PricewaterhouseCoopers, the large accounting and management consulting firm, released a startling report indicating that workers will be highly impacted by the fast-growing rise of artificial intelligence, robots and related technologies. Banking and financial services employees, factory workers and office staff will seemingly face the loss of their jobs--or need to find a way to reinvent themselves in this brave new world. The term "artificial intelligence" is loosely used to describe the ability of a machine to mimic human behavior. AI includes well-known applications, such as Siri, GPS, Spotify, self-driving vehicles and the larger-than-life robots made by Boston Robotics that perform incredible feats. Craig Federighi, Apple's senior vice president of Software Engineering, speaks about Siri during an announcement of new products at the Apple Worldwide Developers Conference Monday, June 4, 2018, in San Jose, Calif.

Earthquake Alert! 6.7 temblor, epicenter 3.8 miles west of Ventura, California--impact will be in eleven minutes--evacuate, evacuate!" While you run to the hall closet to grab your earthquake kit, you shout out: "Alexa, where is my emergency evac location?" Walk north to Wilshire, then take a left on Warner," she responds. As you and your neighbors pour into the building stairwell, you hear audio from a phone: "Google Earth Q estimates substantial potential for structural damage in the West San Fernando Valley and Coastal West Los Angeles to pre-2006 code dwellings and buildings. Most of West LA will experience total loss of power for anywhere from six to twenty-four hours in duration."

As our ability to sequence genomes has skyrocketed, allowing us to churn out A's, C's, G's, and T's at breakneck speed, our capacity to decipher the sequences has not kept up. This issue was discussed at a recent meeting organized by Advances in Genome Biology and Technology. "We have well exceeded our ability as humans to deal with data," said Eric Topol, MD, founder and director of the Scripps Research Translational Institute, professor, molecular medicine, and executive vice president of Scripps Research. "We need help from machines." To have high-performance medicine, he asserted, "we need high-performance computing."

With technological advancement, IT technology developers are making efforts to develop software that can ease the physical work life. One such advancement in technology is intelligent automation. The intelligent automation is a combination of automation and artificial intelligence. This new technology has revolutionized the way data is handled and processed. The intelligent automation system determines and synthesizes a massive amount of information, automates the business and operational workflows and adapts it.

A Global Navigation Satellite System (GNSS) uses a constellation of satellites around the earth for accurate navigation, timing, and positioning. Natural phenomena like space weather introduce irregularities in the Earth's ionosphere, disrupting the propagation of the radio signals that GNSS relies upon. Such disruptions affect both the amplitude and the phase of the propagated waves. No physics-based model currently exists to predict the time and location of these disruptions with sufficient accuracy and at relevant scales. In this paper, we focus on predicting the phase fluctuations of GNSS radio waves, known as phase scintillations. We propose a novel architecture and loss function to predict 1 hour in advance the magnitude of phase scintillations within a time window of plus-minus 5 minutes with state-of-the-art performance.

Latin America is an ocean of opportunities for developing talent, business and innovation in sectors where Montreal is a leader. Despite their complementarity, Montreal rarely looks at Latin America and vice-versa. "Connecting Intelligence" aims to push forward, conversations leading to understanding how entrepreneurs, and organizations in Montreal and other countries could collaborate to impact the lives of many. This panel is open to people from all sectors, as AI is not a sector but a science that could be applied to all sectors. Sectors invited include video games, life sciences, cyber-security, deep tech, fintech, aerospace, advanced manufacturing technologies, telecom, agritech, nanotech, advanced materials, environment.

Creating accurate maps today is a painstaking, time-consuming manual process, even with access to satellite imagery and mapping software. Many regions -- particularly in the developing world -- remain largely unmapped. To help close this gap, Facebook AI researchers and engineers have developed a new method that uses deep learning and weakly supervised training to predict road networks from commercially available high-resolution satellite imagery. The resulting model sets a new bar for the state of the art for accuracy, and because it is able to accommodate regional differences in road networks, it can effectively predict roads around the globe. We are now sharing the details of our model and making data available to the global mapping community through Map With AI, a new set of specialized map-editing services and tools. Map With AI includes an editor interface, RapiD, which allows mapping experts to easily review, verify, and adjust the map as needed.

I went to UCLA film school, did graduate work in media studies, and early on worked as a development executive at 21st Century Fox. Most weekends I see three or four movies in theaters. Now I work in technology, and I'm witnessing firsthand its transformative effect on the media and entertainment industry. Technology is enabling the democratization of content--access any time, anywhere, on any device--and the impact on media and entertainment company business models and consumer interactions is deep and far-reaching. Recently I spoke with media and entertainment expert Jukka Paajanen, a cloud solution hub senior director at Oracle, about the opportunities and challenges emerging technology presents to the industry.

Seven decades ago, agricultural scientists used high-yielding, dwarf varieties of wheat and rice to revolutionize agriculture across Asia and Latin America – and now European data scientists are teaming up with Kenyan farmers to use the fruits of the Fourth Industrial Revolution to drive the next agricultural one. The Green Revolution produced massive increases in crop yields throughout Asia and Latin America, but even today, many smallholders –farmers who produce crops on small pieces of land – struggle to afford and utilize the mechanized equipment and agricultural chemicals that came with that revolution. When it comes to Africa, there is still great potential for productivity increases in agriculture. The number of small-holder farmers in Kenya could be between 5 million and 9 million people according to some estimates. In order to see how artificial intelligence, machine learning and big data could help those farmers, French consultancy firm Capgemini teamed up with a Kenyan social enterprise in the Kakamega region in Western Kenya.

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