IT software

Machine Learning Is Making Video Game Characters Smarter And Robots More Competent


So says Danny Lange, the VP of AI and machine learning at Unity Technologies, a major maker of game "engine" software that handles the underlying mechanics of titles like Firewatch and ChronoBlade. Today the company announced Unity Machine Learning Agents--open-source software linking its game engine to machine learning programs such as Google's TensorFlow. It will allow non-playable characters, through trial and error, to develop better, more creative strategies than a human could program, says Lange, using a branch of machine learning called deep reinforcement learning. And Nvidia's new Isaac Lab uses rival Epic Games' Unreal Engine to generate lifelike virtual environments for training the algorithms that control actual robots.

Industrial automation and intelligence automation, .. the difference?


Industrial automation can be defined as a Set of processes where implementation of control systems, such as Robots, computers or both, including information technologies for administering different processes and equipment's in an industry to replace a human being. This is done to achieve higher productivity, quality, flexibility, information accuracy and higher safety. The negative effects being high initial cost, associated with making the switch from a human involved production line to an automatic production line. In other words, it is the application of artificial intelligence and other advanced technologies like computer vision, cognitive automation, machine learning to a robotic process which will elevate competitive advantage to a business.

Handheld scanner divines how nutritious your food really is

New Scientist

FARMERS can now zap their crops with a handheld scanner to instantly determine nutritional content, which could prove crucial in mitigating the effects of climate change on food quality. "Real-time results mean farmers can add fertilisers or tweak moisture levels as crops grow" Farmers can use the app to assess the impact of changing conditions, such as extreme weather and soil quality, on the quality of their crops from year to year. It could allow farmers to mitigate the negative effects of climate change early by adding fertilisers or tweaking moisture levels as crops grow. Other companies are developing similar gadgets for consumers, and sensors that can be fitted onto a smartphone.

Digital transformation: How machine learning could help change business


With minimal pre-task human efforts needed, the scalability of unsupervised machine learning is much higher. David Dittman, director of business intelligence and analytics services at Procter & Gamble, explained that the biggest analytics problem he sees today with other large US companies is that "they are becoming enamored by [machine learning and analytics] technology, while not understanding that they have to build the foundation [for it], because it can be hard, expensive and requires vision." Supervised ML requires humans to create sets of training data and validate the results of the training. A similar shift is likely in machine learning, he suggested, as software and service providers begin to offer application programming interfaces to commercial machine learning platforms.

Appvance Launches AI-Driven Test Automation


By modeling human testers, including manual and test automation tasks such as scripting, Appvance has developed algorithms and expert systems to take on those tasks, similar to how driverless vehicle software models what a human driver does. The Appvance AI technology learns from various existing data sources, including learning to map an application fully on its own, various server logs, Splunk or Sumo Logic production data, form input data, valid headers and requests, expected responses, changes in each build and others. The resulting test execution represented real user flows, data driven, with near 100% code coverage. Built from the ground up with DevOps, agile and cloud services in mind, Appvance offers true beginning-to-end data-driven functional, performance, compatibility, security and synthetic APM test automation and execution, enabling dev and QA teams to quickly identify issues in a fraction of the time of other test automation products.

Selfie Data Tells You How Facebook Uses AI To Track Its Users Activities


A software named Data selfie revealed how Facebook Artificial Intelligence uses your social media activity to track all your personal details in order to keep feeding you with alluring content. This open-source Google chrome extension is available for free and tells you how Social media platforms such as Facebook uses the machine learning and Artificial Intelligence to know your personality. The extension first tracks all your Facebook activity to gather all the required information and crunches the collected data into an analytical report. Data Selfie keeps a record of all your Facebook browsing activities including what you watch, how long you watched, what you look more than once, what you type, with whom you have interacted and much more.

13 hidden features in iOS 11


Once the the Notes app has been added as a Control Center shortcut, enable "access from lock screen" (Settings Notes Access from Lock Screen) to get your notes without unlocking your phone. Enable "automatically save offline" in Safari's settings to save the stories you want to read later, even if you won't have a connection. The setting is hidden in Apple's Accessibility settings (General Accessibility Siri Type to Siri) and, when enabled, it changes the default Siri input from voice to text. Choose "scan documents" from the Notes app to quickly import physical documents into your notes using your iPhone camera.

An Introduction to Statistical Learning - with Applications in R Gareth James Springer


An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data.

Graph technology the beating heart of new data management tools


In effect, Live Data Map acts as a knowledge graph and metadata repository, and can help automation of data discovery and preparation tasks. Informatica company leaders pointed to Live Data Map as one among several signs of the company's commitment to innovation. They indicated the company has worked to improve performance of the open source Titan graph database on which Live Data Map, originally discussed at last year's edition of the conference, was built. He suggested Live Data Map and other technology activity at Informatica World 2016 show a company still very much in the game.



Apple's new Control Center lets you mix and match your favorite shortcuts in iOS11 (Photo: Apple) MANHATTAN BEACH, Calif -- You don't have to go out and spend $700 on a swanky new iPhone. The latest mobile operating system upgrade, iOS 11, was released Tuesday, and it has "hundreds" of new features, according to Apple. If you go to Settings, Control Center, you can choose what shortcuts you'd like to be in there. The iOS11 operating system upgrade lets you mark up screen shots.