Bafta games awards 2020: Outer Wilds and Disco Elysium dominate

The Guardian

Independent video games were the big winners at this year's Bafta Games awards, which took place as a live-streamed event on Thursday evening after the planned ceremony was cancelled due to Covid-19. Sci-fi action puzzler Outer Wilds took the best game award, as well as game design and original property. Offbeat detective adventure Disco Elysium also won in three categories: debut game, narrative and music. Other winners included space station thriller Observation for British game, Apex Legends for multiplayer and Untitled Goose Game in the family category. Metal Gear Solid game designer Hideo Kojima was awarded the Bafta fellowship, with his latest title, Death Stranding, also taking the award for technical achievement.


Sennheiser Momentum True Wireless 2 review: top-quality sound with ANC

The Guardian

Sennheiser's second-generation high-end true wireless earbuds gain noise cancelling and longer battery life to do battle with Sony and Apple. The German firm's first earbuds were some of the best-sounding available. Now Sennheiser hopes its £280 Momentum True Wireless 2 can steal the show once again. The first thing you notice is just how big the earbuds are. Despite being slightly smaller than the previous versions they are still large, shaped like a fez with the eartip projecting out of one corner.


Men who are 'couch potatoes' are more likely to want to be muscular and hit the gym, study shows

Daily Mail - Science & tech

Experts found that men from wealthy western countries like the UK are more motivated to workout than their Nicaraguan and Ugandan counterparts. However, in all three countries, men that watch more television -- and are therefore exposed more to images of idealised bodies -- wanted to be muscular more. Men who are'couch potatoes' -- those spending a lot of time watching TV -- are more likely to want to be muscular and hit the gym, a study has found Psychologist Tracey Thornborrow of the University of Lincoln and colleagues examined British men's obsession with getting a muscular physique -- along with related phenomena like relying on protein shakes, unhealthy dieting and steroid use. Comparing British men with those from Nicaragua and Uganda, the team assessed each man's body mass index, along with their feelings about peer pressure and their ideal appearance. Participants also ranked the perceived level of muscularity of their current body and their ideal body on the so-called'Male Adiposity and Muscularity Scale.' Designed by the Person Perception Lab at the University of Lincoln, the new scale makes use of two-dimensional images created from 3D software, providing a more realistic range of body types and sizes based on measurements of real people.


Google is using machine learning to improve the quality of Duo calls

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Google has rolled out a new technology to improve audio quality in Duo calls when the service can't maintain a steady connection called WaveNetEQ. It's based on technology from Google's DeepMind division that aims to replace audio jitter with artificial noise that sounds just like human speech, generated using machine learning. If you've ever made a call over the internet, chances are you've experienced audio jitter. It happens when packets of audio data sent as part of the call get lost along the way or otherwise arrive late or in the wrong order. Google says that 99 percent of Duo calls experience packet loss: 20 percent of these lose over 3 percent of their audio, and 10 percent lose over 8 percent.


Graph Databases: The Story-tellers of the Database World

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The big rub on the first generation of graph databases was that although RDF triple stores were great at storing the simple sentence, they had a hard time with the adverbs, adjectives and clarifying phrases of your data story. If I wanted to store'John is a carpenter since 2001' or'John from Alberta Canada is a carpenter liked by 702 people', the syntax of old-school triple stores had a more tedious, but not impossible way of handling it. It involved creating extra nodes that were confusing to some and a process called reification. Until about a year ago, labeled property graphs (LPG) were better at color and detail than RDF, having a more intuitive syntax for clarifying adverbs, adjectives, and phrases. That was, of course, until recently.


Master of Computer Science in Data Science Coursera

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Earn your Master's, learn from pioneering Illinois faculty, and gain the data science skills that are transforming business and society. Illinois Computer Science offers a specialized track that includes both MCS degree requirements and data science-focused coursework. This degree is right for anyone who not only wants to learn to extract knowledge and insights from massive data sets, but also wants full command of the computational infrastructure to do so. The Master of Computer Science in Data Science (MCS-DS) leads the MCS degree through a focus on core competencies in machine learning, data mining, data visualization, and cloud computing, It also includes interdisciplinary data science courses, offered in cooperation with the Department of Statistics and the School of Information Science. Data Visualization: Coursework designed to show you how to create effective and understandable data presentations.


Example of Predictive Sales Analytics & Predictive Modeling in Excel

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Predictive analytics is the technology that enables a look into the future. What data do you need? How do you get started with predictive analytics? What methods can you use?


Introduction to Artificial Intelligence (AI) Coursera

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In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.


Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning: Model and Code

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The fast and untraceable virus mutations take lives of thousands of people before the immune system can produce the inhibitory antibody. Recent outbreak of novel coronavirus infected and killed thousands of people in the world. Rapid methods in finding peptides or antibody sequences that can inhibit the viral epitopes of COVID-19 will save the life of thousands. In this paper, we devised a machine learning (ML) model to predict the possible inhibitory synthetic antibodies for Corona virus. We collected 1933 virus-antibody sequences and their clinical patient neutralization response and trained an ML model to predict the antibody response.


Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer - BIZ - Machine Learning Times - machine learning & data science news

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