Week In Review: Design, Low Power


Tools, IP, chips Synopsys unveiled a new data-visibility and machine intelligence-guided design optimization solution. DesignDash is complementary to the company's DSO.ai AI-driven design-space-optimization tool and provides a real-time, unified, 360-degree view of all design activities. It uses deep analytics and machine learning to extract and reveal actionable understanding from large amoun... » read more

Week In Review: Manufacturing, Test


Worldwide fab equipment spending for front-end manufacturing is expected to hit $107 billion this year, an 18% year-over-year increase, according to SEMI’s latest World Fab Forecast report. “Crossing the $100 billion mark in spending on global fab equipment for the first time is a historic milestone for the semiconductor industry,” said Ajit Manocha, president and CEO of SEMI. Investme... » read more

Chiplets Enter The Supercomputer Race


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


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


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


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


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


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


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


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

← Older posts Newer posts →