Entitled "Bringing AI and Intelligent Live Streaming to the Smart City," this presentation will be led by key members of CrowdOptic's technical team: Richard Smith, VP of Product, Austin Markus, VP of CrowdOptic Labs, and Joshua Davis, Principal Director of Engineering. There are already hundreds of thousands of cameras in many smart cities, but how intelligent are their video cameras and video management systems? This session will dig into the use of artificial intelligence to control cameras, and will explain how sensor data can be used to analyze video stored at the edge. CrowdOptic Intersect APIs expose developers to triangulation and cluster detection algorithms, guiding them through the basics of how CrowdOptic works with camera lines of sight to bring artificial intelligence to the smart city. A quick demonstration will drive home the depth of these APIs, showing how smart phones leverage cameras in the smart city to effectively look through walls and around corners.
The Tender Offer referenced in this press release has not yet commenced. This communication is for information purposes only and is not an offer nor a solicitation of an offer to purchase, sell or exchange securities or a solicitation of a proxy from any stockholder. Subject to future developments, additional documents regarding the proposed transaction, such as a Schedule TO and a registration statement on Form S-4, may be filed with the SEC, which investors should read carefully if and when they become available because they contain important information. Investors may obtain a free copy of the documents filed by Recall Studios, when they are available, from the SEC's website at www.sec.gov. Recall Studios, its directors and certain of its executive officers may be deemed to be participants in a solicitation of proxies for the proposed transaction.
Embedded Artificial Intelligence (AI) is quickly becoming an essential capability for edge processing, gives'smart' devices an ability to become'aware' of its surroundings and make decisions on the input received with little or no human intervention. NXP's ML environment enables fast-growing machine learning use-cases in vision, voice, and anomaly detections. The vision-based ML applications utilize cameras as inputs to the various machine learning algorithms of which neural networks are the most popular. These applications span most market segments and perform functions such as object recognition, identification, people-counting and others. Voice Activated Devices (VADs) are driving the need for machine learning at the edge for wake word detection, natural language processing, and for'voice as the user-interface' applications.
It was 1995, the year that Craigslist, eBay and Expedia were born. The age of the internet had arrived, and we at Forbes magazine, all too aware of academics' complaints about cashing out for research, made a prediction: Elsevier, the largest publisher of scientific journals, would be its "first victim." Yet recent years have seen Elsevier profits swell to more than £900 million closing in on a 40% profit margin. It seems to be--as the Financial Times claimed in 2015--"the business the internet could not kill." This hasn't stopped resentment from brewing as journal prices continue to rise above inflation.
Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected'things' to predict outcomes and learn from successes and failures. There are many other AI technologies - from image recognition to natural language processing, gesture control, context awareness and predictive APIs - but machine learning is where most of the investment community's funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans. Many companies, like Alphabet, have already become'AI-first' companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.
Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected'things' to predict outcomes and learn from successes and failures. There are many other AI technologies - from image recognition to natural language processing, gesture control, context awareness and predictive application programming interfaces (APIs) - but machine learning is where most of the investment community's funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans. Many companies, like Alphabet, have already become'AI-first' companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.
San Jose, CA, May 31, 2018 (GLOBE NEWSWIRE) -- The Tech Museum of Innovation is opening a new immersive exhibit which invites visitors to collaborate with AI-powered robots to bring their creations to life. With Animaker, visitors step into a large-scale projection of a jungle temple where robots invite them to form animals out of LEGO/Duplo bricks. Their creations are analyzed by the robots, incorporating cutting edge 3D-scanning technology and an AI-powered search engine that understands 3D content. The animals then come to life in a virtual ancient temple, and can be personalized by changing their look and behavior. This is the first experience in the world where children play and learn about AI by training machines to recognize different interpretations of real world objects.
Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly – in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. A new report from Tractica finds that virtually every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide variety of solutions. Tractica forecasts that the market for deep learning chipsets will increase from $1.6 billion in 2017 to $66.3 billion by 2025. System-on-a-chip (SoC) accelerators such as those found in mobile devices will lead the market in terms of sheer volumes by the end of the forecast period, followed by application-specific integrated circuits (ASICs) and graphics processing units (GPUs).
In order to drive awareness of the benefits and understand the challenges of AI (such as on ethics and legal issues), IMDA is engaging key stakeholders including government, industry, consumers and academia to collaboratively shape the Government's plans for the AI ecosystem. Such discourse will inform the Government's ongoing plans to support Singapore as a hub for AI development and innovation, and help Singapore to effectively respond to global developments. These initiatives complement IMDA's current suite of business and talent programmes to develop a vibrant AI ecosystem and position Singapore as a leading hub for AI. An Advisory Council on the Ethical Use of AI and Data will be appointed by the Minister for Communications and Information to advise and work with IMDA in the areas of responsible development and deployment of AI. The Advisory Council will assist the Government to develop ethics standards and reference governance frameworks and publish advisory guidelines, practical guidance, and/or codes of practice for the voluntary adoption by the industry.
NET ENERGY INC Founded in 2005, Net Energy Inc. is the original electronic trading platform and brokerage for crude oil in Canada. Net Energy connects motivated buyers and sellers in a transparent, reliable trading forum, and flows trade, settlement, and index data directly into customers' back-office risk, credit, and accounting applications. Headquartered in Calgary, Alberta, Canada, the knowledgeable and experienced trading desk is continually developing and expanding into new markets and currently offers over 300 physical energy and financial products available for transacting in real time. Net Energy is recognized by the Alberta Securities Commission as a Crude Oil Derivatives Exchange for its suite of financial products.