Altair, a global leader in computational science and artificial intelligence (AI), announced the launch of its broad digital twin solution that features the market's most connected, cross-functional capabilities that can be deployed through any and every stage of a product lifecycle. "Altair offers the market's premier digital twin solution that can transform the way people and organizations design, develop, implement, and improve products and processes," said Sam Mahalingam, chief technology officer, Altair. "Moving forward, we will continue establishing our digital twin leadership to provide further democratized, more accessible digital twin solutions." Combining Altair's leading simulation, high-performance computing (HPC), AI, data analytics, and Internet of Things (IoT) capabilities, companies can apply digital twin technology at any stage of the product lifecycle -- from concept through in-service -- as part of a cross-functional, enterprise-wide effort that advances collaboration and eliminates departmental silos. Additionally, Altair's open, vendor-agnostic digital twin solution is the premier offering that gives customers the flexibility to run Altair software anywhere – whether on-site, in the cloud, hybrid, or via plug-and-play appliances – and the freedom to choose from a comprehensive toolset through a cost-effective, units-based licensing model called Altair Units.

This paper describes a protocol for a market of machine learning models. The economic interaction involves two types of agents: data providers- agents that have some data and want to use it to get a predictive model, and model providers- agents able to use the data to generate predictive models. First, we will show that the process is informationally asymmetric, therefore a standard direct market can not function. The protocol is theoretically analysed, to establish it's correctness and computational complexity. We also propose a simple reference implementation based on a HTTP API.

TOKYO, July 12, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence Robots Market size was valued at USD 6,214 Million in 2021 and is expected to reach USD 66,662 Million by 2030 growing at a CAGR of 30.5% during the forecast period from 2022 to 2030. Human-robot interaction is becoming more common as robots make everyone's lives easier and more comfortable, and as a result, the market for AI robots is expanding. AI, or machine intelligence in robotic systems, is the implementation of AI technology into robots to allow them to perform repetitive tasks more efficiently without human intervention. AI also enables robots to communicate with other autonomous systems. For entrepreneurs, robotic systems will prove to be more effective and cost-effective labor.

Pune, India -- (SBWIRE) -- 06/19/2018 -- The Artificial Intelligence is used in the creation of construction plans. Autonomous equipment is considered as AI as it is aware of its surroundings and is capable of navigation without human input. In the planning stages, AI machinery can survey a proposed construction site and gather enough information to create 3D maps, blueprints and construction plans. Before this advancement, these processes would take weeks – now they can be done in one day. This helps to save firms both time and money in the form of labor.

Some say that artificial intelligence (AI) will radically change healthcare in the future. But that prediction overlooks an important detail: AI is already significantly changing healthcare. IBM (NYSE:IBM) Watson Health general manager Deborah DiSanzo spoke at the annual J. P. Morgan Healthcare Conference on Wednesday. She provided an update on the progress that IBM Watson, the AI system famous for beating Jeopardy! DiSanzo highlighted four areas where AI is making a big difference today.

Azeem Azhar is a strategist, product entrepreneur, and analyst living in London. He is the curator of the weekly newsletter Exponential View, from which the following is adapted. This is the first year I am presenting predictions for the coming year. I've received some incredibly helpful comments from readers via Twitter. This has encouraged me to stick my head above the parapet.

The 100 startups on our list have raised $11.7B in aggregate funding across 367 deals. Today, CB Insights unveiled the second annual AI 100 -- a list of 100 of the most promising private companies applying artificial intelligence algorithms across 25 industries, from healthcare to cybersecurity -- at the A-Ha! conference in San Francisco. The companies were selected from a pool of 2,000 startups based on several criteria, including investor profile, tech innovation, team strength, patent activity, mosaic score, funding history, valuation, and business model. The market map below categorizes the AI 100 companies based on their industry focus. Please click on the image to enlarge.

The topic of machine learning–enabled artificial intelligence (AI) is gaining increasing visibility in the world of investment management. Of particular interest is the application of AI to the development of smarter robo-advisers that some hope, while others fear, will yield "intelligent" and cost-effective investment management advice. This topic was raised by investment professionals during recent CFA Institute traveling conference that went to Central and Eastern Europe and the Middle East. AI has also been the subject of a recent European Commission (EC) consultation document, to which CFA Institute submitted a response. For the uninitiated reader, some quick defining of terms could be helpful.

There's so much excitement around AI at the moment that in some quarters it's even being heralded as the'fourth industrial revolution'. With AI-powered Go and chess champions, it seems like the singularity is fast approaching. To be clear, AI isn't quite advanced as we've seen in science fiction. Full Hollywood-style robot AI that can relate to any human experience is some way off, but there is plenty of it in development, advancing all the time, and in places you might not automatically expect. Fifteen years after the movie Minority Report explored themes of futuristic crime-fighting, free will, determinism and RSI-free desktops, the UK's Durham police force has stepped up with its vision of the future of law enforcement.

"Scientia potentia est" is a Latin adage that means "knowledge is power". This phrase is commonly attributed to Sir Francis Bacon and its most common modern interpretation is'information is power'. There has never been a time in human history when this phrase was more relevant, as each day humanity creates over 2 Quintillion bytes of data. This reality has manufactured the big data boom that the world is currently experiencing. All of this data has to be processed, analyzed and stored in some way.