Up to 15 percent of active Twitter accounts are really bots: autonomous agents driven by algorithms rather than actual human personalities. The 15 percent figure comes courtesy of a new analysis by computer scientists at Indiana University and the University of Southern California using a machine learning framework designed to detect bots based on nearly a thousand distinct Twitter user characteristics. The group's work is described in a paper posted this week to the arXiv preprint server. On its face, this is a classic machine learning classification problem. Take some properties of an entity--screen name length, account age, and number of retweets per hour, for example--and look at those same properties across many different versions or instances of that entity along with some other property that we want to predict (whether an account is a bot or a human, in our case).

How does Foursquare use machine learning to make the product better? We all have access to more and more data, and using machine learning means we can make better decisions for our products based not on what we think is right, but what predictive models uncover about is right. Many parts of the Foursquare business rely on elements of machine learning, and our superpower, Pilgrim, which understands how people move through the world, was created almost entirely from a machine learning perspective. In our Foursquare City Guide app, we use machine learning in tip ranking. We spent some time manually extracting signals about tips, such as: What is the sentiment in the tip?

A Microsoft Research team has created a competition using Project Malmo, a platform that uses Minecraft as a testing ground for advanced artificial intelligence research. The team is challenging PhD students to develop an AI that learns to collaborate with other randomly assigned players to achieve a high score in a mini-game within the virtual world. The field of collaborative AI research involves the development of technologies that work with, empower and augment human capabilities. The ability to collaborate is key to the development of a general AI that can mimic the nuanced and complex way humans learn and make decisions. Such an AI would represent an evolution from task-specific AI technologies that recognize speech, translate languages and caption images.

Richard Stevenson, CEO of Red Box Recorders, explores how technology is changing the landscape of customer service and how developments in AI and chatbots will change the way companies interact with their customers. Every business quickly learns the value of the conversations they have with their customers. They aren't only the lifeblood of any organisation fuelling transactions and growth, but also offer invaluable insight into what clients want and how they communicate. The looming implementation of the MiFID II directive for financial services institutions has brought the issue into an even sharper spotlight as these businesses gear up to ensure they are recording and archiving all client communications. Beyond this, the next ten years will see a greater and fundamental shift in the way businesses look at this crucial data and what customers will expect in return.

Information contained on this page is provided by an independent third-party content provider. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com Addition of enterprise-level AI capabilities furthers Genpact's ability to drive digital transformation at speed and scale for clients Genpact (NYSE: G), a global professional services firm focused on delivering digital transformation for clients, has signed a definitive agreement to acquire Rage Frameworks, a leader in knowledge-based automation technology and services providing Artificial Intelligence (AI) for the Enterprise. Terms of the deal are not disclosed. As part of its strategy to drive both digital-led innovation and digital-enabled intelligent operations for its clients, Genpact is investing in leading technologies, such as AI, that are transforming the way companies in many industries compete. Genpact will embed Rage's AI in business operations and apply it to complex enterprise issues to allow clients to generate insights and drive decisions and action, at a scale and speed that humans alone could not achieve.

Artificial intelligence enables virtual agents to learn by observation. That adaptive ability is what a Swedish bank is counting on to serve its customers.

The National Grid has confirmed that it is in the "earliest stages" of discussions exploring the use of Artificial Intelligence (AI), which could potentially maximise the use of renewable energy by predicting peaks in demand across the UK. The National Grid, which operates and owns the infrastructure that transports electricity across the UK, has seen its ability in balancing and stabilising the grid challenged in recent years as intermittent renewables such as solar and wind have been fed into the energy mix. While the introduction of renewables into the mix forms a key role in both national and European legislation to decarbonise the grid, concerns have been raised as to the National Grid's ability to deal with fluctuating wind and solar resources, which can sometimes produce more energy than the system can cope with. Energy storage and demand response initiatives, whereby businesses either store surplus energy or increase or reduce energy consumption based on demand, are being incorporated by the National Grid, which is now "exploring what opportunities" AI could offer to balance the situation. The National Grid revealed that it is in discussions with the UK-based AI company DeepMind about introducing new technologies to help balance the grid and improve the use of renewables.

What is machine learning and how does it work? You've probably heard the buzz. The age of artificial intelligence has arrived. But that doesn't mean it's easy to wrap your mind around. Let's break down the basics of artificial intelligence, bots, and machine learning. Besides, there's nothing that will impact marketing more in the next five to ten years than artificial intelligence.

Intel announced plans to acquire Israel-based Mobileye, a developer of vision technology used in autonomous driving applications, for $15.3 billion. Mobileye share prices jumped from $47 to $61 (the tender offering price is $63.54) on the news, a 30% premium. The purchase marks the largest acquisition of an Israeli hi-tech company ever. This transaction jumpstarts Intel's efforts to enter the emerging autonomous driving marketplace, an arena much different than Intel's present business model. The process to design and bring a chip to market involves multiple levels of safety checks and approvals as well as incorporation into car company design plans – a process that often takes 4 to 5 years – which is why it makes sense to acquire a company already versed in those activities.

Germany reportedly intends to acquire the Northrop Grumman MQ-4C Triton high-altitude surveillance drone, according to a story in Sueddeutsche Zeitung. In 2013, Germany cancelled a similar program to acquire Northrop Grumman's RQ-4 Global Hawk, a surveillance drone on which the newer Triton is based, due to cost overruns. The Triton is a large, long-endurance system that was originally developed for maritime surveillance by the U.S. Navy. The U.S. Army released a report outlining its strategy for obtaining and using unmanned ground vehicles. The Robotics and Autonomous Systems strategy outlines short, medium, and long-term goals for the service's ground robot programs.