Artificial intelligence can't replace your doctor yet but it can help diagnose illness. Pfizer Inc. is expanding its AI-enabled analytics toolset to catch diseases that are easy to miss because they're rare or disguised by other illnesses a patient may have. The cloud-based system, called Virtual Analytics Workbench, brings together physicians notes, lab reports, demographics and other patient particulars, as CIO Journal's Sara Castellanos reports. Health care presents exciting opportunities to apply AI, but we're still far from Dr. McCoy's tricorder instant diagnostic device on Star Trek. One obstacle slowing AI's progress generally is a lack of suitable data with which to train algorithms, according to Kate Crawford, a distinguished research professor at New York University and a principal researcher at Microsoft Research New York, She spoke at the WSJ Future of Everything Festival this week.

Machine-learning algorithms accomplish tasks by training on a set of data, rather than being programmed by humans. Armed with the knowledge of what worked before, the system instructs the implant to stimulate users' brains to interrupt a seizure at its onset. The innovation is part of a larger phenomenon that has big implications for how we identify and treat disease: the introduction of artificial intelligence to consumer and clinical electronics. As machines learn from at times millions of humans, doctors are gaining the ability to better identify disease and even predict it before it becomes catastrophic. As in every other area of human endeavor, the introduction of AI to medicine comes with challenges.

This week, OpenAI published an analysis that documents an explosion in compute power over the past six years, which is driving advances in artificial intelligence. Compute power used in the largest AI training runs, the piece found, has doubled every 3.5 months since 2012. The breakdown of compute power necessary to create well-known AI systems like ResNets and AlphaGo Zero provides some of the clearest metrics available to demonstrate why AI is growing faster and proliferating to all corners of society. Together with big data and improvements to algorithms, this boom in compute is carving paths to the future for both businesses and the rest of the world. This week, the international community met in Geneva for the AI for Good Global Summit to discuss how AI can be used to make progress toward the United Nation's Sustainable Development Goals like zero hunger, no poverty, and good health.

After Russia, China and US, India has decided to include Artificial Intelligence in its defence forces with an aim to enhance the operational preparedness of the armed forces. Speaking to the news agency ANI, Ajay Kumar, Defence Secretary (Production), Ministry of Defence said that a task force has been set up under the chairmanship of Tata Sons chairman N. Chandrasekaran to finalise the specifics and framework of the project. "Artificial Intelligence is going to influence everything in the future, our common lives also including it also going to affect the future warfare. Most of the major countries in the world are taking steps to ensure that their defence systems are fully empowered by the use of Artificial Intelligence. In India, we have also taken steps in this direction," Kumar said.

After Russia, China and US, India has decided to include Artificial Intelligence in its defence forces with an aim to enhance the operational preparedness of the armed forces. Speaking to the news agency ANI, Ajay Kumar, Defence Secretary (Production), Ministry of Defence said that a task force has been set up under the chairmanship of Tata Sons chairman N. Chandrasekaran to finalise the specifics and framework of the project. "Artificial Intelligence is going to influence everything in the future, our common lives also including it also going to affect the future warfare. Most of the major countries in the world are taking steps to ensure that their defence systems are fully empowered by the use of Artificial Intelligence. In India, we have also taken steps in this direction," Kumar said.

A data-harvesting competition that offered football fans the chance to win £50m is at the centre of new questions about pro-Brexit campaigning before the 2016 EU referendum. Last week the select committee for digital, culture, media and sport released a letter Facebook sent to the Electoral Commission in which it said that two campaigns, Vote Leave and BeLeave, used three sets of data to target audiences, noting that they covered "the exact same audiences". The two campaign groups are under investigation over whether there was collusion and coordination during the referendum campaign, circumventing spending limits. Under British electoral law, it is illegal for campaigns to work together in any way unless they declare their spending jointly, which Vote Leave and BeLeave did not. Both organisations deny any collusion.

What does the future of Artificial Intelligence mean for you? The UK Government announced just this week, a new £1 Billion Drive Into Artificial Intelligence. "Artificial intelligence provides limitless opportunities to develop new, efficient and accessible products and services", said Business Secretary Greg Clark. For 2 days, we're bringing together world leading researchers and industry pioneers to learn, discuss and explore the impact machine learning and deep learning algorithms will have on your business and across our daily lives. With just over one month to go, we're highlighting the 10 reasons not to miss the upcoming Machine Intelligence Summit, taking place in Hong Kong on 6-7 June.

When Prince Harry and Meghan Markle say "I do" at their royal wedding, online viewers tuning into the Sky News stream will not have to guess the names of international celebrities and British nobility in attendance. Instead, the U.K. broadcaster will use artificial intelligence to identify famous guests as they make their grand entrances at St. George's Chapel at Windsor Castle -- displaying the invitees' names and details about how they are connected to the royal couple. Dubbed "Who's Who Live," Sky News announced the livestream service last week in partnership with Amazon.com and several data and engineering firms. As the 600 guests enter the chapel, Sky News will highlight notable attendees using Amazon Rekognition, a cloud-based technology that can recognize and compare faces in images and video using artificial intelligence. Along with identifying the wedding guests, the livestream service will also show facts about them, Sky News said, using captions and on-screen graphics through the company's app.

Wealth inequality is one of the great moral issues of our time. In an era when the world has more money than ever before, billions still live on less than $3 a day. The disparity becomes more striking in the light of studies that show most income inequality comes down to luck, with people of average talent able to shoot to the top of the ladder by being in the right place at the right time. Making the problem even more severe is the specter of automated unemployment, or the so-called AI revolution. As countless jobs have been lost to automation already and 30% of American jobs are at risk of being automated out of existence within the next thirteen years, it may not be long before mass unemployment caused by automation intensifies the difficulty and urgency of solving the inequality problem.

While the internet spent the last week virtually paralyzed by the Yanny/Laurel debate, the wheels of industry kept turning. Elon Musk promised rides aboard the upcoming Boring Company system would only cost a buck, MIT built a robotic albatross for oceanic observations and Bosch unveiled its anti-skid maneuvering thrusters for high end motorbikes. Numbers, because how else would you know when it's time to get back out on the road again? Behold, whatever the heck this thing is. Once fully developed, it should help drastically reduce the cost of monitoring the health of our oceans (at least near the surface) while severely increasing the amount of open ocean we can monitor at any given time.