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LumenVox Launches Next-Generation Automatic Speech Recognition Engine with Transcription

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SAN DIEGO, August 03, 2021--(BUSINESS WIRE)--LumenVox, a leading provider of speech and voice technology, today announced its next-generation Automatic Speech Recognition (ASR) engine with transcription. The new engine, built on a foundation of artificial intelligence (AI) and deep machine learning (ML), outpaces its competition in delivering the most accurate speech-enabled customer experiences. The new LumenVox ASR engine stands apart from the rest with its end-to-end Deep Neural Network (DNN) architecture and its state-of-the-art speech recognition processing capabilities. The new ASR engine not only accelerates the ability to add new languages and dialects but also provides a modern toolset to expand the language model to serve a more diverse base of users. "New demands have redefined the very meaning of Automated Speech Recognition," said Dan Miller, lead analyst at Opus Research.


FDL USA Digital Showcase Register Your Interest

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We would like to invite you to our FDL USA Digital Showcase on Friday 13 August 2021. FDL USA is a public private partnership between NASA, the SETI Institute, Trillium Technologies and leaders in commercial AI, space exploration and Earth Science. FDL USA is once again pushing the boundaries of applied AI in ways that offer a tantalizing vision of what's on the horizon and our 7 challenge teams from FDL USA are excited to showcase and share their research outcomes they have been able to achieve during the 8 week research sprint. Please join for a celebration of the application of cutting edge AI in space science and exploration. For further information visit on this year's challenge teams visit fdl.ai


Exscientia - Exscientia Builds Automated Laboratories in Oxford to Expand Pipeline

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Exscientia today announced the opening of a 21,000 square foot expansion of its facilities at Oxford Science Park, increasing capacity for its technology teams as well as significantly expanding its laboratory-based experimental capabilities in structural biology, biophysics and high-content pharmacology. In parallel, Exscientia is building a new 26,000 square foot robotic laboratory at nearby Milton Park, Oxfordshire focused on the automation of chemistry and biology to accelerate drug discovery. This will take Exscientia towards its goal of drugs designed by AI, made by robot. "Exscientia has grown significantly in 2021, driven by new partnerships with leading pharma and biotech companies, as well as by our in-house drug discovery work. Our pipeline includes more than 25 active research programs across therapeutic areas, with a focus on immunology and oncology," said Dr. David Hallet, Chief Operating Officer of Exscientia.


Guidelines for Artificial Intelligence from the 18th Century

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Research from the University of Kent (@UniKent) and Aalto University (@AaltoUniversity), Finland, has concluded with four key guidelines for how society should view and utilise Artificial Intelligence (AI), based on fictional scenarios in 18th Century literature. The paper, 'Embodiment in 18th Century Depictions of Human-Machine Co-Creativity', notes that AI is viewed broadly as a tool to enhance creativity, but is actually developed to such sophistication that the AI can become co-creator to the final product. Whilst this is evident in modern computer software, ideas about creative AI feature in many books from the past, particularly in works of fiction, drama and poetry. The 18th Century was the period of the Industrial Revolution and the Enlightenment across Europe, and many advances were made in the development of'automata' and other robotic systems. The literature of the time reflects this with such broadmindedness that it still highly relevant in our own AI-dominated world.


Artificial Intelligence (AI) Chips Market to grow by USD 73.49 billion

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The artificial intelligence (AI) chips market report offers a comprehensive analysis of the strategies adopted by vendors and the trends, drivers, and challenges affecting the market size. The report identifies the increasing adoption of AI chips in data centers as one of the major factors driving the growth of the market. The report also provides information on other latest trends and drivers impacting the overall market environment. The Artificial Intelligence (AI) Chips Market is segmented by product (ASICs, GPUs, CPUs, and FPGAs) and geography (North America, Europe, APAC, South America, and MEA). The convergence of AI and IoT will be crucial in fueling the growth of the market over the forecast period.


