Amazon today announced three new artificial intelligence-related toolkits for developers building apps on Amazon Web Services. At the company's AWS re:invent conference in Las Vegas, Amazon showed how developers can use three new services -- Amazon Lex, Amazon Polly, Amazon Rekognition -- to build artificial intelligence features into apps for platforms like Slack, Facebook Messenger, ZenDesk, and others. The idea is to let developers utilize the machine learning algorithms and technology that Amazon has already created for its own processes and services like Alexa. Instead of developing their own AI software, AWS customers can simply use an API call or the AWS Management Console to incorporate AI features into their own apps. AWS CEO Andy Jassy noted that Amazon has been building AI and machine learning technology for 20 years and said that there are now thousands of people "dedicated to AI in our business."

Cylance Inc., the company that is revolutionising cybersecurity with the practical application of artificial intelligence to prevent the most advanced cyber threats, today announced that it has selected Arrow Electronics, Inc. as its distributor in Australia and New Zealand (ANZ). This year, Cylance announced its initial launch into Australia to service market growth across Asia Pacific. Arrow will support Cylance in expanding its regional footprint and providing customers with cyberattack prevention technology where traditional anti-virus software has failed. According to Andy Solterbeck, vice president of Cylance Asia Pacific, Arrow was selected because of its extensive security experience and credentials in the local region. "We are excited to work with Arrow as a distributor that is recognised for its proven track record of releasing highly disruptive technologies into the Australia and New Zealand markets. We look forward to leveraging Arrow's infrastructure and reseller programs to scale the business and enable our customers to upskill quickly," said Solterbeck.

Literally millions of people today participate in the digitally-enabled, peer-to-peer economy,

WASHINGTON - U.S. Sen. Ted Cruz (R-Texas), chairman of the Subcommittee on Space, Science, and Competitiveness, will convene a hearing on Wednesday, November 30, 2016, at 2:30 p.m. on "The Dawn of Artificial Intelligence." The hearing will conduct a broad overview of the state of artificial intelligence, including policy implications and effects on commerce. On October 12, 2016, the White House Office of Science and Technology Policy released a report entitled, Preparing for the Future of Artificial Intelligence. The report outlined opportunities for artificial intelligence, including recommendations on how the technology can be used to advance social good and improve government operations. The report also proposed 23 policy recommendations and a companion strategic plan that identified priorities for federally-funded research and development in artificial intelligence.

The US Department of Veterans Affairs (VA) has signed a five-year deal with Flow Health, an AI company, to develop personalized healthcare plans for veterans using deep learning. Deep learning is a tool in machine learning that is useful for sifting through huge heaps of data to find useful information. Flow Health is focusing on building a knowledge graph, a database containing information about people's genomes and phenotypes, to identify disease risks and recommend treatments. "Our mission is to advance healthcare by applying the latest artificial intelligence techniques to improve the detection, diagnosis, treatment and management of diseases," said Alex Meshkin, CEO of Flow Health. "The VA supports millions of Americans who have served our nation and deserve our honor, respect and the best care our country has to offer. Through our partnership with the VA, Flow Health is working to unleash the power of AI to benefit our nation's veterans."

IAI to Continue Development of an Adaptive Prognosis Tool for the Navy Submarines currently use aging Inertial Navigation Systems (INS) that have demanding maintenance needs. Diagnosing complex problems with critical submarine equipment like the Electrostatically Supported Gyro Navigator (ESGN) Stable Platform and Housing (SP&H) is difficult. A tool that can mine the vast information available from Field Engineer Information Management System (FEIMS) and Level II Manuals, and use smart diagnostics, prognostics and machine learning algorithms to efficiently solve maintenance problems would help optimize the process. IAI and collaborators at The Boeing Company, Integrated Shipboard Systems (ISS), will continue developing the Adaptive Prognostics Tool (APT) system for the Navy. APT will adhere to Naval Open Architecture guidelines and improve maintenance efficiency by presenting accurate and concise troubleshooting recommendations based on text mining historical data of faults and available resources.

The UK government stands to benefit from incorporating artificial intelligence (AI) and related data science techniques into its processes, but must tread carefully when it comes to accountability and transparency, according to the government's chief scientific advisor Mark Walport. Corporate E-mail Address: This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. Corporate E-mail Address: This email address is already registered. This email address is already registered.

Facebook will "cure, prevent, or manage all diseases in our children's lifetime." A new MIT computer responds to human emotions with almost 90% accuracy. NASA and Made in Space are going to turn asteroids into spaceships." Facebook will "cure, prevent, or manage all diseases in our children's lifetime." A new MIT computer responds to human emotions with almost 90% accuracy. NASA and Made in Space are going to turn asteroids into spaceships."

In October, the White House Office of Science & Technology Policy released a report, Preparing for the Future of Artificial Intelligence, and hosted the White House Frontiers Conference, as a culmination of a year long set of activities seeking public comment on artificial intelligence and its policy implications. Tomorrow, the Senate Committee on Commerce, Science & Transportation is convening a hearing on the dawn of artificial intelligence. The witness list looks august and I am looking forward to talking through the content here afterwards.

Donald Trump has mastered the art of the one-liner. The US presidential candidate now has a Twitter bot twin that tries to mimic his signature soundbites. The bot tweets Trump-like statements using an artificial intelligence algorithm based on hours of the candidate's debate speech transcripts. "Trump's language tends to be more simplistic, so I figured that, as a modeling problem, he would be the most manageable candidate to study," says Bradley Hayes, the bot's creator and a researcher at MIT's Computer Science and and Artificial Intelligence Lab, in a statement. Hayes calls the bot DeepDrumpf, which refers to John Oliver's recent segment about Trump's ancestral name. Take a look at a few of DeepTrumpf's hilarious, bizarre, and oddly poetic tweets.