tag: Oak Ridge National Laboratory

Chiplets Enter The Supercomputer Race
By Mark LaPedus - 17 Mar, 2022 - Comments: 0

Several entities from various nations are racing each other to deliver and deploy chiplet-based exascale supercomputers, a new class of systems that are 1,000x faster than today’s supercomputers. The latest exascale supercomputer CPU and GPU designs mix and match complex dies in advanced packages, adding a new level of flexibility and customization for supercomputers. For years, various na... » read more

Manufacturing Bits: Feb. 15
By Mark LaPedus - 15 Feb, 2022 - Comments: 0

Strong plastics The Massachusetts Institute of Technology has developed a new material that is stronger than steel but is light as plastic. The new material, which can be made in large quantities, involves a two-dimensional polymer that self-assembles into sheets. The material’s Young modulus—or a measure of how much force it takes to deform a material—is between four and six times gr... » read more

Manufacturing Bits: Feb. 7
By Mark LaPedus - 07 Feb, 2022 - Comments: 0

Design tools for solid-state batteries Oak Ridge National Laboratory has devised a new tool designed to accelerate the development of energy-dense solid-state batteries. The tool, called the Solid-State Battery Performance Analyzer and Calculator (SolidPAC), enables researchers to assess the impact of battery designs and choice of cell components for solid-state batteries. It can be used to... » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 19 Nov, 2021 - Comments: 0

Chipmakers China’s Tsinghua Unigroup is in trouble. The group is the parent company of China’s YMTC, a 3D NAND supplier, and other chip ventures. It is close to moving into bankruptcy proceedings. Now, a consortium led by Alibaba has emerged as the frontrunner to take over Tsinghua Unigroup, according to a report from Bloomberg. That deal would keep the company afloat, the report said. ... » read more

Manufacturing Bits: Sept. 14
By Mark LaPedus - 14 Sep, 2021 - Comments: 0

Probabilistic computers Sandia National Laboratories and others are developing what researchers call a probabilistic computer. Instead of traditional computing, Sandia is developing a system with built-in randomness that computes information differently every time. As part the research program, the Department of Energy awarded the project $6 million over the next three years to develop t... » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 02 Jul, 2021 - Comments: 0

Chipmakers and OEMs More delays and product woes at Intel. “INTC disclosed that it is delaying the launch of its next-generation Xeon server processor Sapphire Rapids (10nm) from the end of this year to 1Q22 due to additional validation needed for the chip,” said John Vinh, an analyst at KeyBanc, in a research note. “Production is expected to begin in 1Q22, with the ramp expected to begi... » read more

Manufacturing Bits: March 30
By Mark LaPedus - 30 Mar, 2021 - Comments: 0

Open access quantum computing Sandia National Laboratories has begun offering an open access program for its quantum computing testbed. Sandia will enable researchers to explore a range of new technologies, such as chemistry, materials science and mathematics, using its so-called Quantum Scientific Computing Open User Testbed (QSCOUT). Quantum computers promise to solve problems that are to... » read more

Manufacturing Bits: March 16
By Mark LaPedus - 16 Mar, 2021 - Comments: 0

Tripping up neural networks For years, Russia has been an active area in R&D. In one example, Russia's Skolkovo Institute of Science and Technology (Skoltech) has demonstrated how certain patterns can cause neural networks to make mistakes in recognizing images. Leveraging the theory behind this research, Skoltech can design defenses for pattern recognition systems that are vulnerable t... » read more

Power/Performance Bits: Feb. 2
By Jesse Allen - 02 Feb, 2021 - Comments: 0

MXene antennas Researchers at Drexel University and Villanova University developed spray-on antennas made of the 2D materials MXene that is flexible and light while maintaining good signal. "This combination of communications performance with extreme thinness, flexibility and durability sets a new standard for antenna technology," said Yury Gogotsi, professor of Materials Science and Engine... » read more

Power/Performance Bits: Jan. 26
By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

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