The new products just revealed by Apple at a special event in Brooklyn this week have several things in common. But most notable is the input of Apple's Chief of Design, Sir Jonathan Ive, universally referred to as Jony. He is involved in new products across Apple, including radical upgrades of favourites such as the MacBook Air and the iPad Pro. Ive has been at Apple since 1992 and his keen eye has been part of the iMac, the iPhone, iPad and Apple Watch. He has just been awarded the 2018 Professor Hawking Fellowship because of what the committee felt included a "remarkable role in championing elegant and innovative design".

BlizzCon 2018 is the end of an era. Just a few weeks ago, Blizzard announced that co-founder and longtime president Mike Morhaime would be stepping down, replaced with J. Allen Brack. Today's Opening Ceremony kicked off with Morhaime saying goodbye, and you know what? He was a great presenter, not in the overly slick way I'm accustomed to seeing at these sorts of shows, but with a quietspoken passion for the company he'd helped guide for 20-plus years. Blizzard lives on, though, and while 2019 won't be the most exciting year there's still quite a bit in store--including the long-awaited Warcraft III remaster.

Mario Segale, the inspiration for one of the most recognizable characters in the world, was Nintendo's landlord in Washington state during the 1970s. Mario Segale, the inspiration for one of the most recognizable characters in the world, was Nintendo's landlord in Washington state during the 1970s. Mario Segale, who inspired the plucky plumber Mario -- one of the most recognizable characters in the world, let alone in video games -- has died at age 84. Segale was Nintendo's landlord outside Seattle when the company created Donkey Kong, the classic game that launched the overalls-wearing Mario. Segale never sought to play up the connection, instead focusing on his family's lucrative businesses in heavy construction and real estate development in the bustling Seattle region.

It is the same plane, with the same pilot, that she has flown in almost every year of her childhood. The 50-minute flight will take her over a snowy mountain range, a volcano and an elaborate tundra of blueberries and mushrooms, tea leaves and caribou moss, wildflowers and spider webs. She is heading to her mother's childhood home and the place where she spends her summers - the remote Alaskan village of Iliamna. Without any roads connecting it to the outside world, this is her only way of going'home'. Iliamna, which is an Athabascan word meaning "big ice" or "big lake" sits on the shore of the lake that shares its name.

Consider the term "AI" and what do you picture? Depictions of hyper intelligent machines behaving in cold and ruthless ways, and all with user interfaces that look like early 80s computers. Basically, AI in films look evil and perplexing and perhaps this is why so many of us are afraid. But one woman who is not afraid is Danielle Krettek. She's the Founder and Principal of Google's Empathy Lab, where she leads a team attempting to train empathy into Google's algorithms.

China's research efforts in artificial intelligence (AI) began later than the U.S. and Europe. Early contributions in the 1970s included automated theorem proving, logic reasoning, search, and knowledge engineering. For example, Wen-tsün Wu is a pioneer in automated theorem proving. He received the State Preeminent Science and Technology Award in 2000, an honor bestowed on only 25 Chinese scientists across all fields to date. Bo Zhang and Ruqian Lu received the Life Achievement Award from the China Computer Federation (CCF) for their fundamental contributions respectively on problem solving and knowledge engineering.

With one or other battle, war or conflict raging in many parts of world, what this world needs is peace. And as Nobel prize winner and father of green revolution, Dr.Norman Borlaug famously said, "There cannot be any peace on hungry stomach". If people are well fed and hence happy, they are less likely to engage in conflicts. A group of researchers from Cornell University would use ML techniques to analyse food and market conditions, to predict poverty and malnutrition in poorest region of the planet. The method would use available satellite data to measure solar induced chlorophyll fluorescence (SIF).

In the future, artificial intelligence will diagnose you and pick out the right medication. To provide a human connection. That's according to Kai-Fu Lee, CEO of Sinovation Ventures (创新工场), former president of Google Greater China, and author of the book "AI Superpowers: China, Silicon Valley, and the New World Order." Lee predicts the complicated, technical parts of medicine will be handled by AI. But the role of doctors will change dramatically. Once physicians aren't bound by the scientific requirements of medicine, they will rely more on developing emotional intelligence and good communication when providing care to patients. "Doctors no longer need to have an [encyclopedic] knowledge of all kind of diseases and treatments, which is where mistakes come from," Lee said, in the video interview.

Daniel Kahneman was awarded the Nobel Prize in Economic Science in 2002 for his pioneering studies on the identification and estimation of the psychological factors that influence human behaviour under uncertainty, which led to the birth of a new domain called behavioural economics. Cognitive psychologists have assumed for years, often implicitly, that complex cognitive processes, like human judgement and decision-making (DM), have to be modelled by combining set-theoretic structures and should obey to mathematical relations that resemble those typically used in logic, formalized by Boole (Boolean logic), and probability, axiomatized by Kolmogorov (Kolmogorovian probability) [1]. These structures are known in physics as classical structures: they were originally used in classical physics, and later extended to statistics, psychology, economics, finance and computer science. Classical structures are also implicitly assumed in the so-called Bayesian approach, according to which any source of uncertainty can be formalized probabilistically, while people update knowledge according to the Bayes law of Kolmogorovian probability. Finally, classical structures are the building blocks of subjective expected utility theory (SEUT), providing both the descriptive and the normative foundations of rational DM: in situations of uncertainty, people (should) choose as if they maximized EU with respect to a unique probability measure, satisfying the axioms of Kolmogorov and interpreted as their subjective probability [2, 3]. However, on the one side, empirical research in cognitive psychology has revealed that classical structures are not generally able to model human judgements and decisions, thus making problematical the 1 interpretation of a wide range of cognitive phenomena in terms of standard logic and probability theory. On the other side, Kahneman, Tversky and other authors suggested that these empirical deviations from classicality are "true errors" of human reasoning, whence the use of terms like "effect", "fallacy", "paradox", "contradiction", etc., to refer to such phenomena [4, 5].

A rich line of research attempts to make deep neural networks more transparent by generating human-interpretable 'explanations' of their decision process, especially for interactive tasks like Visual Question Answering (VQA). In this work, we analyze if existing explanations indeed make a VQA model -- its responses as well as failures -- more predictable to a human. Surprisingly, we find that they do not. On the other hand, we find that human-in-the-loop approaches that treat the model as a black-box do.