China wants to be a step ahead from the US in the military UAV sphere. According to the reports, 'China's military drone programme is lifting up and moving to the next level,' says Chinese drone engineers. The innovative developments would include fleets of UAV's, boosting up the Chinese naval capabilities and swarm-intelligence systems that coordinates or integrates the operation between drones and other military aircraft. CH-5, also known as Rainbow-5, is one of the most advanced drone specimen that was first tested in 2015. This craft can fly up to 60 hours and has a 4000-mile range and the future enhancement of this UAV is expected to extend the range to 6000 miles.

Tesla vehicles sit parked outside of a new Tesla showroom and service center in Red Hook, Brooklyn in 2016. Tesla vehicles sit parked outside of a new Tesla showroom and service center in Red Hook, Brooklyn in 2016. The National Transportation Safety Board, which is looking into the fatal crash last month of an SUV using Tesla's Autopilot system, said it is removing the high-tech automaker from the probe for improperly disclosing details of the investigation. Tesla says it withdrew from the investigation. The NTSB is examining last month's crash of a 2017 Tesla Model X near Mountain View, Calif.

Digital processes are disrupting and transforming organizations everywhere. Big Data, Machine Learning, AI, and their applications companion, Machine Intelligence, are the soul of this digital revolution. These applications are probably no more essential anywhere else than in cybersecurity operations. The quantity and complexity of digital network information has skyrocketed in recent years due to the explosion of internet-connected devices, the rise of operational technologies (OT), and the growth of an interconnected global economy (including IOT: the Internet of Things). With exponentially multiplying mountains of human- and machine-generated network data, the ability to extract meaningful signals about potentially nefarious activities, and ultimately deter those activities, has become increasingly complex.

DETROIT – Federal safety investigators have booted electric car maker Tesla Inc. from the group investigating a fatal crash in California that involved an SUV operating with the company's Autopilot system. The National Transportation Safety Board said Thursday it removed Tesla as a party to the investigation after the company prematurely made information public. "Tesla violated the party agreement by releasing investigative information before it was vetted and confirmed by the NTSB," the agency said in a statement. "Such releases of incomplete information often lead to speculation and incorrect assumptions about the probable cause of a crash." Tesla later issued a statement claiming that it withdrew from the agreement two days earlier after being told that it would be removed if it made additional statements before the NTSB finished its probe in the next 12 to 24 months.

The US and China have imposed tariffs on each other's goods. But will a skirmish between the world's two biggest economies turn into a full-on trade war? Perhaps it has already started. Both sides have struck initial blows. The US has imposed tariffs on imports of steel and aluminium.

This week we were treated to a veritable carnival attraction as Mark Zuckerberg, CEO of one of the largest tech companies in the world, testified before Senate committees about privacy issues related to Facebook's handling of user data. Besides highlighting the fact that most United States senators -- and most people, for that matter -- do not understand Facebook's business model or the user agreement they've already consented to while using Facebook, the spectacle made one fact abundantly clear: Zuckerberg intends to use artificial intelligence to manage the censorship of hate speech on his platform. Over the two days of testimony, the plan for using algorithmic AI for potential censorship practices was discussed multiple times under the auspices of containing hate speech, fake news, election interference, discriminatory ads, and terrorist messaging. In fact, AI was mentioned at least 30 times. Zuckerberg claimed Facebook is five to ten years away from a robust AI platform. All four of the other Big 5 tech conglomerates -- Google, Amazon, Apple, and Microsoft -- are also developing AI, many for the shared purposes of content control.

A Chinese fugitive was arrested after an AI-powered facial recognition system alerted authorities to his presence in a crowd of 60,000 people attending a pop concert. Welcome to the age of robot snitches. Wanted for "economic crimes," the 31 year-old man was reportedly surprised when police apprehended him. He'd traveled nearly 100 km (about 60 miles) with his wife and friends to attend the event, a concert headlined by Cantopop star Jacky Cheung, before authorities nabbed him on a tip from a venue camera. Chinese authorities have entirely embraced facial recognition systems and AI-powered surveillance monitoring.

Nowadays more and more data are gathered for detecting and preventing cyber attacks. In cyber security applications, data analytics techniques have to deal with active adversaries that try to deceive the data analytics models and avoid being detected. The existence of such adversarial behavior motivates the development of robust and resilient adversarial learning techniques for various tasks. Most of the previous work focused on adversarial classification techniques, which assumed the existence of a reasonably large amount of carefully labeled data instances. However, in practice, labeling the data instances often requires costly and time-consuming human expertise and becomes a significant bottleneck. Meanwhile, a large number of unlabeled instances can also be used to understand the adversaries' behavior. To address the above mentioned challenges, in this paper, we develop a novel grid based adversarial clustering algorithm. Our adversarial clustering algorithm is able to identify the core normal regions, and to draw defensive walls around the centers of the normal objects utilizing game theoretic ideas. Our algorithm also identifies sub-clusters of attack objects, the overlapping areas within clusters, and outliers which may be potential anomalies.

Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments. This paper explores the characteristics, capabilities and intelligence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT). It will experience unique challenges that are not yet well addressed by the current generation of AI and machine learning.

Tesla found itself further embroiled in scandal this week as it faces new allegations of misrepresenting its departure from a National Transportation Safety Board (NTSB) investigation. On March 23, 38-year-old Walter Huang died when his Model X ran into a highway barrier in Mountain View, California. The NTSB sent representatives to look into the fire that resulted from the crash and to determine whether the car's autopilot feature had any role in the fatality. Tesla was a formal participant in the investigation, which means that the company would be expected to offer technical assistance and follow protocols regarding the release of information. The company would also have the ability to influence the official report and to access information that the NTSB discovered.