China's history of censoring the internet and using propaganda to give its citizens a false sense of reality is well documented. And now, Chinese regulators have announced new rules that will allow them to further dictate what citizens perceive as reality. From January 1, 2020, publishing and distributing what the regulators deem to be "fake news" created with artificial intelligence (AI), deep learning, or virtual reality (VR) will be banned. The Cyberspace Administration of China (CAC) added that content produced with AI, deep learning, or VR will need to be clearly labeled when these new rules come into effect. Failure to label such content under the new rules could be a criminal offense.

The Cyberspace Administration of China (CAC) announced on Friday that it is making it illegal for fake news to be created with deepfake video and audio, according to Reuters. "Deepfakes" are video or audio content that have been manipulated using AI to make it look like someone said or did something they have never done. In its statement, the CAC said "With the adoption of new technologies, such as deepfake, in online video and audio industries, there have been risks in using such content to disrupt social order and violate people's interests, creating political risks and bringing a negative impact to national security and social stability," according to the South China Morning Post reporting on the new regulations. The CAC's regulations, which go into effect on January 1, 2020, require publishers of deepfake content to disclose that a piece of content is, indeed, a deepfake. It also requires content providers to detect deepfake content themselves, according to the South China Morning Post.

China's state-run Global Times described the plan as a fusion of two powerful recent technologies that could insulate help to insulate Huawei from U.S. sanctions by making the Chinese company less dependent on chips from Western providers:

If you're looking for an exciting new career that offers tremendous growth opportunity, look no further than the data science industry. Today, organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. Daily, they sift through large data sets, extract what matters, and provide businesses with clear, easy-to-understand insights. With the advancement of machine learning, AI, predictive analytics, data science is becoming a more popular career choice.

Artificial intelligence is everywhere but it is considered in a wholly ahistorical way. To understand the impact AI will have on our lives, it is vital to appreciate the context in which the field was established. After all, statistics and state control have evolved hand in hand for hundreds of years. Its origins have been traced not only to analytic philosophy, pure mathematics and Alan Turing, but perhaps surprisingly, to the history of public administration. In "The Government Machine: A Revolutionary History of the Computer" from 2003, Jon Agar of University College London charts the development of the British civil service as it ballooned from 16,000 employees in 1797 to 460,000 by 1999.

Given the proliferation of high-profile attacks in 2019, the security outlook for next year--and the next decade--is filled with potential pitfalls, as challenges persist in maintaining the security profile in enterprises, particularly as security operations teams are spread thinner as attack surfaces widen. SEE: Special report: The cloud v. data center decision (free PDF) (TechRepublic) McAfee CTO Steve Grobman and Director of Engineering Liz Maida--who joined the company through their acquisition of Uplevel Security, a firm that applied graph theory and machine learning to security data--spoke to TechRepublic about the security forecast for 2020. In contrast to spray-and-pray attacks, relying on port scanning to uncover low-hanging vulnerabilities, an increase in attacks targeting specific industries are anticipated to continue their rise in popularity. "We've seen a good number of ransomware campaigns where the adversaries have done reconnaissance to really understand the critical assets [and] the defenses, and then tailor the attack in order to get into that environment, to demand a higher payment from the victim," Grobman said. "That really requires a much more sophisticated level of defense for the defenders. The other point that I'd make is...we see the evolution of attacks from just focusing on traditional compute environments, to also focusing on cloud environments. Given that many organizations are shifting key components of their operations into the cloud, it would be natural that adversaries are looking for ways to not only target traditional environments, but also cloud assets," Grobman said.

NEW DELHI – Japan and India agreed Saturday to conduct their first joint fighter aircraft exercise in Japan as part of efforts to promote bilateral security cooperation in the face of China's military buildup and regional assertiveness. In inaugural "two-plus-two" security talks, the nations' foreign and defense ministers also welcomed the significant progress in negotiations for a pact that would allow the sharing of defense capabilities and supplies including fuel and ammunition. They called for a speedy conclusion to the acquisition and cross-servicing agreement (ACSA), according to a joint statement issued after the talks in New Delhi. The two governments are planning to sign the deal when Prime Minister Shinzo Abe visits India for talks with Prime Minister Narendra Modi in mid-December, according to Japanese officials. Tokyo and New Delhi aim to have a joint exercise involving fighter jets from the Air Self-Defense Force and the Indian Air Force next year, the officials said.

We all must have heard the word "Artificial Intelligence" somewhere before in this rapidly growing technological world. So, according to computer science, artificial intelligence is sometimes called machine intelligence established by different machines, in contrast to the natural intelligence displayed by humans' skill set. According to NASA scientists, the machines are becoming capable of doing any sort of work and humans are becoming lazy at the same time. Artificial Intelligence was first introduced back in 1956 by the scientists of America and since then, AI has experienced several changes from having thought of not doing anything to have thought of doing anything. The solar storm is the next thing on which NASA scientists are working with the help of Artificial Intelligence. It is a flash of increased brightness on the sun, observed near the Earth's surface due to which the layer ozone is depleting.

Construction worker Delmer Joel Ramirez Palma was deported Friday, the US Immigration and Customs Enforcement agency confirmed. Ramirez survived the partial collapse of the New Orleans Hard Rock hotel in October. He had also been cooperating with a federal safety investigation into the incident.

As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies. "We are now seeing a particular emphasis on the humanities and how they interact with AI," said Russ Altman, Stanford professor of engineering and the faculty director of the AI100. The AI100 is project of the Stanford Institute for Human-Centered Artificial Intelligence. After the first meeting of the AI100, the group planned to reconvene every five years to discuss the status of the AI industry. The idea was that reports from those meetings would capture the excitement and concerns regarding AI technologies at that time, make predictions for the next century and serve as a resource for policymakers and industry stakeholders shaping the future of AI in society.