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System Bits: July 30


A camera that sees around corners Researchers at Stanford University developed a camera system that can detect moving objects around a corner, looking at single particles of light reflected on a wall. “People talk about building a camera that can see as well as humans for applications such as autonomous cars and robots, but we want to build systems that go well beyond that,” said Gordon... » read more

Week in Review: IoT, Security, Autos


Products/Services Siemens announced that Mazda Motor adopted the Capital electrical design software suite from Mentor, a Siemens Business, for the design of next-generation automotive electrical systems. Mazda is said to use Capital for model-based generative design for the electrical and electronic systems of the entire vehicle platform. Synopsys will host the 11th annual Codenomi-con USA ... » read more

System Bits: July 23


Superconductivity seen in trilayer graphene Stanford University and University of California at Berkeley researchers discovered signs of superconductivity in stacking three-layer sheets of graphene, they report. “It’s definitely an exciting development,” says Cory Dean, a physicist at Columbia University. Dean notes that bilayer graphene superconducts only when the atomic lattices of ... » read more

Week in Review: IoT, Security, Auto


Products/Services Arm rolled out its Flexible Access program, which offers system-on-a-chip design teams the capability to try out the company’s semiconductor intellectual property, along with IP from Arm partners, before they commit to licensing IP and to pay only for what they use in production. The new engagement model is expected to prove useful for Internet of Things design projects and... » read more

System Bits: July 15


Automating bridge inspections with robotics The University of Waterloo has come up with robotics that could be used in automated inspection of bridges, making sure such critical infrastructure is safe and sound. The technology promises to make bridge inspection cheaper and easier. The system collects data for defect detection and analysis through a combination of autonomous robots, cameras,... » read more

Week in Review: IoT, Security, Auto


Products/Services Arteris IP reports that Bitmain licensed the Arteris Ncore Cache Coherent Interconnect intellectual property for use in its next-generation Sophon Tensor Processing Unit system-on-a-chip devices for the scalable hardware acceleration of artificial intelligence and machine learning algorithms. “Our choice of interconnect IP became more important as we continued to increase t... » read more

June’19 Startup Funding


During the month of June, there were 15 startups that brought in funding rounds of $100 million or more, as investors continued to chase deals in cybersecurity, automotive technology, semiconductors, and a variety of services. There were no billion-dollar deals as spring slid into summer; yet, those 15 companies together raised a total of about $3.13 billion. Aurora Innovation, the developer... » read more

System Bits: July 10


Light waves run on silicon-based chips Researchers at the University of Sydney’s Nano Institute and Singapore University of Technology and Design collaborated on manipulating light waves on silicon-based microchips to keep coherent data as it travels thousands of miles on fiber-optic cables. Such waves—whether a tsunami or a photonic packet of information—are known as solitons. The... » read more

Week in Review – IoT, Security, Auto


Products/Services Synopsys announced successful deployment of the Synopsys Yield Explorer yield learning platform for fast ramp-up of new products on Samsung's advanced finFET technology nodes. Using the secure data exchange mechanism in Yield Explorer, Samsung is able to share the data required for yield analysis, such as chip design, fab, and test, with its customers while maintaining the co... » read more

System Bits: July 3


CMU prof gets a shot at new supercomputer The National Energy Research Scientific Computing Center will greet its Perlmutter supercomputing system in early 2020. The Cray-designed machine will be capable of 100 million billion floating operations per second. Zachary Ulissi of Carnegie Mellon University will be among the first researchers to use the supercomputer. "When this machine comes on... » read more

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