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.

I propose a new tool to characterize the resolution of uncertainty around FOMC press conferences. It relies on the construction of a measure capturing the level of discussion complexity between the Fed Chair and reporters during the Q&A sessions. I show that complex discussions are associated with higher equity returns and a drop in realized volatility. The method creates an attention score by quantifying how much the Chair needs to rely on reading internal documents to be able to answer a question. This is accomplished by building a novel dataset of video images of the press conferences and leveraging recent deep learning algorithms from computer vision. This alternative data provides new information on nonverbal communication that cannot be extracted from the widely analyzed FOMC transcripts. This paper can be seen as a proof of concept that certain videos contain valuable information for the study of financial markets.

Fox News contributor Karl Rove reacts to Trump blasting the media and Big Tech for being'massively corrupt.' WASHINGTON – Congressman-elect Jay Obernolte, a 50-year-old who is a video game developer by trade, will be a bit of an outlier in Congress. That's because members of Congress are not necessarily known as a technologically savvy bunch. This reputation has been earned by many awkward moments and stumbles by members when discussing tech, including in a 2018 hearing when Rep. Steve Cohen, D-Tenn., told Alphabet CEO Sundar Pichai, "I use your apparatus often," referring to Google, the search engine. But Obernolte – whose company FarSight Studios creates games for a variety of platforms ranging from PlayStation to iOS – said that, with the right approach, Congress can and should effectively address major tech issues ranging from net neutrality to Section 230. "I actually think that sometimes we get caught up in jargon from a technological standpoint, which is not helpful because I don't think the technology is unapproachable," he told Fox News in an interview.

As artificial intelligence (AI) becomes ubiquitous in fields such as medicine, education and security, there are significant ethical and technical challenges to overcome. While the credits to Star Wars drew to a close in a 1970s cinema, 10-year-old Cynthia Breazeal remained fixated on C-3PO, the anxious robot. "Typically, when you saw robots in science fiction, they were mindless, but in Star Wars they had rich personalities and could form friendships," says Breazeal, associate director of the Massachusetts Institute of Technology (MIT) Media Lab in Cambridge, Massachusetts. "I assumed these robots would never exist in my lifetime." A pioneer of social robotics and human–robot interaction, Breazeal has made a career of conceptualizing and building robots with personality.

The gendering of robots is something I've found fascinating since I first started building robots out of legos with my brother. We all ascribe character to robots, consciously or not, even when we understand exactly how robots work. Until recently we've been able to write this off as science fiction stuff, because real robots were boring industrial arms and anything else was fictional. However, since 2010, robots have been rolling out into the real world in a whole range of shapes, characters and notably, stereotypes. My original research on the naming of robots gave some indications as to just how insidious this human tendency to anthropomorphize and gender robots really is.

CSE Assistant Professor Rose Yu, who recently arrived from Northeastern University in Boston, is developing physics-guided machine learning techniques to model spatiotemporal data. She investigates traffic flows, human mobility and fluid dynamics, but her passion for computer science began more humbly. "I think it was because of my love for computer video games," said Yu. "I played a lot of World of Warcraft in high school." That pastime sparked an early interest in computers and later in machine learning. Yu earned her PhD at USC, where she was honored for best dissertation.

CONTENTshift is the accelerator program of the German Book Publishers and Printers Association. Below you will find more interviews from past batches. We used to record the interviews directly at Frankfurt Book Fair, but since it is canceled this year due to Corona, we resorted to remote only interviews. At the time of the recording, we did not know who won the final award. We will publish the exclusive interview with them as the last of our series this year.

Marc Peter Deisenroth is DeepMind Chair in Artificial Intelligence at the Department of Computer Science, University College London. Prior to this, he was a faculty member in the Department of Computing, Imperial College London. His research areas include data-efficient learning, probabilistic modeling, and autonomous decision making. Deisenroth was Program Chair of the European Workshop on Reinforcement Learning (EWRL) 2012 and Workshops Chair of Robotics Science and Systems (RSS) 2013. His research received Best Paper Awards at the International Conference on Robotics and Automation (ICRA) 2014 and the International Conference on Control, Automation and Systems (ICCAS) 2016.

A Photonics researcher at the University of Strathclyde has received a prestigious fellowship to support his development of ultra-fast Artificial Intelligence (AI) technologies for medicine, security and renewable energy. Dr Antonio Hurtado, Senior Lecturer at Strathclyde's Institute of Photonics, is one of 15 recipients of Turing AI Acceleration Fellowships, supported by a £20million government investment and delivered by UK Research and Innovation (UKRI) to lead innovative and creative AI research with transformative impact. Dr Hurtado aims to develop ultrafast yet energy efficient AI systems using photonic devices which operate through low-energy light signals, such as the semiconductor lasers that can be found in mobile phones and supermarket barcode scanners. Dr Hurtado said: "In today's world, the ability to process vast amounts of data fast and efficiently is crucial in sectors such as energy, healthcare and finance. AI systems are key tools to make sense of huge volumes of data but consume very high levels of energy and increasingly contribute to global greenhouse gas emissions. "Operating in a similar way to the biological neurons that process information in the brain, the new photonic devices will be able to process data at high speeds while reducing energy consumption, helping the UK to meet its net zero carbon ambitions by 2050.

The winners of the NeurIPS 2020 awards have been announced. This year, three papers have received Best Paper Awards. There was also one Test of Time Award; this recognises a paper that has had significant and lasting impact on the community. No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti Abstract: The existence of simple, uncoupled no-regret dynamics that converge to correlated equilibria in normal-form games is a celebrated result in the theory of multi-agent systems. Specifically, it has been known for more than 20 years that when all players seek to minimize their internal regret in a repeated normal-form game, the empirical frequency of play converges to a normal-form correlated equilibrium.