Iran almost got into a full-blown conflict with the United States when a U.S. drone strike killed top Iranian military commander Qassem Soleimani in Baghdad on Jan. 3, prompting Tehran to retaliate with a missile barrage against a U.S. base in Iraq days later.

Amazon is pivoting resources and workers typically devoted to its drone division to make and sell face shields that help protect people against COVID-19. According to Amazon, it will sell the face shields'at-cost' meaning it won't make a profit off of them, and says it will announce the selling price for buyers'in the next few weeks.' For now it says that initiative will prioritize selling the shields to frontline workers but the company plans to open up sales to the public in the near future. Among the advantages of making masks themselves, according to Amazon, is a lower end cost to customers. Amazon plans to sell the face shields at cost, meaning the company won't be making a profit.

Traditional distributed deep reinforcement learning (RL) commonly relies on exchanging the experience replay memory (RM) of each agent. Since the RM contains all state observations and action policy history, it may incur huge communication overhead while violating the privacy of each agent. Alternatively, this article presents a communication-efficient and privacy-preserving distributed RL framework, coined federated reinforcement distillation (FRD). In FRD, each agent exchanges its proxy experience replay memory (ProxRM), in which policies are locally averaged with respect to proxy states clustering actual states. To provide FRD design insights, we present ablation studies on the impact of ProxRM structures, neural network architectures, and communication intervals. Furthermore, we propose an improved version of FRD, coined mixup augmented FRD (MixFRD), in which ProxRM is interpolated using the mixup data augmentation algorithm. Simulations in a Cartpole environment validate the effectiveness of MixFRD in reducing the variance of mission completion time and communication cost, compared to the benchmark schemes, vanilla FRD, federated reinforcement learning (FRL), and policy distillation (PD).

Behavior Trees (BTs) were invented as a tool to enable modular AI in computer games, but have received an increasing amount of attention in the robotics community in the last decade. With rising demands on agent AI complexity, game programmers found that the Finite State Machines (FSM) that they used scaled poorly and were difficult to extend, adapt and reuse. In BTs, the state transition logic is not dispersed across the individual states, but organized in a hierarchical tree structure, with the states as leaves. This has a significant effect on modularity, which in turn simplifies both synthesis and analysis by humans and algorithms alike. These advantages are needed not only in game AI design, but also in robotics, as is evident from the research being done. In this paper we present a comprehensive survey of the topic of BTs in Artificial Intelligence and Robotic applications. The existing literature is described and categorized based on methods, application areas and contributions, and the paper is concluded with a list of open research challenges.

As countries around the world are gradually reopening following lockdowns, government authorities are using surveillance drones in an attempt to enforce social distancing rules. In India, police are using AI-equipped drones developed by US start-up Skylark Labs to monitor evening curfews and the distance between people who are outside during the day. The drones are being flown in six cities in the northern state of Punjab, and are also being trialled in the southern city of Bangalore, says Skylark Labs CEO Amarjot Singh. Each drone is fitted with a camera and an AI that can detect humans within a range of 150 metres to 1 kilometre. If it spots people it can send an alert to police in the district located nearest to the sighting.

As countries around the world are gradually reopening following lockdowns, government authorities are using surveillance drones in an attempt to enforce social distancing rules. In India, police are using AI-equipped drones developed by US start-up Skylark Labs to monitor evening curfews and the distance between people who are outside during the day. The drones are being flown in six cities in the northern state of Punjab, and are also being trialled in the southern city of Bangalore, says Skylark Labs CEO Amarjot Singh. Each drone is fitted with a camera and an AI that can detect humans within a range of 150 metres to 1 kilometre. If it spots people it can send an alert to police in the district located nearest to the sighting.

Animosity deepened in early January when a U.S. drone strike in Baghdad killed top Iranian military commander Qassem Soleimani. Later that day, Iran's armed forces shot down a Ukrainian airliner, killing all 176 people aboard, in what the military later acknowledged was a mistake.

Libya's UN-supported government launched a counterattack on Sunday against a strategic military base used by renegade commander Khalifa Haftar to pound the capital Tripoli with rocket fire. The response came after a missile barrage damaged Tripoli's main airport and set fuel tanks and several aircraft ablaze, with at least six civilians killed in surrounding residential areas in the attacks on Saturday. Meanwhile, Turkey - the Government of National Accord's (GNA) main ally defending Tripoli against Haftar's Libyan National Army (LNA) - threatened to step up its attacks against the eastern-based LNA, which has attempted to seize the capital for more than a year. "The forces of war criminal [Haftar] fired more than a hundred rockets and missiles at residential areas in the centre of the capital," the GNA said in a statement on Facebook. The airport was badly damaged and came under renewed rocket fire on Sunday morning, it said.

While most countries in the world are fighting exponential growth of coronavirus infections, China seems to have gotten the situation under control. That's been largely due to the Chinese government's ability to enforce preventive measures more successfully than Western democracies. Individualism, a patchwork approach and fear of stopping economic growth backfired in the U.S. and some European countries. An overlooked factor that helped flatten the curve in China: Technology. Social distancing, contactless transactions, cleaning and gathering diagnostic data have been made possible by automated technologies developed at Chinese companies.

It's very rare to see any travel video or brochure these days that doesn't have an image shot from overhead, on a drone. Life seems more dramatic up from above, right? The units themselves have gotten way easier to use, more affordable and the camera quality is pretty amazing. Imagine being able to throw a high-quality camera in the air that can get stunning overhead shots, smooth video even in wind and always somehow return home to sender. It's one of the major tech advancements of our time, but it can be a little confusing.