Artificial intelligence has become more of a philosophy than a programming tool at Facebook. Laced across the company's products, it holds the power to analyze data at the massive scale required by a social network connecting a quarter of the world's population. In a speech today at Web Summit, Facebook CTO Mike Schroepfer laid out a vision for the role artificial intelligence and machine learning will play in the company's ambitions to improve global connectivity, technology accessibility, and human computer interaction. "People want to stay connected and close to other people, so whatever is the best current technology to deploy that is the business we want to be in," said Schroepfer. Large companies like Facebook play an incredibly important role in the artificial intelligence and machine learning ecosystem.

Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools--algorithms, machine learning, sensors--are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems. Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun. It shouldn't come as a surprise that the solar sector is the latest to embrace the value of data. Other traditionally non-digital sectors, like the auto industry, oil and gas, and agriculture are turning to managing data as a necessity to keep their technology competitive and their companies in business.

Facebook has built a simple-looking video tool to show off a sophisticated use of artificial intelligence on cell phones. During an event at its office fb in Menlo Park, Calif., last Friday afternoon, Facebook CTO Mike Schroepfer showed off software that takes a live Facebook video feed from a cell phone and converts the image in real time into a selection of artistic styles, such as that of Van Gogh. It might sound like a simple filter, but usually an algorithm of this nature would need to send that type of information back to a server in a data center to process the pixels on more powerful machines. The Facebook crew crafted a less power-hungry and computing-intensive deep learning system they call "Caffe2Go," that uses the computing power in a cell phone. Facebook's Schroepfer showed the algorithm and other applications of artificial intelligence at the Web Summit conference in Lisbon, Portugal on Tuesday.

Whenever I receive bad service from a brand, I typically fire off an angry tweet and hope the company or organisation I'm complaining about notices the blue tick next to my name and takes action accordingly. It's ungracious, makes me look like a bit of a dick, and similar to trying to shift a caffeine-induced headache by consuming more caffeine, it may feel good momentarily but hardly ever works. Enter Resolver, a U.K. startup that's built tools to help you complain the correct way. They include automating parts of the complaint letter-writing process and tracking the progress of your grievance. And now the company wants to take all of the data it's amassed regards what works and what doesn't and apply AI -- their words, not mine -- to make it even easier to resolve issues.

Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching is sometimes bundled with agriculture, I discussed farming in Big Data in Agriculture, so we'll focus on ranching this time around. Somewhat surprising is that big data usage in ranching appears more limited than in farming. That said, there are a number of novel uses of technology and data in animal husbandry. At a high level, the goals of ranching and farming are the same as any business: increase yields and lower costs.

LISBON – The Nissan-Renault alliance aims to offer Chinese drivers a new electric car costing just $8,000 within two years, chief executive Carlos Ghosn said Tuesday as he touted an "explosion" in demand amid efforts to offset climate change. The electric auto market as a whole is stepping up a gear thanks to cheaper batteries, government incentives to consumers and better infrastructure for charging vehicles on the go, he said at the Web Summit in Lisbon. "For me, it is a no-brainer: electric cars are going to be a much bigger part of our industry in the future," Ghosn told AFP in an interview. Nissan was a groundbreaker in mass-marketing electric vehicles from 2008 and counts the popular Leaf in its fleet. But that higher-priced model does not compete against cheaper offerings from rival manufacturers such as BYD, Zhidou and SAIC in China, which is now the world's biggest auto market and also one of its worst polluters.

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning. Smart forecasting techniques can be used to reduce any possible risks and assist in making well-informed decisions. One of our customers, an enterprise from the Middle East, needed to predict their market demand for the upcoming twelve weeks. They required a market forecast to help them set their short-term objectives, such as production strategy, as well as assist in capacity planning and price control.

Why Neanderthal DNA lost out: Natural selection deleted weak'caveman DNA' from our genome The Neanderthals became extinct about 30,000 years ago - but not before interbreeding with their close human relatives, Homo sapiens. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.

It's now a hired gun for thousands of companies in at least 20 industries. David Kenny took the helm of IBM's Watson Group ibm in February, after Big Blue acquired The Weather Company, where Kenny had served as CEO. In the months since then, the Watson business has grown dramatically, with well over 100,000 developers worldwide now working with more than three dozen Watson application program interfaces (APIs). Fortune Deputy Editor Clifton Leaf caught up with Kenny in mid-October, when IBM Watson's General Manager was in San Francisco, getting ready to open Watson West--the AI system's newest business outpost--and to launch the company's second World of Watson conference, a gathering of its burgeoning ecosystem of partners and users, in Las Vegas on Oct. 24. KENNY: Deep learning is a subset of machine learning, which essentially is a set of algorithms. Deep-learning uses more advanced things like convolutional neural networks, which basically means you can look at things more deeply into more layers. Machine learning could work, for example, when it came to reading text.

Rather than leading to the violent downfall of humankind, artificial intelligence is helping people around the world do their jobs, including doctors who diagnose sepsis in patients and scientists who track endangered animals in the wild, experts said Thursday (Oct. Advancements in the field of artificial intelligence (AI) haven't always been met with enthusiasm. Famed astrophysicist Stephen Hawking warned on several occasions that a fully developed AI could destroy the human race, and Hollywood sci-fi movies are rife with fierce robots battling humans for control. But at yesterday's conference -- attended by the country's leading researchers, innovators, entrepreneurs and students -- scientists explained how newly developed AI is accelerating research and improving lives. Here is a look at five AI inventions that are already redefining technology.