Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Synopsys will acquire Ansys for about $35 billion in cash and stock. The deal will boost Synopsys' multi-physics simulation capabilities, which are essential for complex 3D-IC designs, where thermal density can have significant repercussions. The acquisition is expected to be finalized in the first half of 2025. Worldwide semiconductor revenue ... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Japan's Rapidus and the University of Tokyo are teaming up with France's Leti to meet its previously announced mass production goal of 2nm chips by 2027, and chips in the 1nm range in the 2030s. Rapidus was formed in 2022 with the support of eight Japanese companies — Sony, Kioxia, Denso, NEC, NTT, SoftBank, Toyota, and Mitsubishi's banking arm, ... » read more

Multiple Hurdles In The Race To 6G


The rollout of 6G will open the door to significant changes and possibilities, but whether this technology lives up to the hype will require massive collaborative efforts, huge investments in infrastructure, and solving some problems for which there are no precedents. Multiple companies are already working on 6G technology, aiming for a maximum download speed of one terabit per second (Tb/s)... » read more

Week In Review: Auto, Security, Pervasive Computing


North Americas’s first zero-emission hydrogen-powered “Train de Charlevoix” will start running in Canada this summer, with speeds up to 85 mph, only emitting water vapor. Germany rolled out the world’s first passenger train fleet in 2022. The U.S. Department of Energy announced the availability of $750 million for R&D to further clean hydrogen technologies, part of the Biparti... » read more

Using Silicon Photonics To Reduce Latency On Edge Devices


A new technical paper titled "Delocalized photonic deep learning on the internet’s edge" was published by researchers at MIT and Nokia Corporation. “Every time you want to run a neural network, you have to run the program, and how fast you can run the program depends on how fast you can pipe the program in from memory. Our pipe is massive — it corresponds to sending a full feature-leng... » read more

Chipmakers Model AI For Radio Access Networks


The chips that power and connect smartphones are now foundational to a disparate portfolio of daily tasks we take for granted, from accessing the internet to snapping a photo or asking Siri or Google if rain is in the forecast. Most people don’t think twice about the conflicting demands these tasks can place on semiconductors, but for engineers at leading chip manufacturers, this balancing ac... » read more

Week In Review: Design, Low Power


Quantum Computing Researchers in China are putting a damper on Google’s claims of achieving quantum supremacy after they were able to use normal processors to complete a difficult calculation in a few hours. Sycamore, Google’s quantum computer, completed the same calculation in a few minutes back in 2019, but the company said it would take a supercomputer more than 10,000 years to do the... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing, connectivity Semtech Corporation announced that it will acquire Sierra Wireless, an IoT services company. The acquisition will combine Semtech’s LoRa end nodes and cloud service with Sierra Wireless’ cellular capabilities. Telit will incorporate Thales’s cellular IoT products business under a new name Telit Cinterion, led by Telit. Telit Cinterion will be Californ... » read more

Wafer Shortage Improvement In Sight For 300mm, But Not 200mm


The supply chain for bare wafers is off-kilter. Demand is appreciably higher than the wafer suppliers can keep up with, creating shortages that could last for years. For 300mm starting wafers, the top five big players — SEH and Sumco of Japan, Siltronic of Germany, GlobalWafers of Taiwan, and SK Siltron of Korea — finally took action over the last year, spending billions on new wafer fac... » read more

Wavelength Multiplexed Ultralow-Power Photonic Edge Computing


Abstract "Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors -- and this trend is accelerated by the simultaneous move towards Internet-of-Things (IoT) devices. Numerous efforts are underway to lower power consumption, but ... » read more

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