There are many reasons why you should learn Python. Python is one of the most widely used programming languages for Data Science & Machine Learning. Python is one of the most frequently used programming languages for Data Science & Machine Learning. Python is cross-platform and free. Python offers a variety of programming paradigms, as well as object-oriented and functional programming.
An innovative artificial intelligence (AI) tool developed by NASA has helped identify a cluster of craters on Mars that formed within the last decade.The new machine-learning algorithm, an automated fresh impact crater classifier, was created by researchers at NASA's Jet Propulsion Laboratory (JPL) in California -- and represents the first time artificial intelligence has been used to identify previously unknown craters on the Red Planet, according to a statement from NASA. Scientists have fed the algorithm more than 112,000 images taken by the Context Camera on NASA's Mars Reconnaissance Orbiter (MRO). The program is designed to scan the photos for changes to Martian surface features that are indicative of new craters. In the case of the algorithm's first batch of finds, scientists think these craters formed from a meteor impact between March 2010 and May 2012. Related: Latest photos from NASA's Mars Reconnaissance Orbiter"AI can't do the kind of skilled analysis a scientist can," Kiri Wagstaff, JPL computer scientist, said in the statement.
An innovative artificial intelligence (AI) tool developed by NASA has helped identify a cluster of craters on Mars that formed within the last decade. The new machine-learning algorithm, an automated fresh impact crater classifier, was created by researchers at NASA's Jet Propulsion Laboratory (JPL) in California -- and represents the first time artificial intelligence has been used to identify previously unknown craters on the Red Planet, according to a statement from NASA. Scientists have fed the algorithm more than 112,000 images taken by the Context Camera on NASA's Mars Reconnaissance Orbiter (MRO). The program is designed to scan the photos for changes to Martian surface features that are indicative of new craters. In the case of the algorithm's first batch of finds, scientists think these craters formed from a meteor impact between March 2010 and May 2012.
On Sept. 9, during the DOD's semi-annual Artificial Intelligence Symposium and Exposition, Secretary of Defense Mark Esper affirmed that the Joint Artificial Intelligence Center (JAIC) in partnership with the Naval Postgraduate School (NPS) and Defense Acquisition University will collaboratively develop an intensive six-week pilot course delivered to more than 80 defense acquisition professionals of all ranks and grades. "These trainees will learn how to apply AI and data science skills to our operations," Esper said in his remarks. "With the support of Congress, the Department plans to request additional funding for the services to grow this effort over time and deliver an AI-ready workforce to the American people." Just as the university's highly-regarded Harnessing Artificial Intelligence video course paved the way for its support of the pilot course, NPS is well positioned to support Esper's declaration for further workforce development through its existing Data Science Certificate, and an upcoming similar certificate program in Artificial Intelligence. In the ongoing effort to expand the Navy's knowledge and expertise in the fields of data science and artificial intelligence, NPS faculty have developed courses that enable students to quickly gain insights in these critical disciplines.
Anyone worried about the threat of a Skynet-esque rise of the machines may be able to rest a little easier after the release of new protective measures designed to avoid a potential AI uprising. The nonprofit MITRE Corporation has teamed up with 12 top technology companies, including the likes of Microsoft, IBM and Nvidia to launch the Adversarial ML Threat Matrix. The group says the system is an open framework created to help security analysts spot, alert, respond to and address threats targeting machine learning (ML) systems. Microsoft says the release was motivated by a continuing growth in the number of attacks against commercial ML sytems around the world. The company surveyed a selection of 28 major businesses, finding that almost all are still unaware of the threat that adversarial machine learning can pose, with twenty-five out of the 28 saying that they don't have the right tools in place to secure their ML systems.
The defence industry technologies such as artificial intelligence (AI) and robotics are changing the industry and enable intelligent warfare in the decades to come. These emerging technologies will have a significant impact on defence contractors. Integrating AI into the design of traditional battle networks will immensely improve the performance of current platforms and forces soon. Prime contractors will maintain an advantage during this phase. However, as robotics and AI's capabilities arrive at an inflection point, the U.S Department of Defence will switch to smaller AI-and robotics-based systems.
Sundar Pichai, chief executive of Alphabet, Google's parent company, is a mild-mannered software engineer who is not good at games of verbal fisticuffs with US politicians. He received a drubbing last month during the "big tech" congressional hearing. Pichai can, however, summon lawyers and lobbyists galore as soon as the game gets more serious, which it definitely has. The US Department of Justice (DoJ) last week launched a huge and historic antitrust case against Google, accusing the tech company of abusing its position to maintain an illegal monopoly over internet searches and search advertising. In response, Kent Walker, Google's chief lawyer, published an indignant blogpost that signalled how the firm will fight this.
Japanese startups are getting ready to deploy a small army of remote-controlled robots in the workplace. Called avatar robots, the machines are still experimental and their initial objectives limited. But if everything goes as planned, they could soon be clerking at convenience stores, patrolling buildings as security guards, or even assisting astronauts in outer space. The technology has the potential to replace humans, helping solve labor shortages and providing relief to essential workers combating natural disasters. Convenience stores in Tokyo have already put prototypes of the robots to work stocking shelves with beverages, instant noodles and other goods.
Sinai School of Medicine, Stanford University and the Northern California Institute for Research and Education, IBM Research is undertaking a new research initiative funded by the National Institutes of Health. As part of a broader $99 million, 5-year research initiative spanning multiple public and private organizations and research institutions, this work will tap into AI and big data to help better identify individuals at high-risk of developing schizophrenia, a serious mental illness affecting how a person thinks, feels and behaves. Schizophrenia is often characterized by alterations to a person's thoughts, feelings and behaviors, which can include a loss of contact with reality known as psychosis. A better understanding of how this disease could be detected prior to psychosis could help to postpone or even prevent the transition to psychosis, as well as possibly improve outcomes. The project is a component of the Accelerating Medicines Partnership (AMP), a collaboration between the National Institutes of Health (NIH), the U.S. Food and Drug Administration (FDA), pharmaceutical companies, biotech firms and nonprofit organizations.