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Projects/Programs

Displaying 1 - 7 of 7

Emerging Hardware for Artificial Intelligence

Ongoing
Here is a brief description of our work with links to recent papers from our investigations, broadly classified as experimental and modeling. A brief overview of Josephson junction-based bio-inspired computing can be found in our review article. Experimental We have facilities to develop our devices

Hardware Accelerators for Neural Networks

Ongoing
One promising candidate for building a hardware accelerator comes from the field of spintronics, where information is carried by electronic spin rather than charge. Magnetic tunnel junctions are particularly suited because of their multifunctionality and compatibility with standard integrated

Hardware Accelerators for Statistical Computing

Ongoing
Finding good solutions to many hard problems, like combinatorial optimization and traveling salesman problems, counterintuitively requires making the estimated solution worse before making it better. This situation results from many hard problems having many “solutions” that cannot be improved

Integrated Testbeds for Advanced Metrology

Ongoing
Crossbar Memory Arrays An especially prolific structure in memory architectures aimed at accelerating neural network operation is the crossbar array (Fig. 1). We produce medium-scale arrays that hold up to 20,000 nanodevices which can be characterized, read from, and written to individually or in

Prototyping Platforms for Emerging Technologies

Ongoing
Emerging technologies aim to overcome traditional memory limitations with higher density, lower power consumption, faster read/write speeds, better endurance, and lower cost [2]. Many new candidate memory elements are analog or stochastic, requiring new testing infrastructure, and the context of

Spintronics for Neuromorphic Computing

Ongoing
Magnetic tunnel junctions (see Fig. 1) consist of two thin films of ferromagnetic material separated by a few atomic layers of an insulating material. The insulator is so thin that electrons can tunnel quantum mechanically through it. The rate at which the electrons tunnel is affected by the

Temporal Computing

Ongoing
In standard integrated circuits, information that is coded as ones and zeros is implemented by voltages on wires being high or low. The circuits consume energy during transitions between these voltages. Binary numbers have a voltage per bit so there are a lot of transitions each time a number