For Daron Acemoglu, who has long studied technology’s impact on society, a key question about AI is whether we can shape it to aid workers rather than just replacing jobs. He asks: “Where will the new tasks for humans with generative AI come from?”

Opening in February, the Edward and Joyce Linde Music Building will “give MIT musicians the conservatory-level tools they deserve,” President Sally Kornbluth says. Each of its elements has been constructed to create an ideal environment for music.

This “Shark Tank” alumna is changing the diaper game: Amrita Saigal ’10 is the founder of Kudos, which has created the first 100% cotton-lined disposable diaper.

DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could lead to more fuel-efficient cars and electric vehicles with longer range.

A new method using generative AI produces sharp, lifelike 3D shapes that are closer in quality to the best model-generated 2D images. The system could be “a co-pilot for designers, making it easier to create more realistic 3D shapes,” Artem Lukoianov says.

A new photonic processor uses light to perform the key operations of a deep neural network on a chip. The advance opens the door to ultrafast AI computations with extreme energy efficiency, for demanding applications like lidar, astronomical research, and navigation.