MIT researchers unveil VaxSeer, an AI tool that accurately predicts dominant flu strains and optimizes vaccine design months ahead, outperforming WHO selections in a 10-year study by simulating virus evolution and vaccine responses using deep learning models.
South Korea combats senior loneliness by distributing AI robots called Hyodol that act as companions and monitors, allowing elderly residents to form bonds but raising some privacy concerns.
China unveils ambitious 5-year plan to accelerate development of brain-computer interface technology, aiming to create groundbreaking medical devices and consumer products that directly link the brain to computers, with Chinese companies already testing BCI implants in patients.
Elon Musk's Neuralink brain chip recipient Noland Arbaugh plays Mario Kart and plans to start a business 18 months after surgery, regaining autonomy through the brain-computer interface that allows him to control technology independently.
Fitbit unveils an AI health coach within its Premium subscription that provides personalized fitness plans, sleep guidance, and answers health queries based on user data, launching in October with a preview for U.S. users now.
Eight Sleep raises $100M to advance its AI-powered smart mattresses that track and enhance sleep quality globally, with plans to accelerate growth in the medical sector and expand internationally.
In a groundbreaking initiative, Bill Gates offers a $1 million prize for global innovators to leverage artificial intelligence in developing solutions to accelerate Alzheimer's disease research, with the resulting tools to be made publicly available.
Eight Sleep raises $100 million to develop the world's first AI-powered Sleep Agent, optimize sleep through AI, expand into medical applications like menopausal sleep and sleep apnea, and drive global growth including China.
Researchers harness AI to uncover abaucin, a groundbreaking antibiotic disrupting lipoprotein trafficking, offering a potent weapon against drug-resistant Acinetobacter baumannii bacteria, sparking hope for treating stubborn wound infections.
Despite their sophistication, state-of-the-art deep learning models fail to surpass simple baseline methods in accurately predicting gene expression changes caused by genetic perturbations, with higher errors observed for complex models, particularly in cases of double gene perturbations.