Earlier this year, consulting firm Frost & Sullivan predicted that artificial intelligence in healthcare will see a "dramatic market expansion" in the next couple of years, with the potential to reduce the cost of medical treatments by half across the board. "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries," said Harpreet Singh Buttar, an analyst at Frost & Sullivan. With this in mind, we identified 32 companies that are already applying machine learning techniques and predictive analytics to reduce drug discovery times, provide virtual assistance to patients, and diagnose ailments by processing medical images, among other things. The 32 startups on the list have raised more than 530M in aggregate funding. This year, New York-based AiCure raised 12.3M in Series A funding and National Science Foundation-grantee Cloud Pharmaceuticals raised a 350K round from undisclosed investors.

Beware this article may contain spoilers! Here is a list of AI movies you should definitely watch. I guess I first realised what AI meant when I was watching A.I. Artificial Intelligence: a small boy could technically be replaced by a robot, expressing his feelings, thinking and learning things like a real human. What struck me in the movie, was that no matter what the robot did to be like a real boy, it seemed to stop him from being accepted as a son. It seemed inevitable: Humans & AI could not coexist in the same Universe. This actually happened in a lot of movies like HER where Samantha can no longer stay within our human world and all the OSes need to go away in order to evolve.

I have been getting into Natural Language Processing more lately, and have been reading about tools and products that are available right now. I came across the name Narrative Science again. It's an Artificial Intelligence technology company based in Chicago. I first heard about them a few years ago when I read an article about one of their products writing pretty decent sports reports for local newspapers. I looked around their website to see if I can learn a bit more about their technology, but unsurprisingly they are very cagey about revealing anything actionable about their work.

Say what you will about civilian drones and drone pilots, but when the going gets tough, these drone pilots will get going. According to published Federal Aviation Administration (FAA) commercial drone exemption requests, a big chunk of drone pilots are willing to lend a hand for possible emergencies. A total of 19 percent mentioned emergency services--that's six times as many requests from the last quarter of 2015. With all these pilots willingly to help out in case of emergencies, this could mean that private pilots can easily aid officials during search and rescue missions and other equally critical emergency scenarios. Despite this magnanimous offer to lend a hand, it doesn't necessarily guarantee pilots flying time. Certain legal restrictions may keep them on the ground– according to an FAA spokeswoman who spoke to The Verge, "a civilian must have a 333 exemption" to participate in emergency services.

In recent years Artificial Intelligence (AI) has rapidly gone from an obscure academic research field, to an ever more useful and ubiquitous applied discipline. We increasingly rely on AI for more and more of our everyday tasks, and whole lines of work are being thoroughly transformed by its advances. AI's increasing ubiquity is not making it any easier to understand. AI concepts and techniques are still domain of advanced undergraduate or graduate school level courses. There are a few popular AI books out there, but most of them don't get "under the hood" of how AI actually works.

In this series of exploratory blog posts, we explore the relationship between recurrent neural networks (RNNs) and IoT data. The article is written by Ajit Jaokar, Dr Paul Katsande and Dr Vinay Mehendiratta as part of the Data Science for Internet of Things practitioners course. RNNs are already used for Time series analysis. Because IoT problems can often be modelled as a Time series, RNNs could apply to IoT data. In this multi-part blog, we first discuss Time series applications and then discuss how RNNs could apply to Time series applications.

The Diet on Thursday enacted a law banning drones from flying over important facilities such as the Prime Minister's Office while giving police the power to destroy drones if necessary. The legislation is expected to take effect before a foreign ministerial meeting of the Group of Seven industrial nations takes place in Hiroshima on April 11-12. Prime Minister Shinzo Abe's ruling coalition had been seeking early enactment of the bill to strengthen anti-terrorism measures ahead of the G-7 summit in Mie Prefecture in late May. The Civil Aeronautics Law was revised to regulate drone flights in September after a small drone was found on the roof of the building housing the Prime Minister's Office last April. A man was later convicted over the incident.

DETROIT – As autonomous car technology rapidly progresses, makers of the cars face the difficult question of how safe they must be before they're ready to move people on highways and city streets. Right now, companies such as Google, Audi and Mercedes-Benz are testing the cars in a small number of cities to demonstrate they can be safer than human drivers. They also must figure out what level of risk is acceptable to both government regulators and a potentially skeptical public. Government statistics show that human mistakes are responsible for 94 percent of the 33,000 U.S. traffic fatalities each year. Autonomous cars won't get drowsy, distracted or drunk, so in theory they could eliminate those mistakes and save an estimated 31,000 lives a year.

Toshiba Corp. said its profitability will improve in the next fiscal year as it scales back on products such as personal computers and home appliances. Operating profit will be 120 billion ( 1.1 billion) and revenue 4.9 trillion in fiscal 2016, the electronics maker said on Friday, in a presentation titled "A road map to a new Toshiba." Analysts were projecting, on average, a profit of 145.5 billion on sales of 5.77 trillion, according to data compiled by Bloomberg. Toshiba, which makes everything from computers to nuclear power equipment, is seeking to revive profits by narrowing the scope of its business lines. An accounting scandal has left the Japanese conglomerate in tatters, facing record losses, job cuts and potential spinoffs.

And no sound bite I come up with, no matter how good my English gets, will bring them back to life." First written in the aftermath of the 2008-2009 Israeli war on Gaza, these words from Rafeef Ziadah's poem "We Teach Life, Sir" became popularised by a 2011 performance that went viral. A Palestinian performance poet based in London, Ziadah is an activist in her own right and a member of the Palestinian Boycott, Divestment and Sanctions (BDS) National Committee. She has helped spearhead many of the initiatives calling for the academic and cultural boycott of Israel until it adheres to the demands granting Palestinians rights under international law. The poem is now featured on Ziadah's latest album of the same name, which blends her poetry with original music composed by Phil Mansour. Al Jazeera spoke with Ziadah about her latest album, the inspiration and politics of her art, as well as her UK-based activism. Al Jazeera: Your poems were previously known for your captivating performance. Why did you decide to add music to your poems? Rafeef Ziadah: Both my first album "Hadeel" and this second one "We Teach Life" have been collaborations with wonderful musicians who deliberately worked to ensure the music strengthened and emphasised the words. With an album, unlike live performances, people are not able to see me and relate to my facial expressions or hand gestures - on the album we wanted to recreate that connection and music really helped to bring the poems to life. I was happy to work with activist-artist Phil Monsour (who produced the album). The music has also helped introduce the work to a broader audience and is beginning to have radio play on independent radio stations around the world. Al Jazeera: How long did it take you to make this album? Why have you decided to release it now and what do you hope will come out of its release? Ziadah: The album was a slow collaboration that started with a number of poetry pieces and slowly grew in number. It took about 12 months to complete the final production, but the poems were written over several years and recorded in a few countries depending on accessibility. It is really an attempt to capture in words a number of recent experiences of Palestinians inside historic Palestine and in exile as well. This work is also - in many ways- a collective effort beyond myself and the musicians because we launched a crowd funding campaign to support the final stages of production and many people generously donated to make sure narratives that are largely absent in the Western mainstream can be heard. As I explain in the album's artwork "the poems and music here have been written over several years, three wars, two sieges, too many borders and many protests and picket lines.