Author's Latest Posts


Enabling Practical Processing in and near Memory for Data-Intensive Computing


Source: ETH Zurich and Carnegie Mellon University Talk at DAC 2019. Technical Paper link » read more

Copy-Row DRAM (CROW) : Substrate for Improving DRAM


Source/Credit: ETH Zurich & Carnegie Mellon University Click here for the technical paper and here for the power point slides » read more

U.S. Senate Report On The Equifax Breach


Source: U.S. Senate, Permanent Subcommittee On Investigations Committee on Homeland Security and Governmental Affairs Here's the link to the U.S. Senate report on the Equifax breach » read more

Machine Learning Based Prediction: Health Behavior on BP


Source: UC San Diego Jacobs School of Engineering, Po-Han Chiang and Sujit Dey, Mobile Systems Design Lab, Dept. of Electrical and Computer Engineering Using wearable off-the-shelf technology and machine learning, UC San Diego researchers have developed a method to predict an individual’s blood pressure and provide personalized recommendations to lower it based on this data. The resea... » read more

Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps (MIT)


Source: MIT CSAIL: Teddy Ort, Liam Paul, Daniela Rus According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, of... » read more

Silicon CMOS Architecture For A Spin-based Quantum Computer


Source: UNSW Sydney Authors: M. Veldhorst (1,2),  H.G.J. Eenink (2,3) , C.H. Yang (2), and A.S. Dzurak (2) 1 Qutech, TU Delft, The Netherlands 2 Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications,UNSW, Sydney, Australia 3 NanoElectronics Group, MESA+ Institute for Nanotechnology,University of Twente, The Netherlands Te... » read more

Making high-capacity data caches more efficient


Source: Researchers from MIT, Intel, and ETH Zurich Xiangyao Yu (MIT), Christopher J. Hughes (Intel), Nadathur Satish (Intel) Onur Mutlu (ETH Zurich), Srinivas Devadas (MIT) Technical Paper link MIT News article As the transistor counts in processors have gone up, the relatively slow connection between the processor and main memory has become the chief impediment to improving comp... » read more

How Neural Networks Think (MIT)


Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more

New AI algorithm monitors sleep with radio waves (MIT & Mass General)


Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi Monitoring sleep with AI To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Neural Adaptive Video Streaming with Pensieve (MIT-CSAIL)


Source:  MIT-CSAIL Hongzi Mao, Ravi Netravali, Mohammad Alizadeh For technical paper link, click here  and MIT's news here Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that ... » read more

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