An Uber driver sits in his car near San Francisco International Airport on July 15, 2015. Uber and Volvo will invest a combined 300 million into a joint project to develop self-driving vehicles, the companies announced Thursday. In a statement, the companies said they will equip base vehicles with autonomous driving technology, ultimately moving toward manufacturing self-driving vehicles. Volvo will make the vehicles, while Uber purchases those vehicles and implement its own self-driving tech. "Over one million people die in car accidents every year," said Uber CEO Travis Kalanick in a statement.

Last week, I participated in a panel discussion on innovation versus implementation at the inaugural Precision Medicine Leaders' Summit in San Diego. As I spent time speaking with world-class researchers and leaders in the industry I was reminded that although we've made many scientific advances, the pharma industry has been slow to implement emerging technologies. And like many industries slow to adopt new technology the pharma industry is overdue for its own disruption. The current drug development process in the pharma industry is inefficient and unsustainable. It takes 10 to 15 years and 2.6 billion to bring a drug to market.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

The mystique of the ancient stone circle of Stonehenge has long stoked people's imaginations. Theories as to what the Neolithic monument was used for include everything from a burial site to a place of healing. But a team of Australian researchers believes that the bluestone circle and similar formations of standing stones in the UK may actually have been built to track the movements of the sun, moon and stars thousands of years ago. They found strong alignments between the placement and orientation of the stones with the paths of the sun and moon and other features in their surroundings. Experts believe the analysis provides the first evidence to support theories that stone circles were used to measure or track the movement of heavenly bodies.

This tutorial will get you set up and running SystemML on the Spark Shell like a star. But first, to refresh your memory, let me remind you that I am on a quest to create a life-changing app! I am new to the world of data science and am currently tackling the challenge of building an app using Apache SystemML and Apache Spark one step at a time. If you haven't already, make sure to check out my previous tutorials, which start here. So far we've daydreamed about delightful data, complained about how hard it is to find good data, found good data, learned how to write Scala and NOW we will learn how to access SystemML from the Spark Shell.

BBC Worldwide today announces a partnership with start-up Thoughtly, leaders in artificial intelligence solutions. With the rate and magnitude of content produced, consumed and disseminated growing the support of even more sophisticated technology is crucial. This, the latest partnership for BBC Worldwide's Insight team, offers an opportunity to explore how machine learning can support its commitment in gaining a deeper understanding of which genres are most in demand, and where. Following an initial trial, BBC Worldwide and Thoughtly have recently completed a more detailed piece of analysis – which includes looking at synopses and descriptions of programmes alongside data mining- to tease out more detail as how best to categorise individual titles. David Boyle, EVP Insight, BBC Worldwide said: "We are excited that Thoughtly can help us reveal patterns and trends previously unknown and hidden in our content. "Through working with Thoughtly, and utilising machine learning, we are building a deeper understanding of our content so that it can be paired with the most relevant audiences for both the BBC Worldwide and our partners." We are working together to answer some key analytical questions including: What are the recurring and elusive patterns that transcend the various genres in our catalogue? And how have themes evolved over the years - which have grown, declined, appeared and dissipated?"

Artificial intelligence has an unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. I am fully convinced that it will redesign healthcare completely – and for the better. Let's take a look at the promising solutions it offers. There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution, which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Computers can be trained to be more accurate than pathologists in assessing slides of lung cancer tissues, according to a new study by researchers at the Stanford University School of Medicine. The researchers found that a machine-learning approach to identifying critical disease-related features accurately differentiated between two types of lung cancers and predicted patient survival times better than the standard approach of pathologists classifying tumors by grade and stage. "Pathology as it is practiced now is very subjective," said Michael Snyder, PhD, professor and chair of genetics. "Two highly skilled pathologists assessing the same slide will agree only about 60 percent of the time. This approach replaces this subjectivity with sophisticated, quantitative measurements that we feel are likely to improve patient outcomes."