Mammal-like robots with whiskered touch systems,machines powered by slime and dancing humanoids that can communicate with humans are just a few of the robots invading the Science Museum today. The International Living Machines conference showcases a wide array of strange machines that not only advance robotics but help scientists understand more about nature's living organisms by trying to replicate their functions. Led by the University of Sheffield, the event unites technologists from around the globe to explore the future of biomimetic and biohybrid technologies with a focus on future life-like robots. The international Living Machines conference showcases a wide array of strange machines that help scientists understand more about nature by trying to replicate it. Cutting edge machines in the spotlight include robots that move and sense like animals, biohybrid exhibits that mix biological and artificial parts, including an emotionally-expressive robot controlled by slime mould and the latest biomimetic medical devices that draw their inspiration from the natural world.

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks--as, for example, discovering proofs for mathematical theorems or playing chess--with great proficiency.

SGAI, the British Computer Society Specialist Group on Artificial Intelligence, was founded in June 1980. It is one of Europe's longest established groups working to support the community of artificial intelligence developers and users. SGAI has organised an annual international conference since 1981, as well as colloquia, evening lectures and other events of many kinds. SGAI is a Specialist Group of The British Computer Society and has been a member of EurAi, the European Association for Artificial Intelligence (formerly known as ECCAI), since 1992. To foster achievement, capability and awareness in both business and research in Artificial Intelligence, and to promote the interests of the related community.

That this book is slightly dated in a very dynamic field seems to matter less than I expected. It covers the basic issues, reviews achievements and goals, and is structured well. As a collection by different authors who may not have written their pieces to be collated into a volume by Scientific American, the book works but is patchy. I note that Minsky seems to imply that genes do not have repair mechanisms - untrue, but even this great man admits to off days, although SA's editing role should have clarified this point (as a collection of articles I assume it was even twice published). Similarly, sloppy logic/wording when explaining about engineering another hundred human genes to improve longevity detracts slightly from an otherwise delightful article. Minsky's statement "Might not such people, who feel they might not have much to lose (when they die), be dangerous?" is a gem that applies well beyond this topic.

The late Herbert Simon was a veritable renaissance man. His autobiography, "Models of My Life," discusses the single thread that underlined all of his intellectual conquests in artificial intelligence, sociology, cognitive science, psychology and economics. This one thread, animated by philosophical positivism and ripe scientific thirst, was his deep obsession with modeling and researching decision-theoretic behavior. It's interesting to note that even though decision theory (how intelligent agents percieve and act upon choices amid various modalities) serves as the impetus for Simons work, he uses "Models" instead of "Model" in the book's title. For you see, beautifully fitting of his memoir, this book delves into how Simon's one passion was his "heuristic" in choosing which of many paths he could have taken througout his life. The upshot: Simon's own life emulated the heuristic search (in AI) that he helped invent!

Where and how in the cerebral cortex do single neurons process more than one sensory modality during perceptual judgments?

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Search engines use machine learning for pattern detection. While it's impossible to explain in one short article how machine learning influences our lives, understanding the basics of machine learning can give you some insight into search algorithm updates, such as Google's Panda update. To predict the outcome of future tests, scripts can use supervised learning on past outcomes to define a hypothetical prediction line. The three images below show how plotted examples define averages. These averages are more likely to represent some truth as the training set grows.

Antipoaching patrols like this team at the Lewa Wildlife Conservancy in Kenya may soon use AI technology to stay one step ahead of criminals. Poachers kill an estimated 96 African elephants every day, causing conservationists to warn that the iconic animals could disappear in our lifetime if the tide doesn't turn. But now scientists hope a new artificial intelligence (AI) tool could help wildlife officials get a leg up against poachers. PAWS, which stands for Protection Assistant for Wildlife Security, is a newly developed AI that takes data about previous poaching activities and outputs routes for patrols based on where poaching is likely to occur. These routes are also randomized to keep poachers from learning patrol patterns.

I teach one of the world's most popular MOOCs (massive online open courses), "Learning How to Learn," with neuroscientist Terrence J. Sejnowski, the Francis Crick Professor at the Salk Institute for Biological Studies. The course draws on neuroscience, cognitive psychology, and education to explain how our brains absorb and process information, so we can all be better students. Since it launched on the website Coursera in August of 2014, nearly 1 million students from over 200 countries have enrolled in our class. We've had cardiologists, engineers, lawyers, linguists, 12-year-olds, and war refugees in Sudan take the course. We get emails like this one that recently arrived: "I'll keep it short. I've recently completed your MOOC and it has already changed my life in ways you cannot imagine. I just turned 29, am in the middle of a career change to computer science, and I've never been more excited to learn."