Dawit Haile fought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off, first landing a job with the Eritrean government department of education, and later as an engineer in Lithuania. Today, Dawit is a data scientist in the San Francisco Bay Area, and he credits this new job to the knowledge and experience he gained from fast.ai. On the side, he's building an algorithm to translate between English and his native language of Tigrinya. Dawit is just one of many impressive fast.ai

India's outsourcing industry is pegged at $150 billion and has been hailed as an engine of job creation and plays a key role in driving the economy to greater heights. The trajectory of growth started around the year 2000 and led to the country building capabilities in the areas of Information Technology (IT), Business Process Outsourcing (BPO) and Engineering Services Outsourcing (ESO). This presented India with a natural and acquired advantage in terms of talent availability, putting it on the global map as a destination for high-quality and competitive technology skills. Today, the Indian ESO sector is well-poised to shift away from the traditional back-office services to more high-end technology work and serve growing sectors such as the global Aerospace & Defence (A&D) industry. Strengths and Opportunities Galore There are some key strengths that India inherently possesses as a potential growth destination of high-end engineering services.

This year algorithms discovered a planet, taught themselves to play chess and wrote a pretty bizarre Harry Potter novel. But they also allowed fake news to influence the US election and enabled advanced mass surveillance in China. Artificial intelligence (AI), not the type that will see super intelligent robots destroy humanity, but the type that might deny you a credit card or develop a scarily accurate picture of your life, is already starting to shape how we live. This will only continue as governments start to invest huge sums in the field. Where are the voices of ordinary people in the conversation about how AI should develop?

The phrase "artificial intelligence" can stir up a lot of panic at some federal agencies, and can give rise to the idea of intelligent machines putting some employees out of work. However, some federal agencies are embracing the idea of artificial intelligence, and in those test cases, adopting machine learning comes down to a few key strategies like starting small and managing expectations. While AI isn't a panacea for every big-data problem in government, agency leaders say they see value in using machine learning to handle the most tedious aspects of handling data, which frees up human operators to address more mission-critical issues. "Artificial intelligence is an imperative. It's not something that's nice to have, or something that we should consider at some point," Teresa Smetzer, the director of digital futures at the Central Intelligence Agency said Tuesday during an event sponsored by Partnership for Public Service and the IBM Center for the Business of Government.

The Army general likely to be tapped to head U.S. Cyber Command and the NSA has some big plans for deploying cyber forces and using artificial intelligence in information attacks. Lt. Gen. Paul Nakasone, who currently leads U.S. Army Cyber Command, is expected to nominated in the next few months to replace Adm. Michael Rogers, as first reported by The Cipher Brief (and confirmed by the Washington Post and a Pentagon source of our own). But caution is in order: the rumor mill says several other contenders are in the running, including Army Lt. Gen. William Mayville. Neither Cyber Command nor the Pentagon would comment about the potential nomination. UPDATE: As @TheCipherBrief reported, Lt. Gen. Paul Nakasone is expected to be Trump's nominee.

With the release of Apple's Siri and comparable voice search assistance from Microsoft and Google, you might have speculated why it took so long for speech recognition innovation to progress to this stage. In addition, one may also wonder what the future holds for natural language-based machine intelligence learning and its impact on our everyday lives. A closer look at the history and development of voice recognition technology may be somewhat akin to watching a toddler grow up, advancing from the baby-talk level and developing terminologies of countless words to responding to queries with fast, amusing repartees, just like what the clever digital assistant Siri does. Here is a close depiction at the innovations of the past generations with regards to speech recognition and what the future has in store for this technology. The "Audrey" system is the earliest speech recognition device that could recognize only digits.

SpaceX has defended its rocket performance during the weekend launch of a secret U.S. satellite, amid reports that the secret satellite codenamed Zuma was lost. Company President Gwynne Shotwell said the Falcon 9 rocket'did everything correctly' Sunday night and suggestions otherwise are'categorically false.' Northrop Grumman -- which provided the satellite for an undisclosed U.S. government entity -- said it cannot comment on classified missions. The company chose SpaceX as the launch provider, noting late last year that it took'great care to ensure the most affordable and lowest risk scenario for Zuma.' The name refers to a Malibu beach in Southern California. This was SpaceX' s third classified mission for the U.S. government, a lucrative customer.

China's top security officer has revealed plans to use artificial intelligence to predict crime, terrorism and social unrest before it happens. Meng Jianzhu, the head of the Chinese Community Party's central commission for political and legal affairs, said the government would start to use AI software which uses machine learning, data mining and computer modelling to predict where crime and disorder is likely to occur. "Artificial intelligence can complete tasks with a precision and speed unmatchable by humans, and will drastically improve the predictability, accuracy and efficiency of social management," Mr Meng told colleagues at a meeting in Beijing on Friday. He said security forces should look for patterns in data about terror attacks and build an analysis model to help authorities predict where the attack may strike, Chinese news website thepaper.cn Mr Meng also called for all elements of the Chinese state and the party to share data with each other and for renewed efforts to integrate surveillance footage systems across the country.

TORONTO, Jan. 9, 2018 /PRNewswire/ – TD Bank Group (TD) (TSX and NYSE: TD) today announced the acquisition of Layer 6 Inc. ("Layer 6"), a world-renowned artificial intelligence (AI) company based in Toronto, Ontario. Layer 6 has emerged as a global thought-leader and pioneer in the delivery of responsive, personalized and insight-driven experiences for the financial services industry. Layer 6 founders Tomi Poutanen and Jordan Jacobs are also co-founders of the Vector Institute, a world leader in AI research and education that TD also supports. "Anticipating and meeting customer needs are at the heart of our promise, and we are excited to further accelerate our innovation agenda to deliver well into the future. As we deploy new solutions, we will extend our deep relationship with customers across all of our platforms and offer personalized, connected and legendary experiences for our customers in the digital age."