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Ever since its inception in 1972 by Gerard G. Leeds, EETimes has been serving the engineering community with a dedicated passion for the industry. EETimes delivers the latest news, articles, special reports, and features to cover every facet of today’s challenging and disruptive technologies, software, and components.
Just in time for this electronica, EETimes has re-launched its european print magazine with a special issue for the show.
Our team of editors has brought together the latest in engineering journalism and articles to keep you up to speed with the state of the art in the electronic engineering industry.
Pick up a copy at electronica, download your digital copy or take a look at the online version and check out the latest in:
- Industrial IoT
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- Embedded Systems
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- DHS Creates ICT Supply Chain Risk Management Task Force November 21, 2018
- AMD Raises Hopes, Concerns at 7 nm November 21, 2018AMD’s 7-nm Epyc and Vega are raising hopes of lower prices for high-end CPUs and GPUs among users also irked by poor software for GPU computing.
- China Comes Down to Earth at CEO Summit November 21, 2018
- Translators Wanted November 20, 2018
- AI, 5G, Big Memories Define ISSCC November 20, 2018Samsung and Intel will describe 5G/LTE chips, Samsung will show a deep-learning core for handsets, and Toshiba will detail a 1.33-Tbit NAND chip at ISSCC.
- Keyssa Turns on TV, Virtual I/O November 20, 2018Startup Keyssa described a half-dozen design wins shipping in 2019 as well as a new virtual I/O capability for its 60-GHz wireless connector.
- Highlights of electronica 2018 November 20, 2018
- P4 Goes Live on Broadcast Networks November 19, 2018
- Mobileye’s New EyeQ5: How Open is Open? November 19, 2018Mobileye is aggressively shedding its reputation as a one-trick vision chip supplier. Its roadmap ranges from an “open” EyeQ5 chip (allowing third-party codes to run) to a complete subsystem, a turnkey robo-taxi system and applications for ride-hailing businesses.
- EE Times Silicon 60 November 19, 2018EE Times’ 19th revision of the Silicon 60, our annual list of startups to watch, documents the definitive rise of machine learning as a form of hardware-supported computing.