Nanoscale mechanics could enable brain-inspired computing
A new device uses reconfigurable motion to mimic the firing behavior of a neuron, which could lead to more efficient computing.
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Defense Advanced Research Projects Agency (DARPA)
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Fabrication platform could enable flexible, transparent next-generation photonic chips
This scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.
New type of attack can slip past the defenses in your computer’s processor
MIT CSAIL researchers found a way to exploit a split-second gap in chip security — and used it to acquire a Linux system’s password file.
Turning molecules into reliable electronic devices
A new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.
Improving the speed and energy-efficiency of AI agents
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
To study how chips really work, MIT researchers built their own operating system
A new kernel called Fractal gives researchers a cleaner view of what’s happening inside a processor, and has already surfaced previously unknown behavior in Apple’s M1.
Teaching AI agents to ask better questions by playing “Battleship”
MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.
Mapping molecular markers of physical fitness
A new study reveals cellular pathways that appear to underlie some differences in physical fitness.
Helping data centers deliver higher performance with less hardware
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
Evaluating the ethics of autonomous systems
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
Guided learning lets “untrainable” neural networks realize their potential
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
A “scientific sandbox” lets researchers explore the evolution of vision systems
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Enabling small language models to solve complex reasoning tasks
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
MIT physicists improve the precision of atomic clocks
A new method turns down quantum noise that obscures the “ticking” of atoms, and could enable stable, transportable atomic clocks.
MIT engineers develop a magnetic transistor for more energy-efficient electronics
A new device concept opens the door to compact, high-performance transistors with built-in memory.