Research Bits: May 19


Programmable PIC Researchers from the University of Washington designed a low-power programmable photonic integrated circuit that is electrically reconfigurable and can be mass-produced. “This optical chip could help to accelerate the prototyping cycle while reducing power consumption for applications like AI computing. Our study is also the first time someone has shown that these kinds o... » read more

Silicon Photonics: Integrated Grating-Based Antennas for Optical Phased Arrays (MIT)


A new technical paper, "Reduced-crosstalk antennas for grating-lobe-free and wide-field-of-view integrated optical phased arrays," was published by researchers at MIT. Abstract "Integrated optical phased arrays (OPAs) have emerged as a promising technology for many applications due to their ability to dynamically control free-space optical beams in a compact and non-mechanical manner. How... » read more

GPU Power Prediction Tool for AI Workloads (MIT, IBM)


A new technical paper, "EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads," was published by researchers at MIT and IBM Research. Abstract "As AI workloads drive increases in datacenter power consumption, accurate GPU power estimation is critical for proactive power management. However, existing power models face a scalability bottleneck not in the modeling tec... » read more

Research Bits: May 5


AI power prediction Researchers from MIT and the MIT-IBM Watson AI Lab developed a prediction tool that can quickly tell data center operators how much power will be consumed by running a particular AI workload on a certain processor or AI accelerator chip. It can be applied to a wide range of hardware configurations. The lightweight estimation model captures the power usage pattern of a GP... » read more

Research Bits: Apr. 28


Parchment papertronics Researchers from Binghamton University used commercial parchment paper, commonly used in baking, along with a standard carbon dioxide laser and water-based conductive ink to create disposable, single-use electronic circuits. The laser selectively removes the paper's thin silicone coating in specific patterns, exposing the water-absorbing cellulose fibers underneath. T... » read more

Why Co-Packaged Optics Should be Viewed as an Architectural Commitment (UW-Madison, MIT et al.)


A new technical paper, "3D optoelectronics and co-packaged optics: when solving the wrong problems stalls deployment," by the University of Wisconsin, MIT, and Invictus Innovation EV Technology. Abstract "The rapid growth of AI and accelerator-driven workloads is forcing a fundamental rethinking of optical interconnect architectures in datacenters. Co-packaged optics and three-dimensional... » read more

Research Bits: Mar. 31


2D hard mask material Researchers from Penn State University and University of Chemistry and Technology Prague propose using the 2D material chromium oxychloride (CrOCl) as a hard mask, because its layered structure is resistant to plasma etching and enables it to be an effective mask at smaller thicknesses. “This 2D material is like lasagna. It’s a layer-by-layer structure,” said Zih... » read more

Research Bits: Mar. 17


Photonic ski jumps Researchers from Massachusetts Institute of Technology (MIT), MITRE, University of Arizona, and Sandia National Laboratories developed a new class of photonic devices that enable the precise broadcasting of light from a chip into free space. The chip uses an array of microscopic structures that curl upward, resembling tiny ski jumps, and allows control over how light is e... » read more

Research Bits: Feb. 9


Computing with heat Researchers from the Massachusetts Institute of Technology (MIT) designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. The device was created using a software system that automatically designs a material that can conduct heat in a specific manner. The inverse design technique allowed the researchers to... » read more

Physical Modeling and Benchmarking for 2T-SOT-MRAM (Georgia Tech, MIT, Cornell)


A new technical paper titled "Modeling and Optimization of Two-Terminal Spin-Orbit-Torque MRAM" was published by researchers at Georgia Institute of Technology, MIT, and Cornell University. Abstract "This paper presents physical modeling and benchmarking for two-terminal spin-orbit torque magnetic random-access memory (2T-SOT-MRAM). The results indicate that the common SOT materials that ... » read more

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