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Robots: Chinese military develops enormous robotic YAK that can cover harsh terrain

Daily Mail - Science & tech

An enormous robotic yak, strong enough to carry up to 352 pounds, and able to sprint along at up to 6 miles per hour, has been developed by Chinese scientists. The robot can deal with all sorts of road and weather conditions, according to the Chinese state run People's Daily, which shared a video of the yak on a road. When deployed, it will join soldiers from the Chinese army on logistics and reconnaissance missions across complex environments including snowfields, deserts and mountains. The missions will include working in remote border regions, as well as in high risk combat zones, according to reports by Chinese state media. The robot comes with multiple sensors, giving it a high degree of situational awareness that analysts say can be fed into commanders in a battlefield environment. The robot can deal with all sorts of road and weather conditions, according to the Chinese state run People's Daily, that shared a video of the yak on a road The full details of the Chinese robot yak haven't been revealed, but it can carry up to 352lb of goods.


The US Army sees a future of robots and AI. But what if budget cuts and leadership changes get in the way?

#artificialintelligence

In the Arizona desert, a pair of robots methodically trundles back-and-forth across the craggy earth. Bulky, angular and slow, they're not terribly impressive to watch. But U.S. Army leaders see these robots as a vision of the future: part of a new pipeline to put better, more reliable technology into the hands of soldiers faster than ever before. A year earlier, at the first-ever Project Convergence, held in 2020 at Yuma Proving Ground, users had to tell the robot to go from point A to point B to point C to conduct a reconnaissance mission. For the 2021 event, users simply gave the robots a designated area for the same task, and the system turned to artificial intelligence to determine the best path. The robots demonstrated how they could keep soldiers out of harm's way, allow for sensors in new positions that were previously impractical and present new data to commanders.


New AI-Powered Data Analysis Tool - Defense Advancement

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Systematic has developed a new AI-powered data analysis tool designed to transform data collection and management, providing commanders with an advanced data capture and analysis capability. SitaWare Insight decision support tool builds upon the successful SitaWare Headquarters C4I system. The new product enhances users' Intelligence Requirements Management (IRM) and Collection Management (CM) capabilities, making it easy to store and retrieve information from multiple sources. Henrik Sommer, SitaWare Insight product manager and domain expert, said, "SitaWare Insight exploits the'data lakes' that militaries control, formed from sensor information, images, videos, documents and more. The solution provides a secure, scalable repository for this information and an AI-powered search function, allowing users to pinpoint data on everything from enemy positions, images, documents to equipment. "It's like a military version of a commercial search engine, allowing access to the information you need, when you need it." It significantly enhances Intelligence Preparation of the Battlefield (IPB), offering advanced decision support through data collection, storage, and analysis. For example, operators could use SitaWare Insight to retrieve information on a particular geographical area, then combine this with the mapping capabilities of SitaWare Headquarters to significantly increase situational awareness and provide users with a range of useful data. Sommer points to Automatic Identification System (AIS) data in the naval domain, where SitaWare Insight can help identify patterns within such information: "SitaWare Insight AI can learn what is normal pattern of life in a certain area and then automatically detect and flag anomalies." SitaWare Insight is further enhanced through advanced image and object recognition technology. As such, it can be trained to identify different military objects like vehicles or equipment, tagging these with the appropriate metadata and storing them in the data lake for future access. "This means that later on, you can search for a specific vehicle type, a general topic, or information on a specific area," Sommer explained, adding that it also provides Natural Language Processing technology. "It can read a document of 100 pages or more then produce a one-page summary of key take aways." SitaWare Insight offers a scalable, future-proof solution through its underlying cloud-native architecture, which ensures security and the correct handling and management of data. It enables users to share data on a need-to-know basis and at different classification levels, defining specific user groups to manage access. SitaWare Insight is a significant enabler for the intelligence branch, operational planners, and the soldier on the ground, providing them with a holistic view of the battlefield. "Operational planners are fully dependant on information from the intelligence community.


