According to legend, the medieval philosopher and Franciscan friar Roger Bacon created an all-knowing artificial brain, which he encased in a bronze, human-like head. Bacon, so the story goes, wanted to use the insights gleaned from this "brazen head" to make sure Britain could never be conquered. Following Bacon, a long-standing challenge for engineers and computer scientists has been to build a silicon-based replica of the brain that could match, and then exceed, human intelligence. This ambition pushes us to imagine what we might do if we succeed in creating the next generation of computer systems that can think, dream and reason for us and with us. Today there is little talk of brazen heads, but artificial intelligence seems to be everywhere.

A few years ago, I was invited to Minnesota Public Radio to speak about various legal issues related to cybersecurity. To my left was Bruce Schneier, a famous and respected cybersecurity researcher and prolific author. There wasn't much disagreement between us during the interview, though I recall emphasizing a bit more the FTC's cybersecurity efforts, noting that I thought they were doing a pretty good job in the current regulatory vacuum, building a de-facto common law as they went along. In his latest book, "Click Here to Kill Everybody," Schneier argues, among other things, that there is a systemic lack of security in all things computer (something he calls "Internet ", essentially an extension of IoT) and that what is needed to fix this is government intervention. Schneier's call for intervention comes in the form of a new government agency, one that has the ability to "coordinate and advise with other agencies" on the Internet .

The deployment of artificial intelligence (AI) and other advanced technologies could trigger a four per cent decline in the number of lawyers in England and Wales by 2027, according to a new report. The study warns AI could halt the historic year-on-year growth in the number of lawyers in its tracks, with the profession shrinking by 7,000 lawyers to 169,200 when compared to 2017. However, the decline would only happen if AI take-up was even faster than predicted. The report's baseline findings are that the number of lawyers is likely to rise by a modest two per cent over the period, although overall employment in the sector will fall by four per cent thanks to a sharp decline in the number of legal secretaries and other office support staff as their roles are taken over by technology. The report notes: "In 1998 there were two legal professionals to one legal secretary, and the ratio was one to one when adding in other office support staff, but by 2017 the ratios had increased to five legal professionals per legal secretary, and two legal professionals for every secretary or other office support worker. "In 2027, there are projected to be around 20 legal professionals per legal secretary, and five legal professionals for every secretary or other office support worker.

Have you ever wondered how most mammals are capable of fairly complex tasks, like walking, straight after being born? They haven't had time to experience the world yet so they've clearly not learnt how to perform the actions. Their brains must be pre-wired to enable them to walk, but if the brain structure relies on specific weights then an individual learning from its experiences could lose the ability to act shortly after birth, or never have the ability to begin with. Inspired by this, Adam Gaier and David Ha introduced the world to Weight Agnostic Neural Networks (WANN), an evolutionary strategy for developing neural networks which can perform a task independent of the weights of the connections. In this post, we'll briefly look into Weight Agnostic Neural Networks and use a code implementation to train our very own WANNs on the Lunar Lander gym environment.

We've built an AI bot that achieves state-of-the-art results in Hanabi, a collaborative card game that has been cited as a benchmark game for AI research because it features both cooperative gameplay and imperfect information. Our bot outperforms previous AI algorithms at Hanabi by using real-time search to fine-tune its decisions during gameplay. It's the first bot to exceed elite human performance in the game, as judged by experienced players who have evaluated it. Researchers have found it challenging to apply search beyond perfect-information games like chess and Go. Our success with Hanabi suggests search can improve more AI systems and eventually help build AI that learns to master complex cooperative tasks in real-world settings.

In an always advancing cyber threat landscape where antivirus programming and firewalls are viewed as tools of antiquity, companies are currently searching for all the more technologically advanced methods for protecting classified and sensitive data. Artificial intelligence (AI) is accepting the situation as a warrior against digital threats over the globe. It has gotten mainstream in military space, yet security organizations are likewise consolidating AI technologies for using deep learning to discover likenesses and differences within a data set. Organizations like Microsoft are putting 1 billion USD in AI-based organizations, for example, Open AI. As indicated by ESG research, 29% of security experts would like to utilize AI innovation to accelerate the virus detection process.

WEST LAFAYETTE, Ind. – 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."

I did not intend to be single in the rural village where I live. I'd moved there with my fiance after taking a good job at the local university. We'd bought a house with room enough for children. Then the wedding was off and I found myself single in a town where the non-student population is 1,236 people. I briefly considered flirting with the cute local bartender, the cute local mailman – then realised the foolishness of limiting my ability to do things such as get mail or get drunk in a town with only 1,235 other adults. For the first time in my life, I decided to date online. The thing about talking to people on Tinder is that it is boring. I am an obnoxious kind of conversation snob and have a pathologically low threshold for small talk.

As a society, we are finally acquiring a healthy scepticism about the use and abuse of our personal information. New polling conducted by YouGov for the Institute for Public Policy Research shows that 80% of the public want to see tighter rules applied to how the likes of Facebook and Amazon use their data. Over the weekend, it was revealed that US pharmaceutical companies have already been sold data relating to millions of NHS patients and that Amazon, incredibly, has been given free access to NHS data Hidden away in the secret US-UK trade papers, leaked and revealed by Labour in November, is perhaps the biggest single threat to public data yet seen. Instead of the encroaching privatisation of publicly held data, we should be looking to create a "digital commons" The potential threat to the NHS from a post-Brexit US trade deal is clear, and has become a major election talking point. But alongside the well-known dangers of accelerating privatisation and drug price hikes, there are risks to one of the UK's most prized publicly owned resources.

When it comes to AI (Artificial Intelligence), VCs (venture capitalists) continue to be aggressive with their fundings. During the third quarter, 965 AI-related companies in the US raised a total of $13.5 billion. In fact, this year should see a record in total fundings (last year's total came to $16.8 billion). Some of the deals have been, well, staggering. Just look at the $1 billion that Microsoft shelled out for an equity stake in OpenAI (the company is one of the few that is pursuing Strong AI). So what has been the result of all this activity? What have been the breakthroughs for AI this year?