Elite sport is now awash with data. As athletes and management look to gain every competitive advantage they possibly can, they are gathering information about all aspects of individual and team performances in booth training and matchplay, as well as a raft of other metrics. The confidence with machine learning often needed to get coaches to the pinnacle of their field means that some are still reluctant to cede ground to algorithms and machines, but inherent prejudices and the fallibility of human memory mean that the brain is an inefficient tool for processing complex information, especially in the time required during sports games. This is especially true for team sports, where they must monitor a number of players at once. Machine Learning can be applied to sports in a range of ways, with data now accessible about almost anything.

Driscoll's is so secretive about its robotic strawberry picker it won't let photographers within telephoto range of it. But if you do get a peek, you won't see anything humanoid or space-aged. AgroBot is still more John Deere than C-3PO -- a boxy contraption moving in fits and starts, with its computer-driven sensors, graspers and cutters missing 1 in 3 berries. Such has been the progress of ag-tech in California, where despite the adoption of drones, iPhone apps and satellite-driven sensors, the hand and knife still harvest the bulk of more than 200 crops. Now, the $47-billion agriculture industry is trying to bring technological innovation up to warp speed before it runs out of low-wage immigrant workers.

A silent communications system in which nonaural carriers, in the very low or very high audio-frequency range or in the adjacent ultrasonic frequency spectrum are amplitude- or frequency-modulated with the desired intelligence and propagated acoustically or vibrationally, for inducement into the brain, typically through the use of loudspeakers, earphones, or piezoelectric transducers. The modulated carriers may be transmitted directly in real time or may be conveniently recorded and stored on mechanical, magnetic, or optical media for delayed or repeated transmission to the listener.

Australian law explicitly allows computers to make important decisions previously made by the ministers or staff of at least 11 federal government departments. This has been going on since at least 2001, well before the age of algorithms, and yet there remains little clarity about exactly what decisions are being entrusted to the computers. As best we can tell, the first legislation allowing computers to automatically make important decisions with real impact on people's lives was the Social Security (Administration) Act -- which also happens to be the critical piece of legislation that allowed the most high-profile and controversial automated government program so far, Centrelink's'robodebt' endeavour. The legislation giving computers decision-making power over social security is very short and, as these things go, easy to understand. It was introduced in 2001 along with a slew of other provisions around debt recovery.

So far, the company has completed two acquisitions, relocated its headquarters to Melbourne, and is now in the process of expanding its cognitive computing and machine learning footprint. Mark Armstrong, vice president and managing director of international operations for APJ and EMEA, for Progress, discusses the company's mission to democratise data science and make technologies such as machine learning, predictive maintenance and Artificial Intelligence more accessible so businesses in Australia and New Zealand can succeed. One of the reasons for our success in the region is the strong collaboration with our local channel partners. We have a strong partner program, and our A/NZ partners have delivered incredible value to the Progress' ecosystem in the past year. Actually just last May, three of our Australian partners were awarded by Progress' Global Partner Awards, amongst the 18 winners across 10 countries.

We are familiar with the famous saying "dog is a man's best friend," but no one could figure out exactly why this particular animal carries the capability of being so friendly toward humans. According to a study published Wednesday, the reason behind humans and dogs striking a common cord might be because the latter descended from wolves. The study found that hyper-social canines carry variants of the genes GTF2I and GTF2IRD1, the deletion of which, in humans, triggers the Williams-Beuren Syndrome, or more commonly known as the Williams syndrome. Bridgett vonHoldt of Princeton University and her colleagues studied a portion of DNA in dogs that included 29 genes. They noticed that deletion of part or all of this section due to prolonged domestication seemed to cause the overtly friendly nature in dogs.

You list your symptoms, answer a few questions about how long they've lasted and whether they seem to be getting worse. Then, without ever leaving home or queueing at the clinic, you get the diagnosis: a strained neck. Or, at least, eight out of 10 people with those symptoms have one. Would you like to have your case reviewed by a human doctor? The free app Ada, which offered up this diagnosis, was launched in the UK in April.

This article was first published on the IEC e-tech website. Rapid advances in technology are revolutionizing the roles of aerial, terrestrial and maritime robotic systems in disaster relief, search and rescue (SAR) and salvage operations. Robots and drones can be deployed quickly in areas deemed too unsafe for humans and are used to guide rescuers, collect data, deliver essential supplies or provide communication services. The first reported use of SAR robots was to explore the wreckage beneath the collapsed twin towers of the World Trade Center in New York after the September 2001 terrorist attacks. Drones and robots have been used to survey damage after disasters such as the Fukushima Daiichi nuclear power plant accident in Japan in 2011 and the earthquakes in Haiti (2010) and Nepal (2015).

I was recently invited to participate as a panelist at Firebrand Talent's'Put it to the Panel' event on how Artificial Intelligence (A.I.) is changing the marketing profession. And as I am often asked about this topic, in the spirit of sharing, here are some of my thoughts. I am often asked about which APIs and A.I. technology, marketers should consider. Artificial Intelligence enables marketers to personalise and create more effective customer experiences, and improve ROI. At the core, artificial intelligence is all about technology, which enables humans to make better, more informed decisions.

We should have been more specific. Organizers say this event is the first global robotics competition specifically for high school students. There have been other robotics competitions with teams from multiple countries.]