Harvard University has been awarded 28 million ( 19m) to investigate why brains are so much better at learning and retaining information than artificial intelligence. The award, from the Intelligence Advanced Projects Activity (IARPA), could help make AI systems faster, smarter and more like human brains. While many computers have a comparable storage capacity, their ability to recognise patterns and learn information does not match the human brain. But a better understanding of how neurons are connected could help develop more complex artificial intelligence. Most neuroscientists estimate that the'storage capacity' for the human brain ranges between 10 and 100 terabytes, with some evaluations putting the number at close to 2.5 petabytes.

The Big G wants its app to be more conversational, so it's feeding a neural network with steamy sex scenes and hot encounters. According to Buzzfeed News, the network has been devouring a collection of 2,865 romance novels over the past few months, with saucy titles like Fatal Desire and Jacked Up. It seems to be working too: it was able to write sentences resembling passages in the books during the researchers' tests. While the AI now has what it takes to become an erotic novelist, the team's real goal is to use its newly acquired conversational tone with the Google app.

The evidence of our displacement by machines is sketchy, and we should be able to adjust to the new technological era if we put our minds to it. OPINION: It is now widely accepted that technological advances, especially ones that make machines more like humans - such as robotisation or artificial intelligence - are putting people out of work and will only destroy more jobs in the future. The wealth will accrue to those who own the machines, not to what's known as the middle class today. There's some good news for humans, though: The evidence of our displacement by machines is sketchy, and we should be able to adjust to the new technological era if we put our minds to it. Eric Brynjolfsson and Andrew McAfee of the Massachusetts Institute of Technology labelled this "the great decoupling": according to them, advances in productivity, mainly driven by the development of digital technology, and the resulting economic growth, no longer cause employment and workers' incomes to rise.

When it comes to sports teams, marketing is everything. You have to sell tickets, merchandise and get the deals for TV coverage, though the latter is usually covered by a deal with the league. Now the NBA's Portland Trail Blazers is teaming up with Microsoft in an effort to obtain the data it needs to increase its revenue. To accomplish that goal the team is turning big data and the power of the Cortana Intelligence Suite, Microsoft's digital assistant. The goal is selling more season tickets, a tough sell given that most ticket buyers tend to not change their habits from year to year according current data.

The rap on eBay's website is that it's too messy, forcing users to pick through page after page of listings to find what they really want. Plenty of customers just give up and head to Amazon instead. The good news is that eBay knows this is a problem and is working to fix it. The bad news is that eBay on average hosts 900 million listings -- from new ink cartridges to one-of-a-kind porcelain dolls -- making sorting all this stuff a humongous job. As part of its push to offer up more relevant products to shoppers, eBay on Thursday said it agreed to purchase Sweden-based Expertmaker, a 10-year-old software firm specializing in artificial intelligence and machine learning to help organize and analyze huge sets of data.

When it was revealed that Google's London-based company DeepMind would be able to access the NHS records of 1.6 million patients who use three London hospitals run by the Royal Free NHS trust – Barnet, Chase Farm and the Royal Free – it rang alarm bells. Not just because Google, a sprawling octopus of a company with tentacles in all our lives, wishes to "organise the world's information". Not just because patients are unlikely to have consented to Google having this information. The issue for many is the intertwining of these concerns with the idea of artificial intelligence (AI). DeepMind is no ordinary company.

Some readers were skeptical of the idea that A.I.'s interests could ever correspond with our own, despite the work of researchers such as Stuart Russell who are trying to ensure that computers can learn to recognize what's most important to humans. As one who took such a position put it, "A.I. will likely just be a very, very smart machine and the concept of'interests' might not bear." Instead, "We should worry more about whether the interests of private and military A.I. R&D teams align with our public interests," a reader suggested. Another wrote that "terrorist groups and … enemy nation states" presented the greater risk. And others continued to hold that the real trouble is that there's no such thing as human interest per se, as did one who wrote, "We humans can't even agree on what constitutes'good' and what constitutes'evil.' "

This week at the Openstack Developers Summit we are excited to showcase how Canonical with IBM, Mesosphere, Skymind and Data Fellas are working together to make the opportunities of deep learning easier for everyone to access. Deep learning is a completely new way of building applications. These applications, built around neuronet models rapidly become self learning and self evolving. Make no mistake this is, once again, a paradigm shift for our industry. It opens up a new world of very exciting possibilities.

Google has been granted access to approximately 1.6 million NHS patient records so that its artificial intelligence company can develop an app-based healthcare warning system. According to New Scientist magazine, the data sharing agreement gives Google's artificial intelligence company DeepMind access to patient data at the Royal Free, Barnet and Chase Farm hospitals run by the Royal Free NHS Trust. The deal, which makes five years' worth of data available, will be used by DeepMind to build an app-based early warning system for patients at risk of acute kidney injuries. However, Google has not ruled out using the information for other purposes if it involved improving healthcare. The shared data includes full names and patient histories, as well as sensitive information on HIV testing, details of abortions, drug overdoses and real-time NHS data on admissions, discharges and patient transfers.

Tips: The kit is without arm. Module factory has built in a good program, you need to assemble together,then start playing! Video resolution up to 1280*720p, 5DB Increased external WiFi antenna?stronger signal?long-distance