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.

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.

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?

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."

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.

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, 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.

TORONTO, ON / ACCESSWIRE / July 28, 2021 / DigiMax Global Inc. (the'Company' or'DigiMax') (CSE:DIGI)(OTC:DBKSF), a company that provides artificial intelligence ("AI") and cryptocurrency technology solutions, is pleased to announce that it has signed its first collaboration agreement to expand CryptoHawk services into Hong Kong and surrounding areas. CryptoHawk is an Artificial Intelligence driven, price-trend prediction tool that can be profitably used by any investor interested in trading Bitcoin or Ethereum. The tool is different as it uses AI and machine learning to capture profit from the volatility of crypto currencies, rather than incur the risk of buy-and-hold investments. As previously announced by the Company, in its first full month of operation in June 2021, CryptoHawk signals achieved a 1-month, long-short return on BTC of more than 25% compared to a buy-and-hold return for the same period of a loss of 10%. In both up and down markets, CryptoHawk has the potential to deliver subscribers much higher returns when trading.

SAN MATEO, Calif., July 29, 2021 (GLOBE NEWSWIRE) -- Chooch AI, the leading computer vision AI platform, has been cited for accelerating adoption of computer vision–powered solutions across industry verticals by leading research company IDC. Chooch AI models are ready to deploy now both in the cloud and on edge devices. Clients include Fortune 500 companies and the US Government. Partners include NVIDIA, Intel, Dell, Deloitte, Convergint and Vantiq. IDC states that, "Chooch AI's horizontal- and vertical-agnostic platform supports rapid data set generation capabilities using machine labeling techniques such as smart annotation, data augmentation, and use of synthetic data, along with pretrained ready-to-use models. They believe this will accelerate adoption and time to value computer vision–powered solutions across industry verticals."

Domino Data Lab is launching the company's first partner program today as the data science and MLOps software developer looks to scale up its work with service and technology partners and provide them with a structured program with more resources and benefits. The new Domino Partner Network will provide structure for what has largely been ad hoc partner processes, according to Domino executives. It will help the company expand and scale its work with partners and provide them with needed training, go-to-market resources and incentives. "Our push to formalize this partner program and to work with a wider range of partners is really being driven by our customers," CEO Nick Elprin said in an interview with CRN. "At a high level, what we're doing is formalizing an approach and a structure for how we work with partners."