The I-7 Innovators' Strategic Advisory Board on People-Centered Innovation is the engagement group launched last May during the G7 Summit in Taormina (par. The group is in charge of providing guidance on emerging innovation issues. The creation of this group is an experiment proposed by the Italian G7 Presidency with the goal of driving attention towards the multiple challenges that innovation poses and cannot be faced only at national level. Each country and the EU have designated their own group of experts. We encourage Canada to consider continuing this experiment during their imminent Presidency. How can AI help governments make better decisions and deliver policies and services more effectively?

In the long view of history, North Korea getting a nuclear-tipped intercontinental missile in 2017 is the rough equivalent of an army showing up for World War II riding horses and shooting muskets. Nukes are so last century. War is changing, driven by cyberweapons, artificial intelligence (AI) and robots. Weapons of mass destruction are dumb, soon to be whipped by smart weapons of pinpoint disruption--which nations can use without risking annihilation of the human race. If the U.S. is innovative and forward-thinking, it can develop technology that ensures no ill-behaving government could ever get a nuke off the ground.

Alexander the Great's'lost city' was a magical place where people drank wine and naked philosophers imparted wisdom, ancient accounts claim. Now, nearly 2,000 years after the great warrior's death, archaeologists believe this illusive city may have finally been discovered in Iraq. Experts first noticed apparently ancient remains in the Iraqi settlement, known as Qalatga Darband after looking at declassified American spy footage from the 1960s. The images were made public in 1996 but, due to political instability, archaeologists were not able to explore the site properly for years. Using more recent drone footage, experts have now established there was a city during the first and second centuries BC which had strong Greek and Roman influences.

You know a topic is trending when the likes of Tesla's Elon Musk and Facebook's Mark Zuckerberg publicly bicker about its potential risks and rewards. In this case, Musk says he fears artificial intelligence will lead to World War III because nations will compete for A.I. superiority. Zuckerberg, meanwhile, has called such doomsday scenarios "irresponsible" and says he is optimistic about A.I. But another tech visionary sees the future as more nuanced. Ray Kurzweil, an author and director of engineering at Google, thinks, in the long run, that A.I. will do far more good than harm.

When it comes to drone regulations, the FAA's rules trump anything local governments conjure up. That's what a federal court in Massachusetts has proven when it ruled in favor of a commercial drone owner who sued the city of Newton over its drone ordinance. Newton resident Michael Singer filed the lawsuit in a bid to eliminate some of the city's rules that don't align with the FAA's, including having to register with every municipality it has to fly over and to maintain an altitude of 400 feet and above over private and Newton city property. Two of the rules he chose not to challenge prohibit operating drones in a reckless manner and the use of drones to spy on people. Singer argued that having to register with every municipality would make flights impossible, since an unmanned flying vehicle could cross several for a trip that takes a few minutes.

Elections unleash strong political views on Twitter, but what do people really think about politics? Opinion and trend mining on micro blogs dealing with politics has recently attracted researchers in several fields including Information Retrieval and Machine Learning (ML). Since the performance of ML and Natural Language Processing (NLP) approaches are limited by the amount and quality of data available, one promising alternative for some tasks is the automatic propagation of expert annotations. This paper intends to develop a so-called active learning process for automatically annotating French language tweets that deal with the image (i.e., representation, web reputation) of politicians. Our main focus is on the methodology followed to build an original annotated dataset expressing opinion from two French politicians over time. We therefore review state of the art NLP-based ML algorithms to automatically annotate tweets using a manual initiation step as bootstrap. This paper focuses on key issues about active learning while building a large annotated data set from noise. This will be introduced by human annotators, abundance of data and the label distribution across data and entities. In turn, we show that Twitter characteristics such as the author's name or hashtags can be considered as the bearing point to not only improve automatic systems for Opinion Mining (OM) and Topic Classification but also to reduce noise in human annotations. However, a later thorough analysis shows that reducing noise might induce the loss of crucial information.

Today is a tremulous time for a lot of people in almost every sector around the globe. Things are changing fast thanks primarily to awesome technological advances like nothing we have seen since the invention of gunpowder. No one can deny how the world has been and continues to be changed by gunpowder. Now it is the internet that is disrupting entire societies, both for good and for evil. Everything from Artificial Intelligence (AI) and Machine Learning (ML) to small IoT gadgets that monitor an employee's daily activities are blasting off into the stratosphere as they continue to develop.

Indian government has constituted a task force on artificial intelligence (AI) to digitize big industries of the country. Task force comprises of experts, academics, researchers including state owned defense research institution DRDO and industry leaders. It will explore possibilities to leverage AI for development across various fields. "With rapid development in the fields of information technology and hardware, the world is about to witness a fourth industrial revolution. Driven by the power of big data, high computing capacity, artificial intelligence and analytics, Industry 4.0 aims to digitize the manufacturing sector," Nirmala Sitharaman, India's Minister of Commerce & Industry said.

Researchers from BYU (Brigham Young University) were successful in giving common sense to the artificial intelligence agents with the help of Wikipedia. Walk into a room, see a chair, and your brain will tell you that you can sit in it, tip it over or lift it up, but you wouldn't even consider drinking it, promoting it or unlocking it. As humans, explains BYU computer science professor David Wingate, we know intuitively that certain verbs pair naturally with certain nouns, and we also know that most verbs don't make sense when paired with random nouns. "Consider the monitor on your desk: you can look at it, you can turn it on, you can even pick it up or throw it, but you cannot impeach it, transpose it, justify it or correct it," said Wingate. "You can dethrone a king or worship him or obey him, but you cannot unlock him or calendar him or harvest him." That intuition, for the most part, doesn't exist with computer artificial intelligence agents, who are good at identifying objects but less so in knowing what to do with them.

DUBAI – Iran said on Saturday it had successfully tested a new ballistic missile with a range of 2,000 km (1,200 miles) and would keep developing its arsenal despite U.S. pressure to stop. The United States has imposed unilateral sanctions on Iran, saying its missile tests violate a U.N. resolution, which calls on Tehran not to undertake activities related to missiles capable of delivering nuclear weapons. Iran says it has no such plans. U.S. President Donald Trump said on Twitter the missile test illustrates the weakness of the Iran nuclear deal reached by his predecessor Barack Obama. He also linked the action to recent aggressive moves by North Korea.