Analyzing the potential of AlphaFold in drug discovery
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
Separating densely packed molecules before imaging allows them to become visible for the first time.
MIT scientists have discovered a population of neurons that light up whenever we see images of food.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
The peptide is used by legumes to control nitrogen-fixing bacteria; it may also offer leads for treating patients with too much heme in their blood.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
Engineers 3D print materials with networks of sensors directly incorporated.
More complete than existing methods, the new approach might enable longer operational lifetimes for nuclear reactors.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
The technique opens a door to manufacturing of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots.
New stamp-sized ultrasound adhesives produce clear images of heart, lungs, and other internal organs.
Researchers have found a material that can perform much better than silicon. The next step is finding practical and economic ways to make it.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
A new technique could improve the precision of atomic clocks and of quantum sensors for detecting dark matter or gravitational waves.