have developed machine learning models to enhance suicide-risk prediction in children, outperforming traditional methods used by health systems.
The way we use computers and technology is rapidly changing, here Paul Grosvenor, Director at Optima Systems Ltd explores the search engines of the future and how AI and ML will change the way we access information.
The dangers of AI are becoming increasingly more overt to governments and institutions globally. Experts at Oxford demonstrate the ‘profound risk’ of AI to humanity.
Researchers have completed an advanced brain map on an insect, aiding future brain research and neuroscience in the understanding of the mechanism of thought.
Illegal wildlife trade commonly takes place in online marketplaces on the internet, involving anything from advertising to selling live animals or animal products.
