Rather than leading to the violent downfall of humankind, artificial intelligence is helping people around the world do their jobs, including doctors who diagnose sepsis in patients and scientists who track endangered animals in the wild, experts said Thursday (Oct. Advancements in the field of artificial intelligence (AI) haven't always been met with enthusiasm. Famed astrophysicist Stephen Hawking warned on several occasions that a fully developed AI could destroy the human race, and Hollywood sci-fi movies are rife with fierce robots battling humans for control. But at yesterday's conference -- attended by the country's leading researchers, innovators, entrepreneurs and students -- scientists explained how newly developed AI is accelerating research and improving lives. Here is a look at five AI inventions that are already redefining technology.

Bulging eyes, protruding tongues, every twitch of Donald Trump's face--the horrors of this election cycle have often played out on the faces of the candidates and their wary surrogates. In the video above, we revisit the many rich visages of the last 18 months.

If you think this election is insane, wait until 2020. I want you to imagine how, in four years' time, technologies like AI, machine learning, sensors and networks will accelerate. Political campaigns are about to get hyper-personalized thanks to advances in a few exponential technologies. Imagine a candidate who now knows everything about you, who can reach you wherever you happen to be looking, and who can use info scraped from social media (and intuited by machine learning algorithms) to speak directly to you and your interests. Here's what future election campaign marketing might feel like… In 2016, 78% of Americans have a social media profile.

Today on In Case You Missed It: MIT's Computer Science and AI Lab have cooked up another autonomously driving vehicle, but this one is a disability scooter. In this newly posted video, you can watch as the scooter navigates around human obstacles when taking a person on the way to their destination. In other AI news, Google and Blizzard Entertainment are teaming up to use Deepmind to train the system to autonomously play Starcraft II. If you, too, have a fondness for Big Mouth Billy Bass, the singing fish trophy, you need to see how one was hacked to be the voice of Alexa. And if you haven't yet played the New York Times' Voter Suppression Trail, you're missing out on both nostalgia and maybe sadness.

There are many good reasons why traditional security practices are becoming less effective at protecting against cyberattacks. There is too much security-related data flooding the network from an increasing number of users and devices. There is a lack of skilled personnel to watch over and analyze this data. And the security staff you have likely wastes too much time chasing down false positives. Valuable minutes -- or even hours -- can tick by before analysts and incident responders are aware of a threat.

Sedonah, 5, speaks Chinese fluently but her father doesn't know a lick of it. So when Sedonah saw a video of him singing a Chinese song, she lit up with amazement. Nikhil Jain didn't spend any time practicing to impress his daughter. But he did spend two years training a computer to sing in his likeness. A technologist's daughter isn't the ideal unbiased tester, but Sedonah's response to the singing routine is what's making her father bullish about the software he's developing.

Ben Dickson is a software engineer and the founder of TechTalks. As artificial intelligence and machine learning mature and manifest their potential to take on complicated tasks, we've become somewhat expectant that robots can succeed where humans have failed -- namely, in putting aside personal biases when making decisions. But as recent cases have shown, like all disruptive technologies, machine learning introduces its own set of unexpected challenges and sometimes yields results that are wrong, unsavory, offensive and not aligned with the moral and ethical standards of human society. While some of these stories might sound amusing, they do lead us to ponder the implications of a future where robots and artificial intelligence take on more critical responsibilities and will have to be held responsible for the possibly wrong decisions they make. At its core, machine learning uses algorithms to parse data, extract patterns, learn and make predictions and decisions based on the gleaned insights.

Written by C. Raja Mohan Updated: November 8, 2016 12:21 am Media reports say an artificial intelligence (AI) system called MogIA, developed by Sanjiv Rai, an innovator based in Mumbai, has predicted that Donald Trump will win Tuesday's presidential elections in the United States. Unveiled in 2004, the system apparently got it right in the last three presidential elections. It also predicted that Trump and Hillary Clinton will be the nominees of the Republican and Democratic Parties respectively. Rai is quoted as saying that the algorithm got even better as it has "learnt" from the last few rounds. MogIA is named after Mowgli from The Jungle Book.

Berg Health's cofounder and chief executive Niven R. Narain is used to being laughed out of rooms, given his interest in bringing artificial intelligence into the drug development process. But things have changed, he says, thanks to growing excitement around the practice known as precision medicine. This afternoon, at the Fast Company Innovation Festival, Narain spoke on a panel on the topic of bringing advanced technologies to medicine with industry experts from Mount Sinai and Columbia University. Precision medicine is an all-encompassing term, which broadly refers to the idea of treating patients in a more personalized, targeted way rather than taking a one-size-fits-all approach to disease. The White House announced a $215 million investment in precision medicine earlier this year; if nothing else, it generated a lot of hype.

Last month, President Barack Obama sat down with WIRED's Editor-in-Chief and MIT Media Lab director Joi Ito to discuss the government's role in the ongoing artificial intelligence revolution. While President Obama is sure that Washington has a critical part to play -- particularly in regulating AI to protect the American labor force -- it is equally important that its involvement doesn't stymie the development and implementation of the technology, he says. When it comes to regulating AI, the president believes that government involvement should be limited, especially during its earlier stages of research and development. "The way I've been thinking about the regulatory structure as AI emerges is that, early in a technology, a thousand flowers should bloom," Obama tells WIRED. "The government should add a relatively light touch, investing heavily in research and making sure there's a conversation between basic research and applied research."