Cognitive communications have emerged as a promising solution to enhance, adapt, and invent new tools and capabilities that transcend conventional wireless networks. Deep learning (DL) is critical in enabling essential features of cognitive systems because of its fast prediction performance, adaptive behavior, and model-free structure. These features are especially significant for multi-antenna wireless communications systems, which generate and handle massive data. Multiple antennas may provide multiplexing, diversity, or antenna gains that, respectively, improve the capacity, bit error rate, or the signal-to-interference-plus-noise ratio. In practice, multi-antenna cognitive communications encounter challenges in terms of data complexity and diversity, hardware complexity, and wireless channel dynamics. The DL-based solutions tackle these problems at the various stages of communications processing such as channel estimation, hybrid beamforming, user localization, and sparse array design. There are research opportunities to address significant design challenges arising from insufficient data coverage, learning model complexity, and data transmission overheads. This article provides synopses of various DL-based methods to impart cognitive behavior to multi-antenna wireless communications.

"Congratulations, you have been selected for an interview for the professional minigamer position at Open Mind Corporation," a robotic voice announces over a blank screen. I will be guiding you through the interview. The whole process will take no more than 10 minutes. This is the start of An Interview With Alex, a dystopian online interactive experience taking viewers through a "job interview" conducted by an A.I. hiring manager--one that measures tone to score users on a "State of Mind Index." Carrie Sijia Wang, the multimedia artist behind the project, writes that her work is meant to "criticize the present by speculating about the future." But it's not that far off how your next job interview might look, if you're applying for high-volume, low-skilled roles (or even some high-skilled ones).

TEACH ME AND I REMEMBER. I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Life is a journey through learning experiences.

Artificial intelligence (AI) can detect loneliness with 94 per cent accuracy from a person's speech, a new scientific paper reports. Researchers in the US used several AI tools, including IBM Watson, to analyse transcripts of older adults interviewed about feelings of loneliness. By analysing words, phrases, and gaps of silence during the interviews, the AI assessed loneliness symptoms nearly as accurately as self-reports of loneliness and questionnaires completed by the participants themselves, which can be biased. The AI also revealed that lonely individuals tend to have longer responses to direct questions about loneliness, and express more sadness in their answers. 'Most studies use either a direct question of "how often do you feel lonely", which can lead to biased responses due to stigma associated with loneliness,' said senior author Ellen Lee at UC San Diego (UCSD) School of Medicine.

Ask Stefan Jockusch what a factory might look like in 10 or 20 years, and the answer might leave you at a crossroads between fascination and bewilderment. Jockusch is vice president for strategy at Siemens Digital Industries Software, which develops applications that simulate the conception, design, and manufacture of products like cell phones or smart watches. His vision of a smart factory is abuzz with "independent, moving" robots. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "Depending on what product I throw at this factory, it will completely reshuffle itself and work differently when I come in with a very different product," Jockusch says. "It will self-organize itself to do something different." Behind this factory of the future is artificial intelligence (AI), Jockusch says in this episode of Business Lab. But AI starts much, much smaller, with the chip.

The videos i this article will blow your mind... and they are already out of date. Soul Machines is on the cutting edge of building commercial AI avatars that can appear on a computer screen, and even in 3D, to simulate face-to-face engagement. The face in the main image of this article is one of their 3D avatars and they are already being deployed in banks and energy companies to inform and serve customers. With names such as Jamie (ANZ Bank), Will (Vector Energy), Ava (Autodesk), and Sarah (Daimler Mercedes Benz), they are connecting with customers, replicating human emotion, providing the right answers and asking insightful questions. Many call centre workers in affluent countries have been'off-shored' to lower cost countries, and now those roles are set to be outsourced to AI bots.

Penelope Prett joined Accenture in 1992 and became CIO in 2019. Along the way, she has developed keen insight into how to deliver IT value to a $43.2 billion global company with 500,000 employees, who are responsible for delivering IT value to their clients. I spoke with Prett about her approach to leadership, the most impactful technologies of the day, how she forms and empowers her teams, and her advice for tomorrow's CIOs. What follows is an edited version of our interview. Martha Heller: How do you define your role as CIO of Accenture?

You may have missed it, but the Association for the Advancement of Artificial Intelligence (AAAI) just announced its first annual Squirrel AI award winner: Regina Barzilay, a professor at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). In fact, if you're like me, you may have missed that there was a Squirrel AI award. But there is, and it's kind of a big deal, especially for healthcare -- as Professor Barzilay's work illustrates. The Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity (Squirrel AI is a Chinese-based AI-powered "adaptive education provider") "recognizes positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects." The award carries a prize of $1,000,000, which is about the same as a Nobel Prize.

MetroLab Network has partnered with Government Technology to bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data and innovation projects underway between cities and universities. If you'd like to learn more or contact the project leads, please contact MetroLab at info@metrolabnetwork.org for more information. In this month's installment of the Innovation of the Month series, we explore the work of Julia Stoyanovich, an assistant professor of Computer Science, Engineering, and Data Science at New York University, and Falaah Arif Khan from Data, Responsibly, who are creating comics designed to increase awareness of responsible data science. MetroLab's Ben Levine spoke with the two about the background and development of their project. Ben Levine: Can you tell us about the origin of the Data, Responsibly project and who has been involved in it?

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow.