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'The Callisto Protocol' Review: Guts, Death, and Robots

NPR Technology

The unfortunate Jacob Lee, The Callisto Protocol protagonist beset by the game's countless horrors. The unfortunate Jacob Lee, The Callisto Protocol protagonist beset by the game's countless horrors. Terrifying and brilliantly immersive, it showed how much a game could get us to tense up and squirm in our seats. Now, Dead Space's director, Glen Schofield, is back with The Callisto Protocol. He and his new studio took what worked for that classic and cranked it up to 11. "I asked them what type of game they were trying to create," says The Boys star Karen Fukuhara, who plays central character Dani Nakamura in the game.


'The Last of Us Part II' and 'Animal Crossing' take early wins: Winners, top moments from The Game Awards

USATODAY - Tech Top Stories

This story will continue to be updated. It's a big night for video games, where the top achievements will be honored at The Game Awards, which will be broadcast live online from Los Angeles, London and Tokyo. Nominated for the top award, Game of the Year, is "The Last Of Us Part II," "Hades," "The Ghost of Tsushima," "Animal Crossing: New Horizons," "Doom Eternal," and "Final Fantasy VII Remake." Among other games that raked in multiple nominations: the Sony PlayStation 4 exclusive "The Last Of Us Part II," released in June, earned the most (10). "Hades," a PC game also released for the Nintendo Switch in September, earned eight, while "The Ghost of Tsushima," released in July, got seven.


Jack Schofield, Guardian's Ask Jack tech columnist, dies at 72

The Guardian

Jack Schofield, the Guardian's former computer editor and author of its technology advice column, Ask Jack, for almost 20 years, has died aged 72. Schofield was taken to hospital following a heart attack on Friday night and died on Tuesday afternoon. The Guardian's editor-in-chief, Katharine Viner, said: "Jack Schofield was one of the first true technology and computing experts in British journalism. In more than 35 years writing for the Guardian, he saw (and foresaw) the rise of personal computers, the advent of the internet, Google, smartphones and much more. His Ask Jack column was an essential and expert guide for generations of Guardian readers. Our thoughts are with Jack's family and friends at this sad time."

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The voracious and invasive lionfish is taking over the Atlantic. Here's why.

FOX News

Lionfish are voracious eaters and can expand their stomachs 30 times their original volume to accommodate that appetite. One of the most notorious invasive species around, the lionfish, is known for its voracious appetite and can literally eat its competitors out of an ecosystem. And that's what the striking fish is doing, feasting its way through waters that stretch from the Gulf of Mexico to the Eastern Seaboard. Now, scientists and startups are crafting methods for capturing and killing the hungry invaders. But while these new ideas show promise, tried-and-true spearfishing seems to be the most effective way to eradicate lionfish, scientists told Live Science. "It's actually hard to describe how a lionfish eats because they do it in a split second," said Kristen Dahl, a postdoctoral researcher at the University of Florida.


Artificial intelligence used to recognize primate faces in the wild

#artificialintelligence

'For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much,' says Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology. 'By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations.' The computer model was trained using over 10 million images from Kyoto University's Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa. The new software is the first to continuously track and recognise individuals in a wide range of poses, performing with high accuracy in difficult conditions such as low lighting, poor image quality and motion blur. 'Access to this large video archive has allowed us to use cutting edge deep neural networks to train models at a scale that was previously not possible,' says Arsha Nagrani, co-author of the study and DPhil student at the Department of Engineering Science, University of Oxford.


Artificial intelligence used to recognize primate faces in the wild

#artificialintelligence

Scientists at the University of Oxford have developed new artificial intelligence software to recognise and track the faces of individual chimpanzees in the wild. The new software will allow researchers and wildlife conservationists to significantly cut back on time and resources spent analysing video footage, according to the new paper published today in Science Advances. "For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much," says Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology. "By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations." The computer model was trained using over 10 million images from Kyoto University's Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa.


Lifting Model Sampling for General Game Playing to Incomplete-Information Models

Schofield, Michael (University of New South Wales) | Thielscher, Michael (University of New South Wales)

AAAI Conferences

General Game Playing is the design of AI systems able to understand the rules of new games and to use such descriptions to play those games effectively. Games with incomplete information have recently been added as anew challenge for general game-playing systems. The only published solutions to this challenge are based on sampling complete information models. In doing so they ground all of the unknown information, thereby making information gathering moves of no value; a well-known criticism of such sampling based systems. We present and analyse a method for escalating reasoning from complete information models to incomplete information models and show how this enables a general game player to correctly value information in incomplete information games. Experimental results demonstrate the success of this technique over standard model sampling.


COMPLETE SOLUTION OF THE'EIGHT-PUZZLE' P. D. A. SCHOFIELD

AI Classics

'For the last few weeks, the "Fifteen-puzzle" has been prominently before the American Public, and may safely be said to have engaged the attention of nine out of ten persons of both sexes and of all ages and conditions of the community.' The Tight-puzzle' is a reduced form of the'Fifteen-puzzle', the subject of the somewhat extravagant claim quoted above. Its use in the study of learning processes, both human and programmed, is described in two other papers in this volume, Michie (p. This paper describes the calculation of optimum solutions to all the 20 160 possible versions of the puzzle. The'Eight-puzzle' consists of eight square pieces, numbered 0-7,f capable of sliding in a shallow square tray of size nine times that of the individual pieces: there is thus one empty square.