If a high temperature or the absence of a mask is detected, the robots send an alert to the relevant authorities. All data can be transmitted to a centralised control center for real-time situational response and decision making. Moreover, although these robots are self-driving machines, they can also be controlled remotely, thereby saving manpower by reducing patrolling responsibilities and preventing cross-infection. These next-generation 5G patrol robots have already been spotted at airports and shopping malls in the cities of Guangzhou, Shanghai, Xi'an and Guiyang.

Artificial Intelligence (AI) technologies are promising to transform the forefront of many business operations. The technology is proving itself evidently beneficial in revolutionizing the workplace culture as well. AI tends to guide, organize and automate work while improving staff efficiency and productivity. Specifically, when AI is blended with automation, it maximizes the company profits by utilizing the minimum manpower yet in a right and creative manner. The technical improvements brought in by them contribute to the management of several tasks in the office that are achieved effortlessly and employees' work becomes less tiring. Artificial intelligence (AI) will be widely adopted in office environments in a variety of ways over the next few years as businesses invest in digital workplace initiatives, said Gartner analysts in their 2019 analysis.

This pandemic is the biggest "black swan" event we have witnessed in our lives so far. A black swan event is characterized by a very low probability but extremely high impact. The last one was 9/11 in the US, which some still saw coming. But Covid-19 has taken us all by surprise. Cases and deaths have had a geometric rise, which defeats understanding, because our minds tend to think in terms of linear progression.

Researchers have used artificial intelligence (AI) to detect Vietnam War-era bomb craters in Cambodia from satellite images – with the hope that it can help find unexploded bombs in near future. The new method increased true bomb crater detection by more than 160 per cent over standard methods, they said. The model, combined with declassified US military records, suggests that 44 to 50 per cent of the bombs in the area studied may remain unexploded. "As of now, attempts to find and safely remove unexploded bombs and landmines – called demining – has not been as effective as needed in Cambodia," said study researcher Erin Lin from Ohio State University in the US. For the findings, published in the journal PLOS One, the researchers started with a commercial satellite image of a 100-square-kilometre area near the town of Kampong Trabaek in Cambodia.

The outbreak of coronavirus pandemic has somehow set the stage for artificial intelligence (AI) solutions to come into limelight across the healthcare sector. Their services in the crisis have simplified the work for many healthcare professionals including doctors. Where doctors are selflessly working 15-18 hours in hospitals, AI-enabled technologies are assisting their line of work with great efficiency to cure patients. For example, a team headquartered at Boston Children's Hospital is implementing machine learning to scour through social posts, news reports, data from official public health channels and information supplied by doctors for warning signs that the virus is taking hold in locations outside of China. Besides, AI coupled with robotics capabilities is working as a mechanical healthcare provider for those suffering from COVID-19 symptoms. However, due to such productivity and enhanced features, many fear that AI could replace doctors.

Artificial Intelligence and Machine Learning are two commonly used technologies that companies use interchangeably. They are not the same thing but the perception that they look similar can often lead to confusion among these terms. Both these terms come up very frequently when the topic is Big data, analytics and when the broader waves of technological change that is sweeping the world. Artificial Intelligence is the broader concept of machines that are capable enough of carrying out tasks in a way that we consider as "Smart". Machine learning is the current application of AI that is based around the idea that we should provide machines access to data and letting them learn for themselves. Artificial Intelligence has been around for quite a long time, the Greek myths have contains many stories of mechanical men designed to mimic human behavior.

Artificial Intelligence and Machine Learning are two commonly used technologies that companies use interchangeably. They are not the same thing but the perception that they look similar can often lead to confusion among these terms. Both these terms come up very frequently when the topic is Big data, analytics and when the broader waves of technological change that is sweeping the world. Artificial Intelligence is the broader concept of machines that are capable enough of carrying out tasks in a way that we consider as "Smart". Machine learning is the current application of AI that is based around the idea that we should provide machines access to data and letting them learn for themselves. Artificial Intelligence has been around for quite a long time, the Greek myths have contains many stories of mechanical men designed to mimic human behavior.

A "masterpiece" is how then-Deputy Defense Secretary Patrick Shanahan infamously described the Fiscal Year 2020 budget request. It would, he said, align defense spending with the U.S. National Defense Strategy -- both funding the future capabilities necessary to maintain an advantage over near-peer powers Russia and China, and maintaining readiness for ongoing counter-terror campaigns. While research and development funding increased in 2020, it did not represent the funding shift toward future capabilities that observers expected. Despite its massive size, the budget was insufficient to address the department's long-term challenges. Key emerging technologies identified by the department -- such as hypersonic weapons, artificial intelligence, quantum technologies, and directed-energy weapons -- still lacked a "clear and sustained commitment to investment." It was clear that the Department of Defense did not make the difficult tradeoffs necessary to fund long-term modernization.

A self-driving car has a split second to determine whether the image it sees is a person and whether that person has stepped on or off a curb. A mistake, of course, would have deadly consequences. Such is the increasingly challenging world of artificial intelligence and machine learning with demand for computers and robots that can instantly analyze images, reason and solve problems. One of the biggest challenges in AI is that computers simply can't do the computations fast and accurately enough, especially in regards to understanding fast-changing images. Washington State University researchers have recently developed a computer architecture that achieves similar accuracy as conventional graphical processing units (GPUs) but works more than 50 times faster.

The future of aspiration seems to be heading towards autonomous robots. Despite the fact that there are more and more comfortable, powerful and efficient hand vacuum cleaners, autonomous robots continue to be an attractive choice for most homes. Dyson, a benchmark in home appliances, has been one of the last to enter this segment and has now just presented its new robot vacuum cleaner in Europe: Dyson 360 Heurist. Unlike the previous model, the Dyson 360 Eye, the name of the new vacuum cleaner hints at its ability to learn. Every time you leave your base with the idea of vacuuming the surface, create a map that is being completed and redefined every day.