This file may not be suitable for users of assistive technology. If you use assistive technology (eg a screen reader) and need a version of this document in a more accessible format, please email contact@go-science.gsi.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

The rise of artificial intelligence has left many concerned about job security. According to Atlassian CTO Sri Viswanath, though, the rise of machine learning will lead to more developer jobs, not fewer.

California-based startup ObEN uses artificial intelligence to create a personalized and realistic 3D virtual self with just one smartphone image, and transports your virtual self into any AR and VR environment. ObEN, who was also chosen as one of 33 companies to participate in HTC's VIVE X accelerator program, raised nearly $8 million for their software that would historically take expensive hardware, and hours in a professional studio. "You can just take a quick selfie and a small sample of your voice and we combine it for you," obEN CEO and co-founder Nikhil R. Jain explained. "It makes a very personalized avatar which is speaking in your voice and moving like you. Once we have your voiceprint we can actually create new content in your voice, which would be attached to your avatar. And it can be employed into different kinds of scenarios. So you could actually tell this avatar, 'Read a book to put my kids to sleep.' " Using CUDA and GPUs on the Amazon cloud to train their deep learning models, their technology is able to capture the tone and intonation of a user's voice based on just a little voice recording.

Bill Gates is the latest prominent figure from the technology industry to express concern about the future evolution of artificial intelligence, although he thinks it will be "decades" before super-intelligent machines pose a threat to humans. He joins Elon Musk and Stephen Hawking in suggesting that the march of AI could be an existential threat to humans. The former Microsoft boss gave his opinion during his latest Ask Me Anything (AMA) interview on the Reddit networking site. "I am in the camp that is concerned about super intelligence. First the machines will do a lot of jobs for us and not be super-intelligent. That should be positive if we manage it well," wrote Gates.

Are consciousness and emotion essential components for creating music? Johann Sebastian Bach never completed his 18th-century work "The Art of Fugue," but now a computer might do it for him. University of Washington researchers on Wednesday released MusicNet, a large-scale classical music dataset aimed at helping machines understand the basic structure of classical music -- and even predict the next notes in a recording. The publicly available dataset includes 330 classical music recordings, along with more than a million annotated markers, verified by trained musicians, that indicate the timing of each note, the instrument that plays it and the note's position in a composition's metrical structure. "At a high level, we're interested in what makes music appealing to the ears, how we can better understand composition, or the essence of what makes Bach sound like Bach," Sham Kakade, a UW associate professor of computer science, engineering and statistics, said in a statement.

Amazon is partnering up with Techstars to launch an Alexa Accelerator for companies developing conversational artificial intelligence. Starting in January 2017, early-stage companies working on speech technology or voice applications in any industry--including, but not limited to automobiles, health, communications, wearables, and connected homes--can apply for the 13-week program, and a chance to win $120,000. Ten to 12 startups will have a spot in the program, and will live at the University of Washington beginning in July 2017. Participants will each receive a total of $20,000, and will have a chance to work with Amazon and Techstars mentors to develop strategies that will help further their business. A demo day will be held in October during which companies will share their product with investors, and a select few will win an additional $100,000 at the conclusion of the program.

The mainstream media is trying to make it look like Donald Trump has no chance of beating Hillary Clinton on Election Day in two weeks. That's why it came as a massive shock to many when an artificial intelligence (AI) system that correctly predicted the last three elections puts Trump ahead of Clinton in the race. According to The Gateway Pundit, the system found that enthusiasm for Trump is higher than the numbers Barack Obama had in 2008. Trump has overtaken Obama's popularity that year by a whopping 25%. CNBC reported that the system is called MogIA, and it was founded by Sanjiv Rai, the founder of Indian start-up Genic.ai.

What can your face say about you? Face recognition technology can pick up on things like your age, gender and maybe even your mood. Now, two researchers say it could even tell whether you're a criminal. They are claiming to have developed a system that, when shown a series of faces it has never encountered before, can pick out the ones belonging to convicted criminals. But other researchers have criticised the results, and say the work raises ethical questions over what face recognition technology can and should be used to detect.

Machine learning has become an invaluable tool in the fight against fraud. It combines computational statistics, artificial intelligence, signal processing, optimisation, and other methods to identify patterns. Machine learning has been a significant breakthrough in helping companies move from reactive to predictive by highlighting suspicious attributes or relationships that may be invisible to the naked eye but indicate a larger pattern of fraud. The great value of machine learning is the sheer volume of data that computers can analyse that humans cannot, thanks to a variety of pattern recognition algorithms. With this you can add exponentially more data to your analysis -- but selecting the right data and approach to model the problems is critical. A solid solution also requires specialised expertise to apply rigorous methodology in data analysis and develop the fraud models to ensure consistent quality.

Aviation: Thanks to sophisticated automation systems, people who fear flying can rest assured that practically no one is controlling the plane in any way Finance: AI-assisted trading has successfully resulted in bottle service all across the Manhattan nightclub circuit Writing: Some organizations are rely much computers write article export template! Writing: Some organizations are rely much computers write article export template!