With this month finally seeing the release of No Man's Sky, in which players can investigate and explore a huge universe full of diverse planets, I couldn't help but be reminded that although outer space has always held a fascination for many, there's another largely unexplored area much closer to home – the ocean. Although water makes up about 70% of Earth's surface, it is estimated that humans have only explored around 5% of the seabed. Aquatic legends such as Atlantis, the Bermuda triangle, and the disappearance of the USS Scorpion in 1968 have captured the imaginations of many a budding oceanographer, and as such the depths of the sea are an unknown region still ripe for mythologizing – which is exactly what Abzu does, in the first release from Giant Squid software. Directed by Matt Nava, who worked as art director on Journey and Flower for thatgamecompany, the style is instantly reminiscent of his previous work, with players taking control of a stylised'Diver' character. Dropped into the ocean with little explanation, the first thing you notice is how - no matter how long you spend underwater - there's no air gauge to run out.

Mustafa was Co-founder and Chief Product Officer of DeepMind Technologies, a leading AI company backed by Founders Fund, Li Ka-Shing, Elon Musk, and David Bonderman amongst others, which was bought by Google in 2014 in their largest European acquisition to date. He is now Head of Applied AI at Google DeepMind, responsible for integrating the company's technology across a wide range of Google products. And he has launched DeepMind Health in an effort to build clinician-led technology in the NHS. At 19, Mustafa dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK. He then worked as a Policy Officer for the Mayor of London Ken Livingstone.

This June, we published a big story--Shane Bauer's account of his four-month stint as a guard in a private prison. That's "big," as in XXL: 35,000 words long, or 5 to 10 times the length of a typical feature, plus charts, graphs, and companion pieces, not to mention six videos and a radio documentary. It was also big in impact. More than a million people read it, defying everything we're told about the attention span of online audiences; tens of thousands shared it on social media. The Washington Post, CNN, and NPR's Weekend Edition picked it up.

U.S. stocks are trading lower Wednesday morning as losses for phone and utility companies continue to drag the market from its recent record highs. Retailers including Target and Lowe's are skidding after disappointing earnings. The Federal Reserve will release minutes from its July meeting in the afternoon. KEEPING SCORE: The Dow Jones industrial average fell 58 points, or 0.3%, to 18,493 as of 10:25 a.m. The Standard & Poor's 500 index gave up 6 points, or 0.3%, to 2,171.

The genetic cause of autism spectrum disorder is notoriously hard to research. Genetic markers for the disorder are tough to match from patient to patient because they're so rare--one of the most common genetic signifiers is only found in less than one percent of those diagnosed with autism. Even when genetic anomalies are found, they must be checked against family members genomes to ensure it's not attributable to a more commonly inherited mutation that doesn't cause disease. Researchers at Princeton and the Simons Foundation turned the traditional approach on its head, teaching a machine learning algorithm to look for the genetic relationships that could cause autism. The algorithm scoured a digital network of the human genome's interactions, looking for relationships and connections that are similar to those in previously-known markers for autism.

GWEN IFILL: Now: developing technology that can better identify your own emotions. At a time when people are concerned about what data can track and how it can be sold, it is an advance that clearly raises concerns. But it may also yield some important benefits. The "NewsHour"'s April Brown takes a look, part of our weekly series on the Leading Edge of science and technology. DAN MCDUFF, Director of Research, Affectiva: You can control the movements of BB-8, the little droid, based on how your facial expressions are changing.

Tapan Agarwal, Product Council Head at iGTB, has been cited in Global Trade Review in an article discussing the use of AI in the financial services industry. The article describes how financial services provides a fertile ground for AI applications because AI's strength comes from the quality of the data fed to it, and financial institutions themselves are data mines. In trade finance, AI applications can be found particularly in the field of compliance to prevent money laundering and fraud. Banks are currently facing the challenge of increased regulation in these areas, and keeping up with various requirements can be challenging for compliance departments. "Banks are failing to identify threats and fraudulent activities by relying solely on curated databases," commented Agarwal.

Boltt is a new sports technology startup that wants to change the way athletes use wearables. Rather than just providing metrics like most fitness wearables, it wants to introduce usable guidance through artificial intelligence. In short, while the athletes focus on their training, an AI-enabled personal coach crunches the data and gives personalized instructions. Boltt is working on this technology in partnership with Garmin. To come up with customized and informed advice, it will track movements of the athlete and classify them according to time, type and intensity.

With the corporate world embracing digital technologies, organisations are increasingly looking for resources with a difference who could enable them to create a distinctive presence in the marketplace. They are keen that the resources they onboard have analytical skills, visioning skills, learning skills, innovation capabilities, social skills and problem solving skills at all levels in the organisation--not just at the top. This is because digital transformation is unleashing a virtuous change at a regular interval to the processes and interactions with various stakeholders at multiple levels within the organisation and within the industry and it is expected of employees to adapt and respond quickly to these changes. Hence in addition to reorienting the employees within the organisation towards the need for the skills mentioned above, the new generation employees organisations wish to employ are expected to have these competencies. The mindset and the capabilities required to be successful in the digital era have to be developed while the next generation is still part of the academic system.

I just got back from SXSW where I was on a panel entitled "Can AI Systems Really'Think?'"