The creation of machine learning algorithms for intelligent agents capable of continuous, lifelong learning is a critical objective for algorithms being deployed on real-life systems in dynamic environments. Here we present an algorithm inspired by neuromodulatory mechanisms in the human brain that integrates and expands upon Stephen Grossberg\'s ground-breaking Adaptive Resonance Theory proposals. Specifically, it builds on the concept of uncertainty, and employs a series of neuromodulatory mechanisms to enable continuous learning, including self-supervised and one-shot learning. Algorithm components were evaluated in a series of benchmark experiments that demonstrate stable learning without catastrophic forgetting. We also demonstrate the critical role of developing these systems in a closed-loop manner where the environment and the agent\'s behaviors constrain and guide the learning process. To this end, we integrated the algorithm into an embodied simulated drone agent. The experiments show that the algorithm is capable of continuous learning of new tasks and under changed conditions with high classification accuracy (greater than 94 percent) in a virtual environment, without catastrophic forgetting. The algorithm accepts high dimensional inputs from any state-of-the-art detection and feature extraction algorithms, making it a flexible addition to existing systems. We also describe future development efforts focused on imbuing the algorithm with mechanisms to seek out new knowledge as well as employ a broader range of neuromodulatory processes.

DUBAI, UNITED ARAB EMIRATES – Iran is not ruling out negotiations with the United States even after an American drone strike that killed a top Iranian general, the country's foreign minister said in an interview released Saturday. Mohammed Javad Zarif told Germany's Der Spiegel magazine that he would "never rule out the possibility that people will change their approach and recognize the realities," in an interview conducted Friday in Tehran. There has been growing tension between Washington and Tehran since in 2018, when President Donald Trump pulled the United States out of the nuclear deal with Iran. The U.S. has since reimposed tough sanctions that have crippled Iran's economy. But Zarif suggested Iran was still willing to talk, though reiterated his country's previous demand that first the U.S. would have to lift sanctions.

A 65-year-old woman in Utah's Snow Canyon State Park got some unexpected help from a drone operated by the local sheriff's department, after injuring her ankle while hiking with friends. While walking near the edge of Island in the Sky, a famous canyoneering and rock climbing route, she slipped and fell several feet, injuring her ankle to the point where she could no longer stand or support her own weight. The group of three friends she was with called the sheriff's search and rescue team rather than attempt to carry her back down the steep and sandy trail themselves. Search and rescue workers from the Washington Country Sheriff's Department in Utah used a drone to deliver then 660 feet of twine to help setup a rappelling system to get an injured hiker down from a clifftop The sheriff's team decided to bring the woman down from the 400-foot-tall cliff, the equivalent of 40 stories, by strapping her to a stretcher and using a rappelling system to guide her down. The only problem was they didn't have enough rope to reach actually reach the ground.

The comments of the president, who avoided the Vietnam War draft thanks to a diagnosis of bone spurs, drew swift criticism from veterans groups. "Don't just be outraged by #PresidentMayhem's latest asinine comments," Paul Rieckhoff, the founder of Iraq and Afghanistan Veterans of America, wrote in a Twitter post that day. "Take action to help vets facing TBIs," meaning traumatic brain injuries. Traumatic brain injuries result from the powerful changes in atmospheric pressure that accompany an explosion like that from a missile warhead. The missiles were launched by Iran in retaliation for the killing of a top Iranian general, Qassim Suleimani, by an American drone strike in Baghdad on Jan. 3.

The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? We here analyse what is needed in order to provide verified reliable behaviour of an autonomous system, analyse what can be done as the state-of-the-art in automated verification, and propose a roadmap towards developing regulatory guidelines, including articulating challenges to researchers, to engineers, and to regulators. Case studies in seven distinct domains illustrate the article. Keywords: autonomous systems; certification; verification; Artificial Intelligence 1 Introduction Since the dawn of human history, humans have designed, implemented and adopted tools to make it easier to perform tasks, often improving efficiency, safety, or security.

Did you know you could use drone data in agriculture to lower costs and improve crop performance? If yes, chances are you've already heard about Agremo. We've just released a new version of our app and are excited to show you what you can do with drone data in agriculture today. There are many ways in which drone data can help you improve activities on the field, and the different analyses are by far the most important factor. Essentially, you make a drone map of your field and request the according analysis you need.

In 1985 the US pulled the plug on a computer-controlled anti-aircraft tank after a series of debacles in which its electronic brain locked guns onto a stand packed with top generals reviewing the device. Mercifully it didn't fire, but did subsequently attack a portable toilet instead of a target drone. The M247 Sergeant York (pictured above) may have been an embarrassing failure, but digital technology and artificial intelligence (AI) have changed the game since then. Today defence contractors around the world are competing to introduce small unmanned tracked vehicles into military service. Just like an army on the move, there are contrasting views about how far and how fast this technology will advance.

--Enabling cellular connectivity for drones introduces a wide set of challenges and opportunities. Communication of cellular-connected drones is influenced by 3-dimensional mobility and line-of-sight channel characteristics which results in higher number of handovers with increasing altitude. Our cell planning simulations in coexistence of aerial and terrestrial users indicate that the severe interference from drones to base stations is a major challenge for uplink communications of terrestrial users. Here, we first present the major challenges in coexistence of terrestrial and drone communications by considering real geographical network data for Stockholm. Then, we derive analytical models for the key performance indicators (KPIs), including communications delay and interference over cellular networks, and formulate the handover and radio resource management (H-RRM) optimization problem. Afterwards, we transform this problem into a machine learning problem, and propose a deep reinforcement learning solution to solve H-RRM problem. Especially, the heat-maps of handover decisions in different drone's altitudes/speeds have been presented, which promote a revision of the legacy handover schemes and redefining the boundaries of cells in the sky. I NTRODUCTION Commercial drone applications have attracted profound interest in recent years in a wide set of use-cases, including area monitoring, surveillance, and delivery [1].

TEHRAN – An Iranian lawmaker on Tuesday offered a $3 million reward to "anyone who kills" U.S. President Donald Trump to avenge the assassination of a top general, the semi-official news agency ISNA reported. Ahmad Hamzeh, a little-known member of the Majlis, made the offer on behalf of the people of Kerman, the hometown and final resting place of storied commander, Qassem Soleimani. "We will give $3 million to anyone who kills Trump," Hamzeh, who represents Kahnouj county near the southeastern city of Kerman, was quoted as saying by ISNA. He did not say who would pay the bounty offer, which comes a month ahead of a parliamentary election. Soleimani, one of the most popular public figures in Iran, was killed on Jan. 3 in a U.S. drone strike outside Baghdad airport.

Experts say Iran may retaliate for the killing of Qassem Soleimani, its top military leader, with cyber attacks on American companies. Experts say Iran may retaliate for the killing of Qassem Soleimani, its top military leader, with cyber attacks on American companies. Cybersecurity researchers and U.S. government officials said hackers linked to Iran are probing American companies for vulnerabilities. The warnings suggest that the next phase of hostilities between the U.S. and Iran, following the Jan. 3 killing of a top Iranian general in an American drone strike, is likely to play out in cyberspace. The Iranian regime is accused of being behind some high-profile online operations against American targets in recent years. Between 2011 and 2013, hackers targeted big American banks including JPMorgan Chase, Bank of America and Capital One.