Machine learning has historically been successful at dealing with structured datasets, such as tabular data. With recent advances, particularly in deep learning, there are now also well-established and powerful methods for working with image, text and speech data. However, a lot of real-world data does not easily fit into one of these categories. One important class of such data is network or graph data, which can be used to model concepts such as social networks, transaction flow, computer networks and even molecular interactions. Using graphs we can easily represent and capture the complex interactions and dependencies between objects, but it also opens up a question: How can we apply machine learning to graph structured data?

The i2CAT Foundation will be at the IoT Solutions World Congress 2019 in Barcelona presenting its capabilities as a leader in the digital transformation of both industry and society and as an excellent technological partner for enterprise challenges. From October 29th to the 31st, the center will showcase how advanced digital technologies like UWB, IoT, AI, robotics or Blockchain will be paramount in designing a better and smarter future for all. Independence and autonomy can be challenging as people grow older and daily tasks become harder. The introduction of technologies like AI, robotics and IoT assure that being at home does not conflict with a professional, comprehensive care and high standards in quality of life. The i2CAT Foundation, together with ConnecThink and Group Saltó, present a testbed that demonstrates how healthcare providers, caretakers and patients can bring care into the home and rapidly respond to emergencies originated at the patient's house.

Meet DigiDoug, the first digital human to give a TED talk in real time. DigiDoug is the virtual version of Dr. Doug Roble, senior director of Software R&D at Digital Domain, the award-winning visual effects studio behind the characters and visual effects for movies like The Curious Case of Benjamin Button, Maleficent, Disney's The Beauty and the Beast and Avengers: Endgame. Roble and Digital Domain's Digital Human Group have presented DigiDoug at multiple events, showcasing their state-of-the-art digital human technology that's driven by an inertial motion-capture suit and a single camera capture for facial animation. But to capture and recreate emotions and actions in real time, the Los Angeles-based studio turned to more powerful and advanced technology: machine learning and real-time rendering. With NVIDIA RTX technology and Unreal Engine from Epic Games, Digital Domain is bringing photorealistic digital humans to life -- all in real time.

If there was an emergency and you saw a police robot patrolling the area, a reasonable person would expect that simply pushing its emergency alert button would call for help. That's what a California woman reportedly tried to do. In reality, the robot told her to get out of the way and carried on with its business. According to NBC News, Cogo Guebara noticed the police robot when a fight broke out in the parking lot of Salt Lake Park. However, despite pressing the emergency alert button multiple times, the robot merely asked Guebara to step aside and continued to scoot along its preprogrammed path, occasionally telling people to keep the park clean.

Security officers keep watch in front of an AI (Artificial Intelligence) sign at the annual Huawei Connect event in Shanghai, China September 18, 2019. Rapid advances in digital technologies amplify the potential for data acquisition from and influence over other states. One state aggressively pursuing digital advantage globally is China, especially in its leveraging of artificial intelligence (AI). This memo presents recent data from multiple sources and initial analysis to set the stage for discussion about the profound implications of imminent digital power by China. A leading concern for those states not presently engaged in AI and related technologies is that they will fall behind those that are already heavily innovating and investing.

The Weather Company, an IBM Business, sets great by store by Artificial Intelligence (AI) which can be a game-changer in tracking/forecasting weather events in the context of climate change/global warming. It's being governed by the same factors today and tomorrow," explains Kevin Petty, Director, Science and Forecast Operations at The Weather Company, What we need to recognise here is that weather in different parts of the world will change from what it has been and that could mean more severe thunderstorms or precipitation events than in the past. "I guess we have generally done well in the past, but we need to do is to do a better job of capturing such events so that we can better inform our clients," Petty told BusinessLine in an exclusive chat in New Delhi recently. The Weather Company is launching later this year the Global High-Resolution Atmospheric Forecasting System (GRAF) model capable of predicting a thunderstorm virtually anywhere on the planet every hour. "We're looking to see how best we can capture these high impact events, thunderstorms or tropical cyclones or what have you," he said in response to a question on harsh monsoon events in India in 2018 and 2019.

Chiniki Guard, a Nigerian Information Communication Technology (ICT) startup application has won the best prize of 10,000 USD in the Artificial Intelligence category competition at the ongoing Gulf Information Technology Exhibition (GITEX). GITEX is a global annual and biggest technology gathering in the Middle East,North Africa and South Asia with theme "Synergising the Mind and Technology Economy."aqq Chiniki Guard is an Artificial Intelligence security solution for retail stores,supermarkets to monitor,detect and alert shop owners of shoplifting as well as suspicious behaviour in real time. Chiniki Guard is among the 34 startups in the category of the Supanova finalists at the GITEX Futurestars competition. Speaking with the News Agency of Nigeria (NAN)Mr Abdulhakim Bashir,the Founder of Chiniki Guard, said the opportunities at GITEX had accorded him the win and would enable him widen the scope of his business.

BAE Systems originally won the contract for the Hallmark Tools, Capabilities, and Evaluation Methodology program in November 2017. WASHINGTON -- The Defense Advanced Research Projects Agency awarded BAE Systems the second phase of an existing $12.8 million contract to develop digital tools to test and evaluate technologies for space command and control. The second phase focuses on the use of machine learning for space and situational awareness, the company announced Aug. 13. BAE Systems originally won the contract for the Hallmark Tools, Capabilities, and Evaluation Methodology (Hallmark-TCEM) program in November 2017. The program is to help operators improve their understanding of space events and their ability to take actions in response to situations that might affect U.S. satellites in space.

Yoshua Bengio is recognised as one of the world's leading experts in artificial intelligence and a pioneer in deep learning. Following his studies in Montreal, culminating in a PhD in computer science from McGill University in 1991, Professor Bengio did postdoctoral studies at the Massachusetts Institute of Technology (MIT) in Boston. In 2019, he was awarded the Killam Prize as well as the 2018 Turing Award, considered to be the Nobel prize for computing. These honours reflect the profound influence of his work on the evolution of our society. Yoshua Bengio is also known for collecting the largest number of new citations in the world in the year 2018.

Over the past decade, artificial intelligence (AI) has emerged as the software engine that drives the Fourth Industrial Revolution, a technological force affecting all disciplines, economies, and industries. To this end, various governments have embarked on the path to formulate and/or implement a national strategy for AI, starting with Canada in 2017. The framework aims to guide governments that are yet to develop a national strategy for AI or which are in the process of developing such a strategy. The framework will help the teams responsible for developing the national strategy to ask the right questions, follow the best practices, identify and involve the right stakeholders in the process and create the right set of outcome indicators. Essentially, the framework provides a way to create a "minimum viable" AI strategy for a nation.