Robots can take just three hours to successfully learn techniques which can be used to support teachers in a classroom environment, according to new research. The study, published in Science Robotics, saw a robot being programmed to progressively learn autonomous behaviour from human demonstrations and guidance. A human teacher controlled the robot, teaching it how to help young pupils in an educational activity, and it was then able to support the children in the same activity autonomously. The advice it subsequently provided was shown to be consistent with that offered by the teacher. Researchers say the technique could have a number of benefits to teachers, as they face increasing demands on their time, and could be positive for pupils, with research previously showing that using robots alongside teachers in the classroom can have benefits for their education.

Artificial intelligence (AI) will have a huge impact on health care. It is currently moving out of the laboratory and into real-world applications for health care and medicine. Many startups are using modern data and AI technologies to tackle problems related to workflow optimization and automation, demand forecasting, treatment and care, diagnostics, drug discovery, personalized medicine, and many other areas. Some of these companies are beginning to speak publicly about their AI initiatives; our upcoming Artificial Intelligence conferences in San Jose and London have a strong roster of speakers who will describe applications of AI in health and medicine. AI's transition to the real world can be challenging.

I'm not qualified as a Financial Advisor, and there's a non-zero chance that my forecasts are ALL WRONG. I'm gonna do a Chicago Wheat fair value forecast for this first post. There's a ton of data from USDA, and it could get quite overwhelming. Breaking the data into smaller bits could help interpret the data more meaningfully for grain traders. I have no clue, looking at these numbers alone without referencing historical precedence.

A lot of nat gas analysts would at times reference EIA's Nuclear Capacity Outage (NCO henceforth), yet I haven't seen anyone do a detailed explanation of how they apply it toward an objective bias in implied Nat Gas demand, i.e. Fair Value bias going forward expected by traders paying attention to NCO. So I got curious, and first look at NG prices vs. YOY change in NCOs: So it looks like there is likely somewhat of a rough relationship, that some traders are paying attention to it. Then the next step would be an attempt toward precision via Time Series Analysis. So, what I'd do here is a 2 Step Machine Learning process of 1) Forecast expected NCO for the rest of 2019, then apply that to estimate Natural Gas futures fair value bias going forward.

In the race to manufacture autonomous vehicles (AVs), safety is crucial yet sometimes overlooked as exemplified by recent headline-making accidents. Researchers at the University of Illinois at Urbana-Champaign are using artificial intelligence (AI) and machine learning to improve the safety of autonomous technology through both software and hardware advances. "Using AI to improve autonomous vehicles is extremely hard because of the complexity of the vehicle's electrical and mechanical components, as well as variability in external conditions, such as weather, road conditions, topography, traffic patterns, and lighting," said Ravi Iyer "Progress is being made, but safety continues to be a significant concern." The group has developed a platform that enables companies to more quickly and cost-effectively address safety in the complex and ever-changing environment of autonomous technology. They are collaborating with many companies in the Bay area, including Samsung, NVIDIA, and a number of start-ups.

IRVINE, Calif., Oct. 18, 2019 (GLOBE NEWSWIRE) -- Kofax, a leading supplier of Intelligent Automation software to digitally transform end-to-end business operations, today announced Chief Strategy Officer Chris Huff is speaking at Gartner IT Symposium/Xpo, the annual gathering where CIOs and IT executives come together to discuss key topics – including data and analytics, artificial intelligence, machine learning, culture, customer experience, cybersecurity and other relevant subjects. Huff will participate in two sessions, Oct. 20 - 24 in Orlando. Kofax is also exhibiting at the conference in Booth 232/234. Gartner IT Symposium/Xpo's the place where thousands of CIOs and IT executives come together to hone their leadership skills, refine their strategies and find the innovative technologies that will help drive their businesses forward. Attendees have the opportunity to network with more than 9,000 CIOs and IT executives, engage with nearly 200 experts, learn about more than 180 cutting-edge solutions, and discover 350 research-driven sessions.

There is no doubt that machine learning (ML) and artificial intelligence (AI) have the power to accelerate digital transformation, but businesses are just beginning to realise the potential opportunities offered by AI and associated technology. AI is being used to predict outcomes, automate decisions and open up new avenues for generating revenue. Driving efficiencies and digitally transforming organisations of all shapes and sizes. So, if AI isn't part of your digital transformation yet, it should be. Kortical, who use AI to build AI, enabling organisations to build, explain and deploy world class, enterprise grade machine learning and artificial intelligence models, are at the forefront of this trend.

Forecasting time-series data has applications in many fields, including finance, health, etc. There are potential pitfalls when applying classic statistical and machine learning methods to time-series problems. This talk will give folks the basic toolbox to analyze time-series data and perform forecasting using statistical and machine learning models, as well as interpret and convey the outputs. PyData is an educational program of NumFOCUS, a 501 3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other.

Ad man David Ogilvy once famously said: "Give me the freedom of a tight brief." A tight creative brief to agency creative teams eliminates time-wasters and tangential information, making it faster and easier to get from the starting point to an effective creative idea. So does a tight marketing brief from marketing teams to agencies. Rightly or wrongly, for many marketers, the task of writing the brief is often perceived as being time-consuming, repetitive and overly administrative -- in short, it feels a long way from being the conduit to creativity it should be. In fact, it's one area of marketing calling out for the elimination of the unnecessary to unleash the extraordinary.