They see it as a way of saying "Hasta la vista, baby" to years of sluggish economic growth. The federal Liberals are expected to use the upcoming federal budget to foster the development of cutting-edge artificial intelligence in the hope it will be a springboard to attracting investment and creating a highly-skilled new sector of jobs. Economic Development Minister Navdeep Bains says fostering AI is one of the pillars of the government's economic growth strategy. He and others see an opportunity for Canada to exploit its competitive advantage in a technology that is becoming ubiquitous across all sectors -- from major companies such as Google or Microsoft to the banking and automotive sectors. The government's vision of AI-enabled growth is not rooted in the apocalyptic science fiction of Terminator movies where robots destroy humanity (Arnold Schwarzenegger appropriated the Spanish phrase "Hasta la vista, baby" in Terminator 2: Judgement Day before sparking some spectacular explosions). Instead, Bains and others point to two Canadian "pioneers" in AI -- Geoff Hinton at the University of Toronto and Montreal computer scientist Yoshua Bengio.

Scan today's headlines and it seems that every business is adopting artificial intelligence (AI), or more accurately, machine learning. Everyone is being told that they need AI, but few know why -- and even fewer know how to use it. The truth is, AI is complex in nature. As the CTO of a company with a foundation in AI, trust me when I tell you that it's harder to implement than you might think. AI and machine learning are not commonplace today because we still lack a few essential building blocks, like a robust software infrastructure around core algorithms, or the interfaces to easily make use of those algorithms.

The mechanics behind machine learning and artificial intelligence can tax many a non-techy brain at the best of times. But the travel industry should be aware of how prevalent it will become in various processes (especially in customer service) and how it can also solve many problems. Here is a good example, and one which is at the heart of one of the fundamental aspects of the travel experience: language. In late-2016, Google quietly pushed out what some are considering to be one of the most "astonishing" updates in the field of machine learning. The ten-year-old Google Translate platform, which apparently deciphers 140 billion words every day across 103 languages for thousands of websites and search terms, switched from its previous system to something called Neural Machine Translation (Google NMT).

Raspberry Pi will probably getting a taste of some advanced artificial intelligence tools from Google as Raspberry Pi Foundation has announced that the search giant is planning to make its "range of smart tools" available for the maker community this year. The machine learning technology from Google will enable makers from the Raspberry Pi community to make even more powerful projects than before, the company said in its official blog. Google has even asked makers to share ideas through a survey so that the company can meet smart tools for the makers. Thank you for taking the time to take our survey. We at Google are interested in creating smart tools for makers, and want to hear from you about what would be most helpful.

Want to watch this again later? Report Need to report the video? Report Need to report the video? Need to report the video? This feature is not available right now.

Movies from The Lawnmower Man to The Matrix to Transcendence have sought to imagine what it might be like if we could literally interface a human mind with a computer. A new movie, MindGamers, is a thriller that will take that to another level by involving the audience to explore that very question. In MindGamers, starring Sam Neill ("Jurassic Park") and Tom Payne (The Walking Dead), a group of brilliant young students discovers the greatest scientific breakthrough of all time: a wireless neural network, connected via a quantum computer, capable of linking the minds of each and every one of us. They determine that quantum theory can be used to transfer motor-skills from one brain to another, and freely spread this technology, believing it to be a first step towards a new equality and intellectual freedom. Other parties are also interested in the technology--but for more nefarious purposes like mass-control to influence populations.

Samsung is expected to replace its S-Voice functionality with an artificially intelligent Bixby voice assistant in its upcoming S8 device. But, how would Bixby fare in comparison with Google Assistant -- the U.S. tech giant's Artificial Intelligence enabled voice assistant? "Samsung and Google will have to continue to maintain their strategic partnership to nurture the AI and the market for the emerging technology," Lee Kyeong-Tae, corporate strategy planning vice-president, Samsung Electronics told The Investor on Tuesday. Samsung has in the past come out with devices having two voice assistants, S-Voice and Google Voice. But this time, the company seems to have different plans for Bixby.

Infosys, a global leader in consulting, technology, outsourcing and next-generation services, today announced that it has been awarded in the'Best in Show' category by TM Forum Live! Asia". TM Forum is a leading global industry association for digital business. The award was given for the'Cognitive Digital Agent' - a project championed by Globe Telecom, Philippines along with Infosys, Amdocs and Huawei. The project demonstrated the feasibility of using cognitive computing technologies aligned to telecom business processes to enhance customer experience in a more intuitive and natural fashion. To address changing consumer needs and demands in today's digital economy, Infosys, along with Huawei and Amdocs, established the Cognitive Digital Agent - a five-month project, led by Globe Telecom. This was aimed at creating the next generation of customer care services, leveraging artificial intelligence technologies. The core solution is driven by Infosys' expertise in natural language processing, machine learning and cognitive computing. The Cognitive Digital Agent has the capability to address complex queries and answer questions through omni-channel access including interactive voice responses (IVR), portals and wearables. The Cognitive Digital Agent creates a difference in situations where, if a call center is contacted, the responses are generated using natural language processing - making them more consumer friendly, or on social media platforms and in smart watches where the machine agent responds to queries 24x7. TM Forum recognized the project for some of these exceptional demonstrations of business outcomes across channels, and the inventive use of machine learning and Artificial Intelligence (AI). "Our goal has been to explore the use of cognitive computing and artificial intelligence technologies such as natural language processing and machine learning to create the next generation of customer care services, which, in turn, enabled us to create this compelling project that can significantly improve customer satisfaction.

Founding Attorney Chad Van Horn says, "We are excited to add ROSS to our already busy team of bankruptcy attorneys. ROSS will allow us to continue to be at the forefront of assisting consumers with their legal issues while keeping attorneys fees at an affordable level. ROSS will assist in equaling the playing field between boutique law firms and big law. In short, we're excited to add ROSS to our extremely talented team of legal professionals." ROSS is an artificial intelligence, and as such has never been to law school or passed the bar, but his research is impeccable.

Last week, I introduced the notion that businesses can gain deeper customer insights if they connect their disparate data silos. Similar to how oncologists can leverage information from genome sequencing to tailor cancer treatments for a specific patient in order to improve health outcomes, businesses can use all customer data from disparate data silos to personalize interactions with their customers to improve customer loyalty. Using the 2 2 graphical approach to understanding data size (i.e., number of customers and number of variables), we can see how the value of your integrated business data is greater than the sum of its parts. Figure 1 illustrates these two components of size by examining four different scenarios of how businesses use their data. In the lower right quadrant, it is business as usual; when departments keep their data siloed, each department only knows a few things about the customers.