tag: MIT

System Bits: Aug. 21
By Ann Mutschler - 21 Aug, 2018 - Comments: 0

Two types of computers create faster, less energy-intensive image processor for autonomous cars, security cameras, medical devices Stanford University researchers reminded that the image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence. These are the computers that essentially teach themselves to recognize objects like a dog, ... » read more

A Review of Silicon Photonics
By Michael Hargrove - 20 Aug, 2018 - Comments: 0

With the end of Moore’s Law rapidly approaching—some say it's already here—new applications of older technologies are gaining attention. One specific area of interest is photonics. The National Center for Optics and Photonic Education defines photonics as the technology of generating and harnessing light and other forms of radiant energy whose quantum unit is the photon. It can also be... » read more

Memory Startups To Watch
By Mark LaPedus - 16 Aug, 2018 - Comments: 0

The next-generation memories are finally ramping up after years’ of delays and promises. Intel, for one, is shipping 3D XPoint, a next-generation technology based on phase-change memory. In addition, the big foundries are readying embedded MRAM. And, of course, there are a number of other players in the next-generation memory arena. There are also a number of startups that are flying un... » read more

System Bits: Aug. 14
By Ann Mutschler - 14 Aug, 2018 - Comments: 0

Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

Power/Performance Bits: Aug. 14
By Jesse Allen - 14 Aug, 2018 - Comments: 1

All-optical logic Researchers from Aalto University developed multifunction all-optical logic gates using a network of nanowires. To build the nanostructure, the team assembled two different semiconductor nanowires, indium phosphide and aluminum gallium arsenide. The nanowires have a unique one-dimensional structure, which allows them to function like nanosized antennas for light. Using ... » read more

System Bits: July 31
By Ann Mutschler - 31 Jul, 2018 - Comments: 0

Computers that perceive human emotion As part of the growing field of “affective computing,” MIT researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. Affective computing uses robots and computers to analyze facial expressions, interpret emotions, and respond accordingly. Applications include, for ... » read more

System Bits: July 24
By Ann Mutschler - 24 Jul, 2018 - Comments: 0

Computers that mimic the human brain According to a group of researchers led by the Jülich Research Centre in Germany, a computer built to mimic the brain’s neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research. The custom-built computer named SpiNNaker, which the team said has been tested for ac... » read more

Five DAC Keynotes
By Brian Bailey - 17 Jul, 2018 - Comments: 0

The ending of Moore's Law may be about to create a new golden age for design, especially one fueled by artificial intelligence and machine learning. But design will become task-, application- and domain-specific, and will require that we think about the lifecycle of the products in a different way. In the future, we also will have to design for augmentation of experience, not just automation... » read more

System Bits: July 16
By Ann Mutschler - 16 Jul, 2018 - Comments: 0

Test tube AI neural network In a significant step towards demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, Caltech researchers have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work was done in the laboratory of Lulu Qian, assistant p... » read more

System Bits: July 10
By Ann Mutschler - 10 Jul, 2018 - Comments: 0

Foldable electronic switches and sensors Using inexpensive materials, UC Berkeley engineers have created a method to fabricate foldable electronic switches and sensors directly onto paper, along with prototype generators, supercapacitors and other electronic devices for what they said is a range of applications. Besides the fact that it is readily available and low cost, the team pointed ou... » read more

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