Solving the challenges of robotic pizza-making
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
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A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
The machine-learning model could help scientists speed the development of new medicines.
The new observations record a key crossover from classical to quantum behavior.
A new machine-learning system helps robots understand and perform certain social interactions.
A cyber systems expert at Lincoln Laboratory, Okhravi will help investigate bold solutions to fundamental cyber vulnerabilities.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Reversible system can flip the magnetic orientation of particles with a small voltage; could lead to faster data storage and smaller sensors.
Studying these organoids could help researchers develop and test new treatments for pancreatic cancer, one of the deadliest types of cancer.
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
The advance could boost recommendation algorithms and internet search.
“Organs-on-a-chip” system sheds light on how bacteria in the human digestive tract may influence neurological diseases.
The design, which uses entangled atoms, could help scientists detect dark matter and study gravity’s effect on time.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.