The advance offers a way to characterize a fundamental resource needed for quantum computing.

Scientists tune the entanglement structure in an array of qubits

A new chip can efficiently accelerate machine-learning workloads on edge devices like smartphones while protecting sensitive user data from two common types of attacks — side-channel attacks and bus-probing attacks. Image: Chip figure courtesy of the researchers; MIT News; iStock.

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

MIT and other researchers developed a framework that models irrational or suboptimal behavior of a human or AI agent, based on their computational constraints. Their technique can help predict an agent’s future actions, for instance, in chess matches. Image: iStock

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

To build a better AI helper, start by modeling the irrational behavior of humans

MIT researchers developed an algorithm that can automatically select the best shortcuts for a robot to take on its way to a destination that will reduce the overall travel time while limiting the likelihood that the robot will meet an impassable obstacle. Image: Jose-Luis Olivares, MIT; iStock

A new algorithm reduces travel time by identifying shortcuts a robot could take on the way to its destination.

Researchers help robots navigate efficiently in uncertain environments

This illustration shows electric current being pumped into platinum (the bottom slab), which results in the creation of an electron spin current that switches the magnetic state of the 2D ferromagnet on top. The colored spheres represent the atoms in the 2D material. Image: Courtesy of the researchers

An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.

Researchers harness 2D magnetic materials for energy-efficient computing

MIT researchers modified a multi-material 3D printer so it could produce three-dimensional solenoids in one step by layering ultrathin coils of three different materials. It prints a U.S. quarter-sized solenoid as a spiral by layering material around the soft magnetic core, with thicker conductive layers separated by thin insulating layers. Image: Courtesy of the researchers

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Scientists tune the entanglement structure in an array of qubits

This tiny chip can safeguard user data while enabling efficient computing on a smartphone

To build a better AI helper, start by modeling the irrational behavior of humans

Researchers help robots navigate efficiently in uncertain environments

Researchers harness 2D magnetic materials for energy-efficient computing

Engineers 3D print the electromagnets at the heart of many electronics