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VueReal Inc., a provider of next-generation high-efficiency nano devices announced shipment of their patented self-sorting microdisplays from June 2019. The company will soon start accepting orders for exporting their product samples to clients and interested parties. The major setback faced by current micro-LED manufacturers occurs due to limited scalability. The surface mount technology (SMT) placement equipment approach has narrowed down the throughput as long hours are required to assemble a single large display screen with subpixels. The low value of performance directly causes an elevation in manufacturing cost and as a result, makes micro-LED a luxury item. However, VueReal had made it possible to plug tens of millions of individual micro and nano-LEDs into a precise location in a brief period of time. VueReal's unique  manufacturing technique  increases the efficiency of mass integration of micro and nanodevices taking their scalability up a notch. VueReal also promises to build high-efficiency nano-chips without compromising the performance and integrity of the product. VueReal has set a new benchmark for other digital chip manufacturing companies by introducing a pre-screening monitoring process which helps in manufacturing high yields with zero-defects. Focus on the development of core and practical technologies that revolve around and eliminate the risk associated with the production of micro-LEDs have been the prime motto for Dr. Reza Chaji, CEO of VueReal. The company is in a developmental stage of various key components and products, which possess the potential to change the faith of micro and nano-LED markets. The introduction of adaptive patterning technologies, high efficient micro-LEDs, smart microdevice cartridge structure, as well as their high throughput micro-printing equipment are expected to create a true-life viewing experience. Dr. Ehsan Fathi, VP of Device Technology at VueReal have confirmed that by producing a >30,000 pixel per inch (PPI) micro-LED array they have broken their world record of 6600 PPI set in 2017. Dave Miller, VueReal CFO has invested in advanced nanotechnology for development and volumetric increase in the production process. The samples offered to selected parties will significantly increase the business opportunities and drive them towards providing world-class service. Check This Out:  The Manufacturing Outlook ...Read more
FREMONT, CA: Auterion recently entered into an agreement with Impossible Aerospace to unveil the all-new US-1 unmanned aerial vehicle (UAV). The drone has a flight time of two hours. Auterion leverages global industry standards to develop open-source enterprise operating systems for drones. Impossible Aerospace , a Silicon Valley-based manufacturer of high-performance UAVs, has the mission to develop the highest quality electric aircraft for safety and law enforcement organizations. The company is backed by Bessemer Venture Partners, Airbus Ventures, and Eclipse ventures.  Safety incidents require immediate response, but it can be often hindered by the lack of visual information and support. Hence, the real-time intelligence and data from drones are vital during public emergencies to keep the control centers up to date with the developments to organize the safety operations. The two-hour flight duration will enhance safety operations, providing a seamless stream of data supply. The auditable and government recognized operating system by Auterion enables the drone to function effectively without glitches. The US-1 UAV made its first run in February with a California-based police force. The US-1 possess the longest flight time of any quadcopter in the market. The new product joined the arsenal of drones and helicopters utilized by the police agencies. The drone will empower them to conduct recons and gather information remotely. Thus, it not only makes aerial imagery easier but also reduces the first responder cost. The UAV can be utilized by public safety organizations to stream live footage to the control centers. The open-source approach adopted by Auterion in its services will help in the seamless integration of the UAV systems into their IT-infrastructures. The Auterion PX4, the operating system used by US-1, is utilized by drone pilots, businesses, and enterprises all around the world. The open-source approach adopted by Auterion to build its infrastructure, enables drone manufacturers to integrate their products with the secure operating system easily. It aims to secure the software infrastructure of the drones, at the same time, scaling and future-proofing drone operations for businesses, police agencies, and safety organizations. ...Read more
The Cerebras WSE, a semiconductor chip, transforms AI ecosystems with its unique compute density. Cerebras Systems has launched a larger than ever  semiconductor  chip. The Cerebras Wafer-Scale Engine (WSE) is 56-times larger than the next-largest chip. It delivers more compute memory and communication bandwidth.  It packs in 1.2 trillion transistors, is computer-optimized and exclusively for AI and deep learning capabilities. The WSE is designed around an 8.5-inch square-shaped chip with a pattern of lines etched in silicon. The chip offers a parallel-processing speed to allow AI research more speedy than before.  Comparing with the largest graphical processing unit (GPU), the Nvidia has 21.1 billion transistors. By the usage of trillion transistors and 400,000 AI-optimized cores, WSE is meant to be known as as the biggest AI chip. " While AI is used in a general sense, no two data sets or AI tasks are the same. New AI workloads continue to emerge, and the data sets continue to grow larger," said Jim McGregor, principal analyst and founder at TIRIAS Research. Check Out: CIOReview The engineers behind the design of the chip reveal that it can be used in large data centers and will help the progress of AI in every field of development. It includes self-driving cars to talking digital assistants like Amazon's Alexa. Cerebras Systems' CEO Andrew Feldman said, "Designed from the ground up for AI work, the Cerebras WSE contains fundamental innovations that advance the state-of-the-art by solving decades-old technical challenges that limited chip sizes—such as cross-reticle connectivity, yield, power delivery, and packaging." The advantages of WSE is that, with AI, large chips take up information more rapidly than producing the answers. As a result of this, neural network that in the past took months to train can be trained in minutes on the Cerebras WSE. “Every architectural decision was made to optimize performance for AI work. The result is that the Cerebras WSE delivers, depending on workload, hundreds or thousands of times the performance of existing solutions at a tiny fraction of the power draw and space,” He concluded. Cerebras Systems, founded in 2016, is a stealth mode startup with a team of experts comprising computer architects, computer scientists, deep learning researchers, and engineers of all types. Check Out:  Top Semiconductor Packaging Solution Companies ...Read more
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