Chip Industry Week In Review


Check out our new Inside Chips podcast. President Trump’s ‘Liberation Day’ tariffs were announced this week. The executive order stated that semiconductors and copper imports are not directly subject to the reciprocal tariff, although the exemption may be short-lived. Semiconductor equipment and tools were not mentioned, leaving the industry searching for clarification. Regardless, hig... » read more

Research Bits: Jan. 28


Optical memory unit Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables temporary data storage in optical processing systems. It is modeled after a set-reset latch. The integrated programmable photonic latch is based on optical universal logic gates using silicon photonic micro-ring modulators and can be implemented in co... » read more

Roadmap To Neuromorphic Computing (Collaboration of 27 Universities/Companies)


A technical paper titled “Roadmap to Neuromorphic Computing with Emerging Technologies” was published by researchers at University College London, Politecnico di Milano, Purdue University, ETH Zurich and numerous other institutions. Summary: "The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, ana... » read more

Chip Industry’s Technical Paper Roundup: May 16


New technical papers recently added to Semiconductor Engineering’s library: [table id=103 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

Recent Developments in Neuromorphic Computing, Focusing on Hardware Design and Reliability


A new technical paper titled "Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies" was published by researchers at Univ. Lyon, Ecole Centrale de Lyon, Univ. Grenoble Alpes, Hewlett Packard Labs, CEA-LETI, and Politecnico di Torino. Abstract "The field of neuromorphic computing has been rapidly evolving in recent years, with an incre... » read more

Differentiable Analog Nonvolatile CAM (dCAM) Using Memristors


Technical paper titled "Differentiable Content Addressable Memory with Memristors" from researchers at Hewlett Packard Labs and University of Hong Kong. Abstract "Memristors, Flash, and related nonvolatile analog device technologies offer in-memory computing structures operating in the analog domain, such as accelerating linear matrix operations in array structures. These take advantage of ... » read more

Week In Review: Design, Low Power


EnSilica listed on the London Stock Exchange's AIM market under the ticker ENSI. EnSilica designs mixed signal ASICs for system developers in the automotive, industrial, healthcare, and communications markets. It also has a portfolio of core IP covering cryptography, radar and communications systems. AIM is the LSE’s market for small and medium sized growth companies. "In connection with Admi... » read more

Power/Performance Bits: Sept. 21


Catching switches in action Researchers from SLAC National Accelerator Laboratory, Stanford University, Hewlett Packard Labs, Penn State University, and Purdue University observed atoms moving inside an electronic switch as it turns on and off, revealing a state they suspect could lead to faster, more energy-efficient devices. "This research is a breakthrough in ultrafast technology and sci... » read more

Mapping The Impact Of Heat On Photonics


Heat and various types of noise can disrupt optical signals in silicon photonics applications, pushing light into frequencies that generally are filtered out. Unless those filters are adjusted, data may be lost or incomplete, and in the case of streaming data it may be impossible to reconstruct. But predicting when and how physical effects will affect light isn't always obvious, which makes ... » read more

Integrating Memristors For Neuromorphic Computing


Much of the current research on neuromorphic computing focuses on the use of non-volatile memory arrays as a compute-in-memory component for artificial neural networks (ANNs). By using Ohm’s Law to apply stored weights to incoming signals, and Kirchoff’s Laws to sum up the results, memristor arrays can accelerate the many multiply-accumulate steps in ANN algorithms. ANNs are being dep... » read more

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