US Army Announces New Machine Learning Tech For Burn Treatment

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The Defense Department announced a new partnership focused on using machine learning technology to allow anyone--even those without any medical background--to treat burn wounds on the battlefield. In a sole source contract with the Beckman Laser Institute and Medical Clinic at the University of California, Irvine, the U.S. Army Institute of Surgical Research will conduct research in using machine learning algorithms to assess the severity of burn wounds in conjunction with a combination of imaging techniques, specifically Spatial Frequency Domain Imaging and Laser Speckle Imaging systems. "There is a critical unmet need for far-forward triage and monitoring tools that enhance battlefield diagnostics for burn wounds by non-burn experts," the contract announcement reads. "Whilst burns, particularly in their early stages, are dynamic and often evolving, they are influenced by secondary comorbidities." The specific technology requested by USAISR is intended to develop portable devices that can map a 3-D profile of burned skin surfaces and regions to determine burn severity "in the hands of non-expert personnel at the point of injury."


Goldfish are trained to 'drive' a robotic tank by scientists

Daily Mail - Science & tech

In one of the weirdest scientific experiments yet, goldfish have been trained to'drive' a robotic tank around a room. Scientists in Israel constructed a'fish operated vehicle' consisting of a water-filled tank, a camera and a computer on top of a set of wheels. In tests, the onboard camera and computer were able to detect the fish's position in real time and activate the vehicle motors to move the vehicle in the same direction. Six goldfish were successfully trained to use the bizarre device and managed to find their way around the small room towards a food reward. The results suggest that fish can adjust their navigation skills'to a wholly different terrestrial environment', according to the researchers.



China deploys armed robotic vehicles during standoff with India to deal with cold, difficult terrain: reports

FOX News

Fox News national security correspondent Jennifer Griffin discusses a report alleging China is developing'brain control weapons' on'Fox Report.' Reports from India claim that China has started to deploy armed robotic vehicles to handle the altitude and terrain that has proven too difficult for its troops. China and India clashed in Sept. 2020 during a border dispute along the southern coast of Pangong Lake in an area known in China as Shenpaoshan and in India as Chushul, but the armies continued their standoff along the two nations' borders throughout 2021. China has now reportedly deployed unmanned ground vehicles (UGV) to the region of Tibet to strengthen its position. People's Liberation Army (PLA) soldiers march next to the entrance to the Forbidden City during the opening ceremony of the Chinese People's Political Consultative Conference (CPPCC) in Beijing on May 21, 2020.



NGOs and activists call for a ban on the use of autonomous weapons

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NGOs and activists have called for a ban on the use of autonomous weapons that are no longer strictly controlled by human hands, calling the so-called "killer robots" a "threat to humanity". The move comes as the Sixth Review Conference of the Convention on Conventional Weapons (CCW) takes place in Geneva this week, chaired by ambassador Yann Hwang of France. Member states are expected to decide whether to negotiate a treaty that prohibits the use of weapons that are not decisively controlled by human hands. Human Rights Watch (HRW) called for a new treaty to clarify and strengthen existing laws related to these new technologies, adding that "the emergence of autonomous weapons systems and the prospect of losing meaningful human control over the use of force are grave threats that demand urgent action". "These are weapons systems that would operate without meaningful human control. That is, instead of a human, you would have the weapon system itself that would select the target and decide when to pull the trigger. You would not have humans performing these functions, instead, artificial intelligence would replace the soldier on the battlefield," explained Steve Goose, director of Human Rights Watch's Arms Division.


Artificial intelligence can learn to play a complex war game

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In the world of game theory, we refer to games such as Catan, Risk, and Civilization 6 as large-scale strategy games. The defining trait of these games is their massive number of components and how they interact. Games often give players the option to compete against the computer. These computer players are called artificial intelligence (AIs). The purpose of these AIs is to give players an equal challenge.