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| Use AI to manage valuable spectrum |
10/23/2019 |
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From the earliest days of wireless, the dominant way of managing the spectrum has been through an exclusive license, where a government grants access of a certain range of frequencies to a single licensee. As the wireless spectrum is indelibly finite, this makes spectrum a scarce and valuable commodity.
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| Google's Pixel 4 smartphone comes with a mini radar |
10/22/2019 |
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Combining Soli radar chips with Google’s home-grown machine learning and newly created big database, Google set its sights high to develop a new man-machine interface that can be pervasively applied to a variety of devices from watches, glasses and lighting to commercial and industrial systems.
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| 28nm PowerMiser low power SRAM IP is now available |
10/21/2019 |
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At the 28FDS process node, the single port PowerMiser supports a wide operating voltage range from 0.7V to 1.2V and demonstrates 50% dynamic and 20% leakage power savings of competitive offerings, depending on operating conditions.
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| Samsung to host foundry forum in Silicon Valley |
10/21/2019 |
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Named as Samsung Advanced Foundry Ecosystem, or SAFE, the forum has been designed to provide an opportunity for Samsung’s partner companies to directly meet with customers and discuss comprehensive design technology infrastructure -- including electronic design automation, intellectual property, cloud, design service, and packaging.
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| TSMC increased Capex due to 5G |
10/21/2019 |
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The company, which said demand has soared for 7 nm, boosted its 2019 capex by half from an original target of about $10 billion. Approximately $1.5 billion of the new budget is allocated for increased production of 7 nm chips and $2.5 billion is allocated for 5 nm, which is slated for commercial production in the first half of 2020.
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| Implantable computer interface allows tetraplegic to walk again |
10/21/2019 |
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The implant has enabled a 28-year old tetraplegic patient to walk and control both arms using a brain computer interface and exoskeleton. In the long term, this technology is expected to give greater mobility to individuals with severe motor disabilities.
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| ARM opens up instructional set architecture |
10/18/2019 |
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After decades of tight control over the Arm instruction set architecture (ISA), Arm has finally decided that it can allow its licensees to build their own custom instructions, which are often useful to accelerate specialized workloads.
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| Taiwan start-ups aim at bringing digital healthcare technologies to the United States |
10/18/2019 |
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The forum brought nine start-ups — Reliance Biosciences; FaceHeart; Aesop Technology: Heroic-Faith Medical Sciences; Summed Taiwan; AHEAD; RiCHE Biotech; Arvin Bio-Medical Research and MTAMTech Corp. — together with venture investors, technology developers and potential end-users. The companies have created solutions that advance the digital healthcare market through AI, data analytics, and materials or manufacturing break-throughs.
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| Huawei reports revenue gain of 24% over 9 months |
10/17/2019 |
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Huawei, the world’s biggest maker of telecom network equipment and the No. 2 manufacturer of smartphones, was all but banned by the United States in May from doing business with American companies, significantly disrupting its ability to source key parts.
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| Apple said to release 5G modem by 2022 |
10/16/2019 |
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According to Fast Company, Apple's 5G modem development will be led by Esin Terzioglu, a former Qualcomm executive who joined Apple in 2017, and will be based in San Diego. Apple previously announced plans to open an office in San Diego and hire up to 1,000 new employees there over the coming years.
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| Can AI create arts ? |
10/16/2019 |
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Reinforcement learning is a form of unsupervised learning. During training, a second AI agent called the discriminator provides feedback on the results to allow the creating agent to learn. In an image generation context, the discriminator might compare the generated image to the training data and give feedback on whether it could tell the difference. This feedback might be a score which quantifies how difficult it was to tell the difference between the generated image and the training dataset.
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