If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Next Canada has launched a web platform to deliver important communication tools to Canada's growing artificial intelligence community. In collaboration with a number of influential groups, Next Canada has launched Canada.ai, a home base for all things Canadian AI. The new platform provides aggregated artificial intelligence news, a directory of AI organizations across the country and a calendar of upcoming events for AI researchers, companies and startups. Alongside several of Canada's leading media groups, Digital Journal has partnered with Next Canada to provide news on all things AI, sourcing stories from its digital transformation publication DX Journal. The web platform was spearheaded by Next Canada, but many different organizations from the AI community in Canada came together to get the project up and running: the Vector Institute, the Alberta Machine Intelligence Institute, Borealis AI, Creative Destruction Lab, Element AI, Montreal Institute for Learning Algorithms and the Canadian Institute for Advanced Research were among the groups that worked to create Canada.ai. "It's no secret that artificial intelligence in Canada has reached a tipping point, and it's more important than ever that we as Canadians shine a spotlight on our stories," said Graham Taylor, Academic Director of NextAI and Associate Professor "The platform is a place for everyone in the AI community to share and take pride in our accomplishments."
The problem of learning and decision-making is at the core of human and artificial thought, which is why scientists introduced machine learning (ML) into artificial intelligence (AI). AI is a platform or solution that appears to be intelligent and can often exceed the performance of humans. It is a broad description of any device that mimics human or intellectual functions, such as mechanical movement, reasoning or problem solving. ML is a widely used AI concept that teaches machines to detect different patterns and adapt to new circumstances and can be both experience- and explanation-based. For instance, in robotics, ML plays a vital role by optimizing machine-based decision-making, which eventually increases a machine's efficiency by enabling a more organized way of performing a particular task.
Startups from around the world are innovating in the ways artificial intelligence can be brought to bear in the healthcare space, with clinical, financial and operational applications, as evidenced by new launches from two AI companies with roots in Israel. This week, Netanya-based CLEW Medical, launched its predictive analytics platform, which crunches real-time data with machine learning technology to drive quality and safety improvement and help control costs. The company, formerly known as Intensix, said the AI platform can help health systems prevent life-threatening complications across settings. It's been deployed in intensive care units already, and CLEW aims to expand the technology's applications, giving staff insights to help streamline medical care. Officials pointed out that inpatients often come with some 300 unique data elements to be tracked, some measured every few milliseconds.
C3 IoT has raised $100 million in venture funding led by TPG. The Silicon Valley-based company last raised $70 million in September 2016. SaaS has set off a revolution in the way companies consume services on-demand. We look at how it's spreading to other IT services and transforming IT jobs. Founded by Thomas Siebel, the company has been expanding rapidly, targeting multiple industries with an Internet of Things analytics platform and close cloud ties to Amazon Web Services.
It's no longer news that Oracle has gotten cloud religion. While not the first to market, Oracle has now been in the cloud market long enough to get within eyeshot of having the full buildout of its global presence and portfolio of services. As one of the established names in the data center, the cloud has turned the tables and placed Oracle in the position of challenger, and not surprisingly, Amazon is dead center in its sights. Oracle's positioning is that its later start to the cloud has provided the chance to learn all the lessons of the first-generation providers. Although not using those exact words, Oracle is framing its platform as Cloud 2.0.
Dutch carrier KLM, already an airline industry leader in the use of artificial intelligence (AI) to field customer service inquiries through social media channels, can now deal with many social media interactions without a live agent. The enhancement allows it to answer more questions in a shorter period of time. "This is exactly what the customer needs," said Air France-KLM senior vice president of digital Pieter Groeneveld. KLM said its team of 250 social media service agents engage in approximately 30,000 conversations each week, double the volume they were handling just 13 months ago. On average, conversations consist of five or six questions and answers.
As manufacturers begin the gritty development work to bring autonomous vehicle concepts to market, two paths are emerging to process the vast amounts of artificial intelligence needed to take the human out of the driver's seat. In press conferences that took place one night apart, chipmakers Nvidia and Intel outlined their platforms to power automated driving. Nvidia's approach was holistic, processing as much information as efficiently as possible, while Intel was more conservative, limiting the situations in which to use processing power. While the industry is still years away from determining a best practice for such functions, experts say this technology is necessary to move forward, and could define long-term supplier agreements. "AI is, in my opinion, a must-have when targeting advanced levels of autonomy," said Luca De Ambroggi, an analyst at IHS Markit.
That's set to change in the next decade. While the service droids will stick around, toiling in their niches, the robots we bring home will be more versatile. They won't be vacuums--they'll use our vacuum cleaners, plus all our other appliances and tools, says Ian Bernstein, co-inventor of the popular Sphero toy robot ball and founder of a startup called Misty Robotics. "Eventually, we should go home and there should be a robot that's already prepared dinner and folded our laundry," Mr. Bernstein says. When we ask what a robot can do, we're really thinking, Can it climb stairs?
The business travel industry is in the throes of a new era of transformation as it gradually evolves into a technologically-equipped sector. Dynamic growth in business travel due to a recovering global economy and increasing customer expectations are important factors driving this change. Companies are striving to harness emerging technologies to enhance operational efficiencies in travel and expense management while delivering unparalleled user experience. Not only are they inclined towards technology innovation and proliferation of devices, applications and capabilities, but also towards experiences that will drive real value. Customised travel solutions offering new sources of revenue and growth, and streamlining of budgets through a uniform experience across platforms, are the need of the day.
According to a recent press release, "DeepBrain Chain is an Artificial Intelligence Computing Platform driven by blockchain. The DBC project is for global AI computing resource sharing and resource scheduling because many small businesses do not have the money to buy expensive GPU servers, but many companies have a large number of GPU servers which are idle. Scheduling global resources and increasing the utilization efficiency of resources are of positive significance regarding the AI business computing costs reduction. Its vision aims at providing a decentralized AI Computing platform, which is low cost, private, flexible, and safe. The DeepBrain Chain platform serves the interests of several parties.