Lockheed Martin has revealed plans to set up a'Mars base camp' orbiting the red planet - and says it hopes to launch it within ten years. Using NASA's Orion spacecraft as the command deck, the orbiting outpost could give astronauts the ability to operate rovers and drones on the surface in real time, helping us better understand the Red Planet and plan for manned missions. 'The time is now,' Lockheed Martin said in a video revealing the project at the International Astronautical Congress (IAC) in Adelaide, Australia, where it also showed off a lander that could eventually take astronauts form the station to the red planet's surface. Using NASA's Orion spacecraft as the command deck, the orbiting outpost could give scientists the ability to operate rovers and drones on the surface in real time, helping us better understand the Red Planet and work out where manned missions doulc land'Sending humans to Mars has always been a part of science fiction, but today we have the capability to make it a reality,' said Lisa Callahan, vice president and general manager of Commercial Civil Space at Lockheed Martin. 'We're proud to have Orion powered-on and completing testing in preparation for its Exploration Mission-1 flight and eventually its journey to Mars.' Mars Base Camp is aligned with NASA's recently-announced lunar Deep Space Gateway approach for developing and testing systems, including Orion, in lunar space before using them to go to Mars.

The Federal Aviation Authority passed an order restricting the unauthorized use of drones over the Statue of Liberty and other such landmarks, adding to the existing list of no-fly zones for drones in the United States. "At the request of U.S. national security and law enforcement agencies, the Federal Aviation Administration (FAA) is using its existing authority under Title 14 of the Code of Federal Regulations (14 CFR) § 99.7 – "Special Security Instructions" – to address concerns about unauthorized drone operations over 10 Department of the Interior (DOI) sites, including the Statue of Liberty and Mount Rushmore," FAA said in its press release Thursday. The restrictions go into effect next Thursday. To ensure the general public is aware of these restrictions, FAA has issued an interactive online map that is available on both its website and its B4UFLY app. According to the press release, violation of the restrictions could result in civil penalties and even criminal charges.

The US's military leaders have agreed on a strategy to guarantee the US military retains its global dominance during the twenty-first century: Connect everything with everything, as DefenseOne describes it. An unimaginably large cephapoloidal nervous system armed with the world's most advanced weaponry, and in control of all military equipment belonging to the world's most powerful army. A networked military – an extreme take on the "internet of things" - would connect everything from F-35 jets to the Navy's destroyers to the armor of the tanks crawling over the land to the devices carried by soldiers – every weapon would be connected. Every weapon, vehicle, and device connected, sharing data, constantly aware of the presence and state of every other node in a truly global network. Of course, the development of these "smart" weapons should unnerve Tesla CEO Elon Musk, who has repeatedly warned that AI and machine learning poses a greater threat to the future of the US than North Korea.

The US government's mighty DARPA last year kicked off a research project designed to make systems controlled by artificial intelligence more accountable to their human users. The Defense Advanced Research Projects Agency, to give this $2.97bn agency its full name, is the Department of Defense's body responsible for emerging technology for use by the US armed forces. Significantly, it was DARPA's early funding of packet-switching network the Advanced Research Projects Agency Network (ARPANET) more than 40 years ago that helped bring about the internet. The field of AI has made great strides in the last several years, thanks to developments in machine learning algorithms and deep learning systems based on artificial neural networks (ANNs).

This is one of four articles about companies' usage of artificial intelligence and other types of intelligent automation. Artificial intelligence will reduce risk, increase value, and help drive a cost-effective approach to tax reporting. Companies that are bold enough to embrace artificial intelligence will gain a big competitive advantage. Simplicity is the value proposition that should be expected from the implementation of modern technology solutions. Lee Coulter arrived at a point when he recognized within himself a chronic "near-medical-level" case of frustration.

The next major cyberattack could involve artificial intelligence systems. At a recent cybersecurity conference, 62 industry professionals, out of the 100 questioned, said they thought the first AI-enhanced cyberattack could come in the next 12 months. This doesn't mean robots will be marching down Main Street. Rather, artificial intelligence will make existing cyberattack efforts – things like identity theft, denial-of-service attacks and password cracking – more powerful and more efficient. This is dangerous enough – this type of hacking can steal money, cause emotional harm and even injure or kill people.

The US government's mighty DARPA last year kicked off a research project designed to make systems controlled by artificial intelligence more accountable to their human users. The Defense Advanced Research Projects Agency, to use this $2.97bn agency its full name, is the Department of Defense's body responsible for emerging technology for use by the US armed forces. Significantly, it was DARPA's early funding of packet-switching network the Advanced Research Projects Agency Network (ARPANET) more than 40 years ago that helped bring about the internet. Coming bang up to date, the issue at the heart of the Explainable Artificial Intelligence (XAI) programme is that AI is starting to extend into many areas of everyday life yet the internal workings of such systems are often opaque, and could be concealing flaws in their decision-making processes. The field of AI has made great strides in the last several years, thanks to developments in machine learning algorithms and deep learning systems based on artificial neural networks (ANNs).

Maximizing the potential of disruptive technologies like artificial intelligence will require the right regulations and transparency on data usage, experts suggested at a forum in Singapore on Saturday. In a session of the Singapore Summit titled "Fostering inclusive growth: redefining policies and harnessing technological advancements to address societal challenges," the panelists were challenged with questions from the audience on how AI can be used for the good of society, as opposed to creating mass joblessness. Joseph Tsai, executive vice chairman of Chinese e-commerce giant Alibaba Group, said companies and their management teams "need to establish trust with the people who entrust them with data." Tsai gave an example of sharing encrypted data with a rural cooperative to develop a lending model that manages credit risk, giving farmers access to the financial market. Meanwhile, Antoine Blondeau, co-founder and co-chairman of AI company Sentient Technologies, said that while there is merit to the notion that AI will take jobs away from people, it will not happen overnight.

The General Data Protection Regulation (GDPR) is a wide-ranging and complex regulation intended to strengthen and unify data protection for all individuals within the European Union (EU). A year ago I blogged about the data governance ramifications of GDPR, and in this blog I'll focus on another facet of GDPR to talk about a related analytics topic: explainable artificial intelligence (AI). First, let's start with GDPR. Article 22 of GDPR, "Automated individual decision-making, including profiling," concerns the use of data in decision-making that affects individuals, such as a person applying for a loan. The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her." Point 2 of Article 22 describes exclusions (including situations involving the person's explicit consent, such as applying for a loan), but the key issue for our discussion here is in point 3: "…the data controller shall implement suitable measures to safeguard the data subject's rights and freedoms and legitimate interests, at least the right to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision."

In this article, I've listed down the essential resources to master the basic and advanced version of data science using: Global Machine Learning Certifications – This list highlights the widely recognized & renowned certifications in machine learning which can add significant weight to your candidature, thereby increasing your chances to grab a data scientist job. This certification offers multiple courses such as algorithms for data science, probability and statistics, machine learning for data science, exploratory data analysis. It teaches aspiring data science candidates to learn data mining, machine learning, big data and data science projects and work with non-profits, federal agencies and local governments and make a social impact. It teaches real world, practical skills to become a data scientist / data engineer.