Pictionaryplaying computer connects to humans deep thoughts

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Country Lloyd Bishop/NBC/NBCU Photo Bank via Getty Images By Matthew HutsonFeb. 5, 2019 , 10:00 AM Country * Afghanistan Aland Islands Albania Algeria Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia, Plurinational State of Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, the Democratic Republic of the Cook Islands Costa Rica Cote d’Ivoire Croatia Cuba Curaçao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Holy See (Vatican City State) Honduras Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Korea, Democratic People’s Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, the former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Martinique Mauritania Mauritius Mayotte Mexico Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Norway Oman Pakistan Palestine Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Qatar Reunion Romania Russian Federation Rwanda Saint Barthélemy Saint Helena, Ascension and Tristan da Cunha Saint Kitts and Nevis Saint Lucia Saint Martin (French part) Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (Dutch part) Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Islands South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan Tajikistan Tanzania, United Republic of Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Vietnam Virgin Islands, British Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe For decades, scientists have sought to give computers common sense—a basic understanding of the world that lets humans navigate everything from conversation to city traffic. Now, researchers have come up with a new approach: They’ve designed an artificial intelligence (AI) that can abstract knowledge and generalize it to play the surprisingly subtle drawing game Pictionary.“This is a first step toward exploiting common sense,” says Aniruddha Kembhavi, a computer scientist on the project at the Allen Institute for Artificial Intelligence (AI2), a nonprofit lab in Seattle, Washington. Angeliki Lazaridou, a computer scientist at DeepMind in London who tried the game, agrees. She says the AI learns how people understand basic concepts by finding the minimum elements required to convey them.Previously, computer scientists aimed for common sense by programming AIs with the laws of physics or uploading lists of facts. That works for pool or trivia night. But Pictionary is far more complex: It asks players to guess words or phrases based on the sketches of a partner. That requires abstraction, reasoning, communication, and collaboration. Pictionary involves expressing ideas with simple sketches.center_img Pictionary-playing computer connects to humans’ ‘deep thoughts’ Email Click to view the privacy policy. Required fields are indicated by an asterisk (*) The researchers created a new game, Iconary, where players select from 1200 icons (images that depict trees or arrows, say) and arrange them to convey a randomly generated phrase. A partner then guesses the phrase until they get it right—or asks for new sketch.They also created an AI, made public today on their website, that anyone can play Iconary with. It learned by watching 100,000 games between human players. The AI relies on neural networks, software that emulates the brain by learning from experience, and a vast database of numeric codes used in translation software. The codes represent the meaning of words: “Chair” and “couch,” for example, are closer in value than “chair” and “dog.” The AI translates words into codes—using the entire phrase as context—but instead of translating the codes into another language, it translates them into icons.“We wanted to build an AI system that can collaborate with human beings, and at the same time is learning about how humans think, how they act,” says Ali Farhadi, an AI2 computer scientist on the project. Going forward, he adds, it will learn by playing against people.AI experts have mixed reactions to the new algorithm’s importance. Catherine Havasi, a computer scientist at the Massachusetts Institute of Technology in Cambridge, appreciates its ability to generalize, given the inflexibility of many machine learning algorithms. “There’s a depth here, and the ability to take things it learns from one phrase or one instance and generalize to others,” she says. But Ernest Davis, a computer scientist at New York University in New York City, was more skeptical of the project’s link to common sense. Much of the task is simply matching words to icons. “That’s a very limited form of commonsense knowledge,” he says.A key element of the new system is that it can resketch ideas based on a partner’s guesses. Farhadi senses a real collaboration when playing: “I actually kind of feel that this system is connecting to me deep in my thoughts.”last_img

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