Transport Minister Rachel Maclean said: "The UK is well-placed as a science superpower to lead the world in this area and I'm delighted to support projects that drive green innovation, promote a clean transport future and help the economy." William Sachiti, founder of Academy of Robotics, claimed: "Kar-go's first deliveries represent a key milestone for the wider automotive industry." The firm says the Kar-go system is "optimised to autonomously drive on un-marked roads making the vehicle perfect for solving the challenge of last mile deliveries in residential areas as well as urban environments". DON'T MISS: Driverless cars come with legal risks as'it remains to be seen' who to blame for crashes [INSIGHT] Microsoft Teams will stop working for millions of users this month - are you affected?

Microsoft and the US Department of Energy grabbed headlines by announcing a partnership to develop AI-powered applications to help first responders reacting to natural disasters. One of the first AI prototypes in development will employ computer vision to detect and predict the frontiers of active wildfires and floods. The second application uses an AI tool that should be in every risk manager's toolbox: simulation. This simulator will aid teams in running mock scenarios to better plan and prepare for the next big natural disaster. Many companies were caught flat-footed by COVID-19, perhaps the largest disruption to global trade in a hundred years.

"Given the large swathes of data we currently have access to, there are potential solutions to many deep-seated issues, including corruption," says Professor Tshilidzi Marwala,the UJ's Vice-Chancellor and Principal. In an extreme case, Zero Trust, an anti-corruption AI system in China, has been used to monitor and evaluate the lifestyles of government officials. It has access to more than 150 protected databases in central and local governments and, since 2012, has uncovered 8,721 government employees engaged in embezzlement, abuse of power, misuse of government resources and nepotism. Zero Trust has come under fire for not explaining the process behind identifying corrupt individuals. And it still heavily relies on humans, which could make much of its work invalid if these people are also unscrupulous.

In Computer Vision, specifically, Image processing has become more efficient with the use of deep learning algorithms. To show the performance of these neural networks some basic preprocessed datasets were built, namely the MNIST and its variants such as KMNIST, QKMNIST, EMNIST, binarized MNIST and 3D MNIST. Ever since these datasets were built, it has been popular amongst beginners and researchers. In today's article, we'll be talking about the very basic and primarily the most curated datasets used for deep learning in computer vision. MNIST(Modified National Institute of Standards and Technology) database contains handwritten digits.

October is quite the busy month. Not only is it the start of the fourth quarter and the third-quarter earnings season, but October is also Cybersecurity Awareness Month. So, today I'd like to raise some awareness on a new type of cybersecurity breach. During the coronavirus pandemic, cybercrime has risen by over 600%, and now the malicious hackers are becoming more creative by using artificial intelligence (AI) and machine learning (ML) to evade detection. For example, with AI, hackers are now using data poisoning to target data used to train the machine learning systems.

In the age of artificial intelligence, robots will soon represent a large part of the armed forces, according to the UK's chief of the defence staff Nick Carter, who predicted that up to a quarter of the army could be made up of autonomous systems in the near future. Speaking on Sky News for Remembrance Day, the general speculated that as cyber and space join the more traditional army domains of land, air, and maritime, so will AI systems become an integral part of the armed forces' modernization effort. Carter warned that decisions haven't been taken yet, and insisted that his predictions were not based on firm targets. He nevertheless shared his visions for an armed force that is "designed for the 2030s". SEE: An IT pro's guide to robotic process automation (free PDF) (TechRepublic) "You'll see armed forces that are designed to do (cyber and space). And I think it absolutely means we'll have all manner of different people employed because those domains require different skill sets, and we will absolutely avail ourselves with autonomous platforms and robotics wherever we can," said Carter.

As cyber security becomes even more crucial amidst Covid19 pandemic, artificial intelligence and machine learning backed solutions are helping several insurance companies tackle these threats, an EY report said. In a recent case, EY had helped an insurance company tackle the cybersecurity threat and this could be replicated throughout the industry. An Indian insurance company was looking to augment its internal security to protect its data, systems, and infrastructure from potential cyber security threats. In addition, the company determined that it needed a 24 7 security log monitoring system that could operate 365 days a year along with the capability to conduct analytics, threat profiling, correlation and alerting, EY report said. The company is now not only able to prevent active threats, but also conduct analysis on potential vulnerabilities.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Los Angeles County Board of Supervisors on Tuesday voted on a motion to explore options for removing Sheriff Alex Villanueva, including an amendment to the state's Constitution. The 3-2 vote directs county officials to examine ways in which they could impeach Villanueva from his position, or, at least, scale back his responsibilities. One of those options proposed would amend California's Constitution to make county sheriffs be appointed, rather than elected.

EY had helped an insurance company tackle the cybersecurity threat and this could be replicated throughout the industry.

Australia Post is using machine learning to calculate the arrival time of parcels down to a two-hour window based on data from a new route planner that has just been rolled out to delivery drivers. Executive general manager for transformation and enablement John Cox on Tuesday said the new feature is currently being trialled to give customers a more accurate estimate on delivery times. "What we're trialling – and this is not out in the public yet – is what we call an estimated time of arrival," Cox told the Digital Transformation Agency's 2020 Digital Summit. "So based off when the postie scans the parcel in the morning to put in their van, we'll be able to notify the consumer that it will be delivered within that window of time." The estimate is calculated using the "single scanning platform" that all deliver drivers use to scan their parcels before their run, which also determines the "optimal" route for each delivery run.