AUTOMA 2021 – Oil and Gas Automation and Digitalization Congress 2021

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[…]

What if that second medical opinion could be generated by a computer, using artificial intelligence?

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?[…]

2021 EEN Green and ICT Brokerage Event

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[…]

A novel computational design optimisation method that reduces costs by using artificial intelligence

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[…]

UBER driver data helps track and potentially alleviate urban traffic congestion

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[…]

Robots learning new tasks from demonstrations

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[…]

A new device to more efficiently process information

The development of a new method to make non-volatile computer memory may have unlocked a problem that has been holding back machine learning and has the potential to revolutionize technologies like voice recognition, image processing and autonomous driving. A team from Sandia National Laboratories, working with collaborators from the University of Michigan, published a paper Read more about A new device to more efficiently process information[…]

Scientific peer review process can be harnessed by Artificial Intelligence and Machine Learning

As the COVID-19 pandemic has swept the world, researchers have published hundreds of papers each week reporting their findings – many of which have not undergone a thorough peer review process to gauge their reliability. In some cases, poorly validated research has massively influenced public policy, as when a French team reported COVID patients were Read more about Scientific peer review process can be harnessed by Artificial Intelligence and Machine Learning[…]

A new data storage method

The emergence of artificial intelligence and machine learning techniques is changing the world dramatically with novel applications such as internet of things, autonomous vehicles, real-time imaging processing and big data analytics in healthcare. In 2020, the global data volume is estimated to reach 44 Zettabytes, and it will continue to grow beyond the current capacity Read more about A new data storage method[…]

A new approach for more trust in Artificial Intelligence

One of the biggest impediments to adoption of new technologies is trust in AI. Now, a new tool developed by USC Viterbi Engineering researchers generates automatic indicators if data and predictions generated by AI algorithms are trustworthy.  Their research paper, “There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks” by Mingxi Cheng, Read more about A new approach for more trust in Artificial Intelligence[…]

Wide personality traits and attributes such as extraversion and IQ were predicted by Social Media information

Principle Investigator HARUNO Masahiko and Dr. MORI Kazuma at the Center for Information and Neural Networks (CiNet), the National Institute of Information and Communications Technology (NICT, President: TOKUDA Hideyuki, Ph.D.), report the use of machine learning to analyze behavior on Twitter and predict a wide range of personality traits and attributes such as intelligence and Read more about Wide personality traits and attributes such as extraversion and IQ were predicted by Social Media information[…]