I propose to consider the question, 'Can machines think?' This should begin with definitions of the meaning of the terms'machine' and'think'. The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous. If the meaning of the words'machine' and'think' are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to the question, 'Can machines think?' is to be sought in a statistical survey such as a Gallup poll. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words. The new form of the problem can be described in terms of a game which we call the'imitation game'. It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart from the other two. The object of the ...

Today we're joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we've learned about the coronavirus since it's emergence, and the role of tech in understanding and preventing the spread of the disease.

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.

Nikolay Ironov had been working as a graphic designer for more than a year before he revealed his secret. Lebedev Studio -- Russia's largest design company -- Ironov had already worked on more than 20 commercial projects, creating everything from beer bottle labels to startup logos. But Ironov was not the person he claimed to be. In fact, the designer was not a person at all. Lebedev Studio revealed the truth to its clients: their logos had been created by an AI system.

ACM athena award recipient Elisa Bertino, a professor at Purdue University and research director of the Cyber Space Security Lab of Purdue's Department of Computer Science, has spent her career trying to ensure the security and integrity of the information that is stored in databases and transmitted over mobile, social, cloud, Internet of Things (IoT), and sensor networks. Here, she talks about how her research interests have evolved and why she's not pessimistic about the future of cybersecurity. You began your research career in the field of databases, first at the Italian National Research Council, and later as a post-doc at IBM's San Jose Research Laboratory. What drew you to security? My original interest in security began at IBM, where I was looking into how to protect the data stored in databases.

As we launch into the first day of Transform 2020 (July 15-17), we're thrilled to announce the nominees for the second annual Women in AI Awards. The Awards are part of our continuing commitment to diversity in AI, which kicks off shortly with the Women in AI Breakfast. PT), and this year will be livestreamed to the public. Then on the last day of Transform, we'll be announcing the Award winners -- a daunting task given the incredible crop of women put forward. The women nominated below have all made outstanding contributions in the AI field, from advancing the work in ethics and fairness in AI, to trailblazing research critical to AI innovation, to ensuring young women entering the field have the opportunity and mentorship necessary to thrive.

President Trump joins Fox News medical contributor Dr. Marc Siegel for an exclusive interview on'Tucker Carlson Tonight.' Joe Biden should take the same cognitive test that President Trump recently took, the president said Wednesday during an interview with Fox News medical contributor Dr. Marc Siegel. "In a way he has an obligation to," Trump said of the presumptive Democratic presidential nominee, adding that the presidency requires "stamina" and "mental health." Trump said he took the test to prove to the media that he was fit to serve in the presidency after reports supposedly questioned his cognitive ability. Trump has used the argument that Biden -- at age 77, three years older than Trump -- is too old to run for president . The argument is a cornerstone strategy of Trump's reelection campaign against the former vice president.

The tech industry pays programmers handsomely to tap the right keys in the right order, but earlier this month entrepreneur Sharif Shameem tested an alternative way to write code. First he wrote a short description of a simple app to add items to a to-do list and check them off once completed. Then he submitted it to an artificial intelligence system called GPT-3 that has digested large swaths of the web, including coding tutorials. "I got chills down my spine," says Shameem. "I was like, 'Woah something is different.'" GPT-3, created by research lab OpenAI, is provoking chills across Silicon Valley.

In this episode, I have a great conversation about chatbots, artificial intelligence, machine learning and much more with my guest Jordi Torras, the founder of Inbenta, who focuses on AI and Natural Language Processing for chatbots and search engines. ******************************* Questions Asked ******************************* Tell us about your background. Why do you focus on AI (artificial intelligence)? Do you think that computers will ever become self aware? Tell us about Inbenta. What is a chatbot? Do chatbots continually learn? How do chatbots work on the backend? Tell us about intents and utterances. How is machine learning helping chatbots know more? Explain what symbolic AI is? What is language? How do we embed a chatbot in the world that you want it to learn more about? What's the difference between learning and acquiring a language? What's the difference between AI, Machine Learning and Natural Language Processing? Give us an example of symbolic AI. Tell us about AIML? What kind of skills do developers need to have to work with chatbots? How do buyer personas affect a chatbot? What is sentiment detection? How do you give chatbots the company's personality? What is conversation flow and how is it set up? Is there a tool or standard for implementing conversation flow? How can we make chatbots more human like? What are your thoughts on avatars for chatbots? What is the uncanny valley or zombie affect? ******************************* Reference Links ******************************* Inbenta (https://www.inbenta.com/en/)

Marc Habermann received an Honorable Mention in the Best Student Paper category at CVPR 2020 for work with Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll and Christian Theobalt on "DeepCap: Monocular Human Performance Capture Using Weak Supervision". Here, Marc tells us more about their research, the main results of their paper, and plans for further improvements to their model. The topic of our work is monocular human performance capture which focuses on capturing the pose as well as the deforming 3D surface of a person from a single RGB video. In a daily life scenario, one can then record a video of a person just using his smartphone and DeepCap can recover the 3D geometry of the person who was recorded. It is worth noting that the monocular setting makes it especially challenging due to the inherent depth ambiguity and the large amount of occlusions.