About a dozen years after the first game, and three years after it was announced, Monaco 2 has finally arrived. The new co-op heist game from developer Pocketwatch Games and publisher Humble Bundle launched on Thursday, April 10 on Steam, PS5, and Xbox Series consoles for 24.99. Set in a colorful, isometric world with a cartoony art style, Monaco 2 follows in the silent footsteps of its predecessor with a unique heist-based mission design that can be enjoyed solo, in split-screen, or online co-op with friends. There are several playable characters, each with their own abilities and roles. And as is often the case with heists, things will certainly go wrong.

This paper describes a French dialect recognition system that will appropriately distinguish between different regional French dialects. A corpus of five regions - Monaco, French-speaking, Belgium, French-speaking Switzerland, French-speaking Canada and France, which is targeted forconstruction by the Sketch Engine. The content of the corpus is related to the four themes of eating, drinking, sleeping and living, which are closely linked to popular life. The experimental results were obtained through the processing of a python coded pre-processor and Waikato Environment for Knowledge Analysis (WEKA) data analytic tool which contains many filters and classifiers for machine learning.

Vislink a global technology leader in the capture, delivery and management of high quality, live video and associated data in the media & entertainment, law enforcement and defense markets, will showcase its latest AI solutions for monetizing live sports content at Sportel Monaco 2022 (Booth #A32) from October 24 through October 26. The company will be introducing its latest AI Clipper Studio toolkit, as well as showcasing its latest updates to the AI-centric IQ Sports Producer system. In addition, Vislink launches a newly integrated partnership with sports OTT provider, StreamViral, at the show. Sportel is the world's leading sports content media rights and technology convention. It represents the perfect venue for Vislink to demonstrate how its AI-automated solutions can help capture and stream more compelling sports content while engaging and expanding audiences -- and do so at a fraction of the traditional cost.

Pricing-based mechanisms have been widely studied and developed for resource allocation in multi-agent systems. One of the main goals in such studies is to avoid envy between the agents, i.e., guarantee fair allocation. However, even the simplest combinatorial cases of this problem is not well understood. Here, we try to fill these gaps and design polynomial revenue maximizing pricing mechanisms to allocate homogeneous resources among buyers in envy-free manner. In particular, we consider envy-free outcomes in which all buyers' utilities are maximized. We also consider pair envy-free outcomes in which all buyers prefer their allocations to the allocations obtained by other agents. For both notions of envy-freeness, we consider item and bundle pricing schemes. Our results clearly demonstrate the limitations and advantages in terms of revenue between these two different notions of envy-freeness.

MCMC methods are a family of algorithms that uses Markov Chains to perform Monte Carlo estimate. The name gives us a hint, that it is composed of two components -- Monte Carlo and Markov Chain. Let us understand them separately and in their combined form. Monte Carlo method derives its name from a Monte Carlo casino in Monaco. It is a technique for sampling from a probability distribution and using those samples to approximate desired quantity. In other words, it uses randomness to estimate some deterministic quantity of interest.

Deep learning methods have reached state-of-the-art performance in cardiac image segmentation. Currently, the main bottleneck towards their effective translation into clinics requires assuring continuous high model performance and segmentation results. In this work, we present a novel learning framework to monitor the performance of heart segmentation models in the absence of ground truth. Formulated as an anomaly detection problem, the monitoring framework allows deriving surrogate quality measures for a segmentation and allows flagging suspicious results. We propose two different types of quality measures, a global score and a pixel-wise map. We demonstrate their use by reproducing the final rankings of a cardiac segmentation challenge in the absence of ground truth. Results show that our framework is accurate, fast, and scalable, confirming it is a viable option for quality control monitoring in clinical practice and large population studies.

Truck drivers can put the brakes on their worst automation fears. Robots are not getting behind the wheel and stealing the jobs of long-haul drivers anytime soon, according to two government experts, offering a contrarian view to some of the biggest names in tech and a presidential candidate. In a study published in the Industrial and Labor Relations Review, Maury Gittleman, a research economist at the Bureau of Labor Statistics, and Kristen Monaco, an associate commissioner in the Office of Compensation and Working Conditions also at BLS, argue that there are three main reasons why the threat of automation, robots and AI to truck drivers is more fear-mongering than fearsome. "Looking at the data, we believe that, while the risk of job loss from automation is very real, the projections that often get touted are overstated," the two penned in Harvard Business Review Wednesday. The projections they're referring to are the elimination of some 2-3 million truck driving jobs, and one that recently got a boost by presidential candidate Andrew Yang, who retweeted Tuesday an article on trucking automation by Business Insider that perpetuated the projection in question.

Schlumberger, Chevron and Microsoft have launched a cloud-based artificial intelligence platform to improve a digital services in the oil field. The companies issued a joint statement from the SIS Global Forum in Monaco announcing the launch of DELFI, a cloud-based platform loaded with software for exploration, development, production, storage tanks and pipeline projects. "Never before has our industry seen a collaboration of this kind, and of this scale," Schlumberger CEO Olivier Le Peuch said in a statement. "Working together will accelerate faster innovation with better results, marking the beginning of a new era in our industry that will enable us to elevate performance across our industry's value chain." Service Sector: Millennials now make up majority of Schlumberger's workforce Initially developed by Schlumberger for Chevron, DELFI resides entirely on Microsoft's Azure cloud computing platform.

It was quite unlike any other acceptance speech of the UEFA President's award. In a rather philosophical address before the Champion's League draw in Monaco, former soccer player and actor Eric Cantona claimed: "Soon the science will not only be able to slow down the aging of the cells, soon the science will fix the cells to the state, and so we become eternal." But what was he actually talking about and does it hold up? In the context, the statement seemed out of place, perhaps even slightly mad. There's pathos in seeing aged sportsmen too--once sublime athletes now reduced to a snail's pace and going gray.

Others get a physical body and come out to the limelight, though. SoftBank Robotics' humanoid robot named Pepper made its first appearance already in 2014 but it has grown up: it now responds to human emotions and can answer questions about products or services. Two of its German versions, Luna and Monaco Pepper, take their role one step further. They have a permanent home in one of Bremen's Sparkasse bank branches and keep regular contact with clients. They can even tell jokes!