Cancer is a devastating disease and statistics now suggest that nearly one in every two people worldwide will develop cancer at some point in their lives. Although there are various treatments available that are improving all the time, there is still no cure for cancer. Research in developing effective cancer treatments has been going on for decades, and now researchers are turning to the help of AI in hopes of finding a cure for the disease. But one thing that is needed for searching for a cure for cancer, even when using AI, is data. The problem with this is that a lot of data including mammograms, genetic tests, and medical records are still under lock and key and not available to those who can make use of it. However, on the flip side, there are now a number of large scale initiatives in place that are willing to share data and make it easy to do so.

When Facebook (NASDAQ: FB) suggests you "tag" a friend in a photo, it generally suggests that friend's name. That small interaction provides a glimpse into the world of an emerging and powerful aspect of artificial intelligence (AI) in action -- image recognition. With its treasure trove of words and pictures from 1.79 billion monthly active users, it is using that data, combined with recent advancements in AI, to propel this and other technological advances. Facebook may well have the lead in facial recognition, even extending a step further into the realm of facial verification. It released a research paper in 2014 in which it reported 97.35% accuracy, which approaches human levels of recognition. So accurate, in fact, that Facebook removed the feature for European Union citizens at the EU's request to protect privacy.

Artificial intelligence (AI) is no more the theme for science fiction or Hollywood movie. The fusion of cyber and the manual task is transforming the economic and security landscape not only in India, but across the world. Artificial intelligence is not something new. However, AI is an important development and consumers in India will witness its prominent role – both in society and at work – in 2017. In addition, there is expectation that the use of artificial intelligence will proliferate across multiple business, social and government spheres.

Why is it that every time humans develop a really clever computer system in the movies, it seems intent on killing every last one of us at its first opportunity? In Stanley Kubrick's masterpiece, 2001: A Space Odyssey, HAL 9000 starts off as an attentive, if somewhat creepy, custodian of the astronauts aboard the USS Discovery One, before famously turning homicidal and trying to kill them all. In The Matrix, humanity's invention of AI promptly results in human-machine warfare, leading to humans enslaved as a biological source of energy by the machines. In Daniel H. Wilson's book Robopocalypse, computer scientists finally crack the code on the AI problem, only to have their creation develop a sudden and deep dislike for its creators. Is Siri just a few upgrades away from killing you in your sleep? And you're not an especially sentient being yourself if you haven't heard the story of Skynet (see The Terminator, T2, T3, etc.) The simple answer is that -- movies like Wall-E, Short Circuit, and Chappie, notwithstanding -- Hollywood knows that nothing guarantees box office gold quite like an existential threat to all of humanity. Whether that threat is likely in real life or not is decidedly beside the point. How else can one explain the endless march of zombie flicks, not to mention those pesky, shark-infested tornadoes? The reality of AI is nothing like the movies. Siri, Alexa, Watson, Cortana -- these are our HAL 9000s, and none seems even vaguely murderous. The technology has taken leaps and bounds in the last decade, and seems poised to finally match the vision our artists have depicted in film for decades. Is Siri just a few upgrades away from killing you in your sleep, or is Hollywood running away with a tired idea? Looking back at the last decade of AI research helps to paint a clearer picture of a sometimes frightening, sometimes enlightened future. An increasing number of prominent voices are being raised about the real dangers of humanity's continuing work on so-called artificial intelligence.

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If you've lost the use of your arms, the idea of being able to control a robotic replacement arm with your mind might seem like an awesome idea at first. That is, until you're told that you would probably need to have some serious surgery to crack open your skull and insert an implant into your brain to actually let you do that. Fortunately, scientists at the University of Minnesota have developed an alternative: a technique that would allow people to move a robotic appendage around with only their thoughts, without the need for surgery or brain implants. It's a major step in the development of non-invasive brain-computer interfaces (BCIs), which build a direct communication link between the brain and an external device. Though previous experiments showed that brain-computer interfaces could allow people to control virtual objects like moving a cursor on a screen or a helicopter in a flight simulator, and even real objects like small quadcopters, this study takes it to the next level with real-world implications.

Today, a large crew is necessary to sail cargo ships to their long distance destinations. In the future, not even one crew member on board may be needed for the same task. Rolls-Royce envisions a future shipping command center, equipped with a highly advanced AI system that can manage all freight ships in the ocean.

Robert Martin will show slides from his recent journey to Lebanon as well as a short visit to Jerusalem. Learn where and why avalanches occur, how to manage risk and simple ways to avoid avalanche hazards. Whitney expert and mountain guide Kurt Wedberg will discuss gear, trip planning and popular routes to the summit. Please email announcements at least three weeks before the event to travel@latimes.com.

Dmitry Malioutov can't say much about what he built. As a research scientist at IBM, Malioutov spends part of his time building machine learning systems that solve difficult problems faced by IBM's corporate clients. One such program was meant for a large insurance corporation.