A Design Architecture For Optically Broadband Programmable PICs Utilizing Micromechanical Resonances 


A technical paper titled “Synchronous micromechanically resonant programmable photonic circuits” was published by researchers at The MITRE Corporation, Massachusetts Institute of Technology, Sandia National Laboratories, University of Arizona, and Brookhaven National Laboratory. Abstract: "Programmable photonic integrated circuits (PICs) are emerging as powerful tools for the precise ... » read more

Research Bits: May 10


Growing 2D TMDs on chips Researchers from Massachusetts Institute of Technology (MIT), Oak Ridge National Laboratory, and Ericsson Research found a way to “grow” layers of 2D transition metal dichalcogenide (TMD) materials directly on top of a fully fabricated silicon chip, a technique they say could enable denser integrations. The researchers focused on molybdenum disulfide, which is f... » read more

Research Bits: April 10


Meminductor identified Researchers at Texas A&M University identified the meminductor circuit unit. Similar to the memristor and the memcapacitor, a meminductor has a memory-like nature where its properties are dependent on previous values. The resistor, capacitor, and inductor comprise the three classical circuit elements. The memristor and the memcapacitor, while earlier theorized, ha... » read more

Research Bits: Dec. 5


Protonic programmable resistors for AI Researchers from the Massachusetts Institute of Technology (MIT) developed an analog deep learning processor based on protonic programmable resistors arranged in an array. In the processor, increasing and decreasing the electrical conductance of protonic resistors enables analog machine learning. The conductance is controlled by the movement of protons... » read more

Research Bits: Nov. 21


Graphene heater for phase-change switches Researchers from the University of Washington, Stanford University, Charles Stark Draper Laboratory, University of Maryland, and Massachusetts Institute of Technology designed an energy-efficient, silicon-based non-volatile switch that manipulates light through the use of a phase-change material and graphene heater. Aiming to reduce the power consum... » read more

Research Bits: Nov. 7


ADC side-channel attacks Researchers at MIT propose two ways to protect analog-to-digital converters (ADCs) from power and electromagnetic side-channel attacks. The researchers first investigated the side-channel attacks that could be used against ADCs. Power attacks usually involve an attacker soldering a resistor onto the device’s circuit board to measure its power usage. An electromagn... » read more

Research Bits: Oct. 18


Modular AI chip Engineers at the Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Lawrence Berkeley National Laboratory, Korea Institute of Science and Technology, and Tsinghua University created a modular approach to building stackable, reconfigurable AI chips. The design comprises alternating layers of sensing and processing elements, along with LEDs t... » read more

Research Bits: Aug. 30


Through glass vias Researchers from the Chinese Academy of Sciences (CAS) developed a Through Glass Via (TGV) process for 3D advanced packaging, which they say enables low transmission loss and high vacuum wafer-level packaging of high-frequency chips and MEMS sensors. TGV is a vertical interconnection technology applied in wafer-level vacuum packaging. The researchers found that it has goo... » read more

Research Bits: Aug. 23


Algae-powered microprocessor Engineers from the University of Cambridge, Arm Research, Scottish Association for Marine Science, and Norwegian University of Science and Technology used a widespread species of blue-green algae to power an Arm Cortex M0+ microprocessor continuously for over a year. The algae, Synechocystis, is non-toxic and harvests energy from photosynthesis. The tiny electri... » read more

Research Bits: June 21


Side-channel protection for edge AI Researchers from the Massachusetts Institute of Technology built a chip that can defend against power side-channel attacks targeting machine learning computations in smartwatches, smartphones, and tablets. Side-channel attacks involve observing a facet of the device's operation, in this case power, to deduce secrets. “The goal of this project is to buil... » read more

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