The world-leading leading IoT Tech Expo will bring together key industries from across the globe for 2 days of top-level content and discussion. Introducing and exploring the latest innovations within the Internet of Things and covering Manufacturing, Transport, Health, Logistics, Government, Energy and Automotive, this conference is not to be missed. 6 co-located events. 5,000+ attendees. 100+ speakers. 125+ exhibitors. Arriving Read more about IoT Tech Expo – Global[…]
Current and former employees, business partners, contractors—anyone with the right level of access to a company’s data—can pose a threat. The incidence of insider threats has increased in recent years, at a significant cost to companies. Jingrui He, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, is addressing this problem Read more about Insider threats are one of the top security concerns facing large organizations[…]
More than a century has passed since Thomas Edison developed the first electric light bulb, yet Edison’s hallmark approach of ‘trial and error’ to reach his discovery still remains a large part of today’s inventions. Now, a team of engineers at the University of Missouri is embodying the age-old adage of “work smarter, not harder” Read more about How the next-generation of AI can be integrated into the innovation process for designing new and existing materials[…]
More than a century has passed since Thomas Edison developed the first electric light bulb, yet Edison’s hallmark approach of ‘trial and error’ to reach his discovery still remains a large part of today’s inventions. Now, a team of engineers at the University of Missouri is embodying the age-old adage of “work smarter, not harder” Read more about Next-generation of AI and machine learning to take advantage over innovation process[…]
Vanderbilt and Penn State engineers have developed a novel approach to design and fabricate thin-film infrared light sources with near-arbitrary spectral output driven by heat, along with a machine learning methodology called inverse design that reduced the optimization time for these devices from weeks or months on a multi-core computer to a few minutes on Read more about Infrared light sources could revolutionize molecular sensing technologies[…]
Must-Have Digital Trends For The Leaders Of The O&G Market at AUTOMA 2021 Digitalization of almost every working process has affected the oil and gas industry in 2020-2021, and it keeps growing its influence. To remain aware of the cutting-edge trends, leaders of the industry will join the Oil and Gas Automation and Digitalization Congress Read more about AUTOMA 2021 – Oil and Gas Automation and Digitalization Congress 2021[…]
It’s an old adage: there’s no harm in getting a second opinion. But what if that second opinion could be generated by a computer, using artificial intelligence? Would it come up with better treatment recommendations than your professional proposes? A pair of Canadian mental-health researchers believe it can. In a study published in the Journal of Applied Behavior Read more about What if that second medical opinion could be generated by a computer, using artificial intelligence?[…]
HAPTIC R&D CONSULTING SRL will participate at 2021 EEN Green and ICT Brokerage Event Gain insights into the Green and ICT industries and boost cooperation in the environmental and ICT sectors. This brokerage event brings together companies (buyers as well as suppliers), universities and research organisations from Taiwan and a large number of European countries. Read more about 2021 EEN Green and ICT Brokerage Event[…]
In the field of industrial engineering, using simulations to model, predict and even optimise the response of a system or device is widespread, as it is less expensive and less complex -and, sometimes, less dangerous- than fabricating and testing several prototypes. This type of simulation studies uses numerical methods that, depending on the problem to Read more about A novel computational design optimisation method that reduces costs by using artificial intelligence[…]
A new machine learning algorithm is poised to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic. The tool, called TranSEC, was developed at the U.S. Department of Energy’s Pacific Northwest National Laboratory to help urban traffic engineers get access to actionable information about traffic patterns in their cities. Currently, publicly Read more about UBER driver data helps track and potentially alleviate urban traffic congestion[…]
Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching Read more about Robots learning new tasks from demonstrations[…]
Ivan Smirnov, Leading Research Fellow of the Laboratory of Computational Social Sciences at the Institute of Education of HSE University, has created a computer model that can distinguish high academic achievers from lower ones based on their social media posts. The prediction model uses a mathematical textual analysis that registers users’ vocabulary (its range and Read more about Social media posts can predict your IQ score[…]