An analog focal-plane processor having a 128 128 photodiode array has been developed for directional edge filtering. It can perform 4 4-pixel kernel convolution for entire pixels only with 256 steps of simple analog processing.Newly developed cyclic line access and row-parallel processing scheme in conjunction with the "only-nearest-neighbor interconnects" architecturehas enabled a very simple implementation. A proof-of-conceptchip was fabricated in a 0.35-m 2-poly 3-metal CMOS technology and the edge filtering at a rate of 200 frames/sec.
Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. Microsoft Word may be the 800-pound gorilla of word processors, but that doesn't necessarily make it the best. It's slow, bloated, and expensive and lacks many modern features like autosave, document versioning, and access to iCloud. Plus, if you're doing any kind of long-form writing with multiple chapters, it doesn't have any organization system – so good luck keeping all your stories straight while you're writing the great American novel. If you're looking to upgrade to a more user-friendly word processor, the Nisus Writer Pro might be a good place to start.
The race to deliver a seven-nanometer chip is heated, and Huawei has just proclaimed itself the winner. The company just unveiled its Kirin 980 CPU here at IFA 2018, and says it is the world's first commercial 7nm system-on-chip (SoC). But that's not the new processor's only claim for the record books: The 980 is also the first to use Cortex-A76 cores, dual neural processing units, the Mali G76 GPU, a 1.4 Gbps LTE modem as well as support faster RAM. Manufactured with Taiwan Semiconductor Manufacturer Company's (TSMC) 7nm process, the Kirin 980 uses a new octa-core architecture that mixes big, little and medium cores for more efficiency. The two big cores run at 2.6GHz and kick in when taxing tasks like gaming are in progress.
During the I/O 2018 Keynote, Google announced the release of its new TPU 3.0 chip. Following a string of demonstrations of the power of machine learning, including Smart Compose for Gmail and intelligent editing suggestions in Google Photos, Sundar Pichai took a moment to put the spotlight on the new chip that brings these possibilities to life. 'Tensor processing units' or TPUs are the hardware components that enable most of Google's AI and machine learning capabilities, including AlphaGo. These TPUs can be leased to developers though Google Cloud. The third-generation Tensor processing unit has 8 times the performance of the previous generation, the new chips are so powerful that Google had to add liquid cooling to their data centers to compensate for the additional heat.