If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
XAOS MOTORS, headquartered in KOREA, challenges the technological progress of autonomous driving. XAOS MOTORS, by launching XCAT LiDAR Sensor now, give OEMs to make fully self-driving cars earlier than the market expected. MEMS LiDAR Sensor XCAT was developed for self-driving cars. With the ability to scan over 300 meters, XCAT can safely cope with high-speed driving. XCAT is designed for mass production, and OEMs can adopt high-performance 3D LiDARs at a low cost.
OTTAWA, ON, June 15, 2020 /CNW/ - Kinaxis Inc. (TSX: KXS), the authority in driving agility for fast, confident decision-making in an unpredictable world, has signed a definitive agreement to acquire Toronto-based Rubikloud, a disruptive, emerging provider of AI solutions that automate supply chain prescriptive analytics and decision-making in the retail and consumer packaged goods (CPG) industries. Globally-recognized retailers and CPG manufacturers in the health and beauty, household and grocery segments use Rubikloud's AI-based products today. Their offerings include demand forecasting and automation to manage and optimize trade promotions, pricing and assortment to drive product demand and dramatically improve financial results. Kinaxis will enhance RapidResponse's demand planning capabilities with the Rubikloud offerings, anticipating initial opportunities in the company's rapidly-growing CPG customer base and over time for other industries such as life sciences. The acquisition also offers Kinaxis a springboard into the enterprise retail industry.
ModalityIQ, a community-based knowledge sharing and learning platform, is pleased to announce the acquisition of The Machine Learning Conference ("MLconf" and "MLconf.com"), a leader in serving the Machine Learning and Artificial Intelligence community. Founded by Courtney and Shon Burton in 2012, MLconf has gathered thousands of members of the machine learning community to coalesce and share lessons learned through a series of 20 conferences that showcase the latest innovations in machine learning tools, techniques and algorithms attracting Data Scientists, Machine Learning professionals and others who have a vested interest in ML/AI. "Sharing lessons learned that help advance the ML/AI community is at the core of ModalityIQ's mission and is why the acquisition of MLconf made sense for us," said Richard Rivera, Founder & CEO of ModalityIQ. "Courtney's years of service and her dedication to providing a platform for the ML/AI community to share, learn, and inspire one another made her the obvious person for us to partner with. We look forward to working with her and the MLconf team to continue to facilitate the sharing of knowledge within the ML/AI community today and in the years to come." In addition to hosting annual conferences, MLconf also has a vibrant online presence through a community blog and job board at mlconf.com, a monthly newsletter, and via social media in addition to a prolific YouTube channel with hundreds of videos highlighting current and past MLconf presentations.
TOKYO, June 30, 2020 /PRNewswire-PRWeb/ -- About Cyneural While cyber-attack defenses generally respond by detecting specific patterns of "signatures" that indicate malicious access, complex or unknown attacks that utilize AI or BOTs can be difficult to detect or can result in false positives. This is why cyber-attack defenses also need to take advantage of technology with flexibility such as AI. Against this backdrop, Cyber Security Cloud developed its own attack detection AI engine, Cyneural, in August 2019. "Cyneural" uses a feature extraction engine that utilizes the knowledge cultivated through CSC's research on web access and various attack methods. It builds multiple types of training models to help detect not only common attacks but also unknown cyber-attacks and false positives at a higher speed. About Cyneural being used in Shadankun and WafCharm Since the development of Cyneural, CSC has been operating it by utilizing the large amount of data that they have.
Central to the collaboration with HP Indigo is Tilia Labs' flagship software tilia Phoenix. This is planning and imposition software that uses AI technology to reduce cost and optimize production in all print segments including packaging, labels, commercial, and wide format printing. Its AI-generated layouts eliminate the need for template-based imposition, instead dynamically adapting to manufacturing requirements and constraints – an innovation that earned tilia Phoenix a 2019 InterTech Award. HP Indigo customers benefit from AI technology Designed by Tilia Labs to be powerful and dynamic, tilia Phoenix's Imposition AI works quickly enough to keep up with the fastest presses on the market. For albelli of The Hague in the Netherlands, this means delivering automated, multi-lane impositions on-the-fly to their HP 50000 Digital Press - printing up to 770 duplex color/ 2300 mono pages per minute.
The Chinese new car market has been topsy turvy lately, primarily because the government keeps playing around with its NEV (new energy vehicle) incentive program. China really, really wants people to buy electric cars -- either plug-in hybrids or battery electrics -- but found its original incentive program was costing too much money. So it modified the program, several times in fact, which caused confusion among car companies and customers. In general, people who are confused postpone buying decisions until things get clearer, and that's exactly what Chinese new car shoppers did. The second factor, of course, was production shutdowns caused by the coronavirus pandemic.
The recent report on "Global Artificial Intelligence(AI) in Retail Market Size, Status and Forecast 2020-2026" offered by Researchmoz.us, Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the "Artificial Intelligence(AI) in Retail market". This is the most recent report inclusive of the COVID-19 effects on the functioning of the market. It is well known that some changes, for the worse, were administered by the pandemic on all industries. The current scenario of the business sector and pandemic's impact on the past and future of the industry are covered in this report.
DUBLIN--(BUSINESS WIRE)--The "Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market 2020-2026 by Offering, Technology, Drug Type, Therapeutic Area, Application, End User, and Country: Trend Forecast and Growth Opportunity" report has been added to ResearchAndMarkets.com's offering. Asia-Pacific artificial intelligence (AI) in drug discovery market will grow by 33.2% over 2020-2026 with a total addressable market cap of $2.78 billion, owing to fast adoption of AI technology in pharmaceutical industry and drug development. The report provides historical market data for 2015-2019, revenue estimates for 2020, and forecasts from 2021 till 2026. Highlighted with 34 tables and 53 figures, this 121-page report is based on a comprehensive research of the entire Asia Pacific AI in drug discovery market and all its sub-segments through extensively detailed classifications. Profound analysis and assessment are generated from premium primary and secondary information sources with inputs derived from industry professionals across the value chain.
Click here to learn more about Gilad David Maayan. There are a significant number of investments in the automotive industry nowadays. The majority of these investments focus on artificial intelligence (AI) and the optimization of self-driving technology. Meanwhile, new mobility systems and players are making their way into the automotive market. Tesla is trying to improve its autopilot system, Uber is testing robo-taxis, and Google is developing self-driving cars.
Voicemod has raised $8 million to expand its business of offering voice filters. People use these filters to change their voices in video games or in virtual worlds, where animated avatars can make your words sound silly. The Valencia, Spain-based company was founded by three brothers who were musicians in 2009, but it really picked up after shifting a couple of years ago to focus on real-time voice modification for gamers and content creators on the PC. Now Voicemod has more than 10 million downloads and 2.5 million monthly active users. Bitkraft Ventures led the funding round.