It's No Secret That Demand For Smart Homes And Devices Has Gone From Novelty To Necessity. Explore The Flourishing Potentials For The Smart Home Market And The Industries Involved

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Do you live in a Smart Home? Can you control your lighting, heating, and electronic devices with nothing more than a smartphone? It's no secret that demand for smart homes and devices has gone from novelty to necessity. Artificial Intelligence (AI) assistants like Siri and Alexa have exploded in popularity and have been accepted into millions of homes. Many consumers have come to not only accept the help of these devices but have come to rely upon them. Can you even begin to imagine life today without social media, smartphones, or GPS systems?


NSF Makes Huge Investment In Eleven New Artificial Intelligence Research Institutes.

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Each of the 11 new research institutes, which are headed by major research universities, will ... [ ] receive about $20 million over five years. The National Science Foundation (NSF) announced today that it was funding 11 new National Artificial Intelligence (AI) Research Institutes. The latest grants follow a first round of seven AI research institutes established in 2020. The new investment totals $220 million and expands the network of these institutes to a total of 40 states and the District of Columbia, according to NSF. "I am delighted to announce the establishment of new NSF National AI Research Institutes as we look to expand into all 50 states," said National Science Foundation Director Sethuraman Panchanathan in the agency's news release. "These institutes are hubs for academia, industry and government to accelerate discovery and innovation in AI. Inspiring talent and ideas everywhere in this important area will lead to new capabilities that improve our lives from medicine to entertainment to transportation and cybersecurity and position us in the vanguard of competitiveness and prosperity."


Scientists use machine learning to speed discovery of metallic glass

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Blend two or three metals together and you get an alloy that usually looks and acts like a metal, with its atoms arranged in rigid geometric patterns. But once in a while, under just the right conditions, you get something entirely new: a futuristic alloy called metallic glass that's amorphous, with its atoms arranged every which way, much like the atoms of the glass in a window. Its glassy nature makes it stronger and lighter than today's best steel, plus it stands up better to corrosion and wear. Even though metallic glass shows a lot of promise as a protective coating and alternative to steel, only a few thousand of the millions of possible combinations of ingredients have been evaluated over the past 50 years, and only a handful developed to the point that they may become useful. Now a group led by scientists at the Department of Energy's SLAC National Accelerator Laboratory, the National Institute of Standards and Technology (NIST) and Northwestern University has reported a shortcut for discovering and improving metallic glass -- and, by extension, other elusive materials -- at a fraction of the time and cost.


Velodyne Lidar Introduces Vella Development Kit for Building Autonomous Solutions

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SAN JOSE, Calif., July 29, 2021--(BUSINESS WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a new software development kit which allows customers to utilize the advanced capabilities of Velodyne's Vella lidar perception software in their autonomous solutions. The Vella Development Kit (VDK) enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more. This press release features multimedia. The Vella Development Kit (VDK) from Velodyne Lidar allows customers to use the advanced capabilities of Vella lidar perception software in autonomous solutions. VDK enables companies to accelerate time to market for bringing cutting-edge lidar capabilities to autonomous vehicles, advanced driver assistance systems (ADAS), mobile delivery devices, industrial robotics, drones and more.


DeepMind will soon publish the structure of every protein known to science

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DeepMind, a sister company of Google, is giving the world access to a massive protein structure database -- a gift that has the potential to revolutionize scientific research. "This will be one of the most important datasets since the mapping of the Human Genome," Ewan Birney, deputy director general of the European Molecular Biology Laboratory, which partnered with DeepMind on the database, said in a press release. Protein structure: Proteins are molecules that are hugely important to the functioning of living organisms, including humans -- practically everything we're made of and everything our cells do is determined by our proteins. "It's the most significant contribution AI has made to advancing scientific knowledge to date." Every protein is made up of a long string of hundreds or even thousands of chemical compounds called amino acids, and the way that ribbon folds on itself determines the protein's function.