Expensive, complicated, and bureaucratic legal processes constrain the judicial system. They make the wheels of justice grind excruciatingly slow. Thus, the shift to digital justice–by integrating artificial intelligence in the courtroom–is gaining traction. Case in point: Beijing, China, launched an online litigation service for "repetitive basic work". The high-tech facility features a female AI judge.

On one end of the spectrum is fear of job loss spurred by a bot revolution. On the opposite is excitement about the overblown prospects of what people can achieve with machine augmentation. But Dr. Mark Esposito wants to root the conversation in reality. Esposito is the co-founder of Nexus Frontier Tech and instructor of Harvard's Artificial Intelligence in Business: Creating Value with Machine Learning, a two-day intensive program. Rather than thinking about what could be, he says businesses looking to adopt AI should look at what already exists.

Southeast Asia's leading IT firm FPT Software on Wednesday gave a public demonstration of autonomous driving technologies at Ecopark, an urban township located 20km east of Hanoi. The demo was carried out as the company had pledged earlier in April. The Yamaha electric golf car, after having been upgraded with FPT Software's latest autonomous technologies, completed a full journey of 4 kilometers around Ecopark without human interaction. The route was designed with five bus stops and various cross-sections to form a slightly challenging environment for the vehicle. As users booked the trip via a mobile app, the vehicle automatically calculated the most optimal route and priorized passengers in a chronological order.

Securing New Ground, the security industry's annual executive conference this week in New York, offered food for thought about current and future trends in the security marketplace. Highlights from SNG 2019 included keynote remarks from security leaders at SAP, Johnson Controls and the Consumer Technology Association, discussions on how CSOs mitigate security risks, topic-focused thought leadership roundtables and a lively networking reception. Top trends observed at the event include cybersecurity, data privacy, facial recognition and artificial intelligence. A "View from the Top" session covered the need for companies to consider responsible use and ethics around technology; responsibility should extend throughout the organization. A panel of security leaders emphasized the need to understand the diversity of risks that end users face.

Clausematch, a software-as-a-service provider for smart document management, has teamed up with Aberdeen Standard Investments (ASI) in Singapore to develop a buy-side solution for the asset management industry under a Digital Accelerator Program run by the Investment Management Association of Singapore (IMAS). The AI and machine-learning-enabled platform developed by Clausematch enabled ASI to test a faster process to confirm ownership and responsibility for policy changes, improved centralization of governance, and oversight of policies and procedures. "Working closely with the team at ASI for the IMAS DAP has been a rewarding experience for all involved. This was the first time we've collaborated with an investment management firm, and we quickly saw how the platform could help ASI solve some of its compliance and AML challenges," says Arathi Arul, Business Development VP for APAC at ClauseMatch. "The project was a real validation of ClauseMatch's flexibility: we were able to quickly adapt to the needs of the buy-side and see huge potential in helping other firms in the sector overcome similar obstacles."

The Defense Innovation Board, a panel of 16 prominent technologists advising the Pentagon, today voted to approve AI ethics principles for the Department of Defense. The report includes 12 recommendations for how the U.S. military can apply ethics in the future for both combat and non-combat AI systems. The principles are broken into five main principles: responsible, equitable, traceable, reliable, and governable. The principles state that humans should remain responsible for "developments, deployments, use and outcomes," and AI systems used by the military should be free of bias that can lead to unintended human harm. AI deployed by the DoD should also be reliable, governable, and use "transparent and auditable methodologies, data sources, and design procedure and documentation."

This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It addresses the first question (parts a. and b.), which asks how artificial intelligence will affect the character and/or the nature of war, and what might happen if the United States fails to develop robust AI capabilities that address national security issues. In the 1983 film WarGames, Professor Falken bursts into the war room at NORAD to warn, "What you see on these screens up here is a fantasy -- a computer-enhanced hallucination. Those blips are not real missiles, they're phantoms!" The Soviet nuclear attack onscreen, he explained, was instead a simulation created by "WOPR," an artificial intelligence of Falken's own invention.

Deep generative models for graphs have shown great promise in the area of drug design, but have so far found little application beyond generating graph-structured molecules. In this work, we demonstrate a proof of concept for the challenging task of road network extraction from image data introducing the Generative Graph Transformer (GGT): a deep autoregressive model based on state-of-the-art attention mechanisms. In road network extraction, the goal is to learn to reconstruct graphs representing the road networks pictured in satellite images. A PyTorch implementation of GGT is available here. The proposed GGT model is designed for the recurrent generation of graphs, conditioned on other data such as an image, by means of the encoder-decoder architecture outlined in Figure 1.

Robotics and Artificial Intelligence (AI) are suffering the same fate as Gemini's hoping to foresee their future by watching Carl Sagan's "Cosmos." While Robotics and AI are often associated with one another, these two fields originate from entirely different disciplines. Read on to learn how companies like Tomahawk Robotics are leveraging these two different, yet complementary, technologies to solve important problems. Often used interchangeably, it is important for industry professionals to properly differentiate between these two technologies. The world of Computer Science claims AI as it relates to the computation, reasoning, and instruction within a computer operation.

Artificial Intelligence (AI) has a rapidly growing presence in today's world. Applications are present in industries ranging from manufacturing to education. It has become clear that AI has the potential to revolutionize how the everyday world works. Join us to learn more about how AI can support your business and personal life. Researchers in the Faculty of Business and IT will provide real-life examples and present how AI changes our everyday life, with topics ranging from digital security, gaming, healthcare, online social connections and more!