Network congestion games are a well-understood model of multi-agent strategic interactions. Despite their ubiquitous applications, it is not clear whether it is possible to design information structures to ameliorate the overall experience of the network users. We focus on Bayesian games with atomic players, where network vagaries are modeled via a (random) state of nature which determines the costs incurred by the players. A third-party entity---the sender---can observe the realized state of the network and exploit this additional information to send a signal to each player. A natural question is the following: is it possible for an informed sender to reduce the overall social cost via the strategic provision of information to players who update their beliefs rationally? The paper focuses on the problem of computing optimal ex ante persuasive signaling schemes, showing that symmetry is a crucial property for its solution. Indeed, we show that an optimal ex ante persuasive signaling scheme can be computed in polynomial time when players are symmetric and have affine cost functions. Moreover, the problem becomes NP-hard when players are asymmetric, even in non-Bayesian settings.

The Galaxy S20 Ultra uses artificial intelligence to clean up images taken with the extreme zoom, the company says.

Network capacity planning aims to ensure that sufficient bandwidth is provisioned, allowing network SLA targets, such as delay, jitter, loss, and availability, to be reliably met. Until recently, the network data necessary for insightful capacity planning was generally only available via static, historical, after-the-fact reports. This situation is now rapidly changing. "By pairing advanced data science and cognitive technology such as AI and machine learning, IT can drive new and smarter predictive insights to improve network capacity-planning accuracy," says Ashish Verma, a Deloitte Consulting managing director specializing in cognitive analytics. "This helps organizations unleash data to make more agile decisions, improve operational wisdom, avoid downtime and create a better user experience."

Motorola has hit back at claims that its resurrected Razr can only withstand 27,000 folds before showing signs of damage. CNET conducted a durability test with the new foldable phone last week with a FoldBot and after thousands of rapid folds and just three hours, the Razr's hinge was failing and not fully closing the foldable device. However, the US smartphone-maker says the robot'put undue stress on the hinge' and did not allow the foldable phone to'open and close as intended', the firm told Engadget in a statement. Motorola conducted its own tests with a robot it claims folds the phone properly and revealed users should get'years of use.' In a statement to Engadget, Motorola said: 'razr is a unique smartphone, featuring a dynamic clamshell folding system unlike any device on the market.

This work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting. We summarize the general categories of topology for communication structures in MARL literature, which are often manually specified. Then we propose a novel framework termed as Learning Structured Communication (LSC) by using a more flexible and efficient communication topology. Our framework allows for adaptive agent grouping to form different hierarchical formations over episodes, which is generated by an auxiliary task combined with a hierarchical routing protocol. Given each formed topology, a hierarchical graph neural network is learned to enable effective message information generation and propagation among inter- and intra-group communications. In contrast to existing communication mechanisms, our method has an explicit while learnable design for hierarchical communication. Experiments on challenging tasks show the proposed LSC enjoys high communication efficiency, scalability, and global cooperation capability.

Leonard Hobbs Bio: Leonard graduated from University College Cork Ireland in 1986 with a 1st class honours degree in Electrical Engineering and was awarded the title of'graduate of the year' by the college. He completed a Masters degree at the NMRC (now called Tyndall), at UCC in 1988. He has been one of Ireland's leading technologists in the ICT sector with close to 30 years of experience, mostly with Intel, spanning leading edge research to advanced manufacturing. His last role at Intel was Director of Public Affairs with responsibility for driving Intel Ireland's policy, communications, education and community agendas. Leonard is currently the Director of Research and Innovation at Trinity College Dublin where he owns the definition and implementation of the research, innovation and enterprise strategy for the University spanning research programs development, contract management, technology transfer, entrepreneurship and enterprise partnership liaison.

SAN FRANCISCO – A top U.S. partner at SoftBank Group Corp.'s technology fund is stepping down, after the company posted declining returns on its investments and struggled to raise capital for the next Vision Fund. Michael Ronen, the outgoing managing partner, expressed concerns about "issues" at SoftBank in an interview with the Financial Times, which earlier reported his departure. Since joining in 2017 from Goldman Sachs Group Inc., Ronen led a series of investments, most notably a $2.25 billion deal for General Motors Co.'s Cruise self-driving unit. He's at least the second managing partner to leave in the last couple of months. SoftBank bid up the valuation of WeWork parent company The We Co. to $47 billion before a failed attempt at an initial public offering sent the value plummeting and forced the conglomerate to bail out the coworking startup.

Keysight Technologies' business Ixia has incorporated machine learning technologies into its network monitoring platform. The new technologies will help the platform, called Hawkeye, to help enterprises reduce network outage times and improve network uptime by detecting, identifying, and resolving network anomalies. The company cites statistics from Gartner, which predicts that more than 50% of new enterprise applications will incorporate machine learning or other intelligence models. Ixia also notes that as the volume and velocity of raw network and application data continues to increase, network operations teams are faced with a flood of alerts. These teams need to reduce alert fatigue and increase their ability to troubleshoot network and application issues.

Its robots include Pepper, a 4-foot tall humanoid assistant with a tablet computer, designed for giving directions or assistance – or for use in care homes. In Japan, it has already been deployed in a variety of roles, in one case even donning a Buddist robe and being employed as a robot priest. Its latest robots include Nao, a 2-foot tall robot for education and research, and Whiz, an autonomous robot vacuum cleaner. SoftBank Group, led by investor Masayoshi Son, has taken a keen interest in robotics as part of his vision for a future connected world. It has invested hundreds of millions of dollars in robotics start-ups, including backing Zume – which designed a pizza making robot – and in January it led a $32m (£24m) round in robot waiter start-up bear robotics.