Once quantum computers become functional, experts warn, they could perform calculations exponentially faster than classical computers--potentially enabling them to destroy the encryption that currently protects our data, from online banking records to personal documents on hard drives. That's why the National Institute of Standards and Technology is already pushing researchers to look ahead to this "postquantum" era. Most recently, IBM successfully demonstrated a quantum-proof encryption method it developed. To send secure messages online or encrypt the files on a computer, most modern systems employ asymmetric, or public-key, cryptography. With this technique, data are encoded with a so-called public key, which is accessible to all; decoding that information requires a private key that only one party knows.

O LIVE, is focusing on the innovative potential of Artificial Intelligence (AI) to impact everyday lives in the MENA region. At GITEX 2019, BIGO will be demonstrating its use of AI-enabled processes across applications such as its facial detection and recognition system as well as its content management system to ensure high levels of quality content served to its millions of users across the region. AI is one of the mega-trends at GITEX 2019, the region's leading technology event. Under the theme, 'Synergising the mind and technology economy', the 2019 edition of the technology showcase will spotlight the wide impact of AI across every sphere, calling it'the brain at the core of all emerging technology'. Offering a suite of entertaining and interactive video applications that are popular across the MENA region, BIGO has built AI into core areas of its technology portfolio.

Deepfakes have been known to make politicians appear to do and say unusual things. While some deepfakes are silly and fun, others are misleading and even abusive. Two new California laws aim to put a stop to these more nefarious video forgeries. California Gov. Gavin Newsom on Thursday signed AB 730, which makes it illegal to distribute manipulated videos that aim to discredit a political candidate and deceive voters within 60 days of an election. He also signed AB 602, which gives Californians the right to sue someone who creates deepfakes that place them in pornographic material without consent.

In the 1920s, the Soviet scientist Ilya Ivanovich Ivanov used artificial insemination to breed a'humanzee' – a cross between a human and our closest relative species, the chimpanzee. Given the moral quandaries a humanzee might create, we can be thankful that Ivanov failed: when the winds of Soviet scientific preferences changed, he was arrested and exiled. But Ivanov's endeavour points to the persistent, post-Darwinian fear and fascination with the question of whether humans are a creature apart, above all other life, or whether we're just one more animal in a mad scientist's menagerie. Humans have searched and repeatedly failed to rescue ourselves from this disquieting commonality. Numerous dividers between humans and beasts have been proposed: thought and language, tools and rules, culture, imitation, empathy, morality, hate, even a grasp of'folk' physics. But they've all failed, in one way or another. I'd like to put forward a new contender – strangely, the very same tendency that elicits the most dread and excitement among political and economic commentators today.

Many complicated diseases make up cancer. The American Society of Clinical Oncology's Cancer.Net provides "individualized guides for more than 120 types of cancer and related hereditary syndromes." Selecting the right cancer treatment for an individual patient gets even more complex when considering the various diagnostic tests, the wide range of medicines and treatments, and different treatment regimens. With so much information to consider and analyze, artificial intelligence (AI) might be, well, just what the doctor ordered. Although AI might enhance oncology in many ways, here we will examine using these computational tools to make better decisions about an individual patient's treatment.

The Machine Learning Department of the School of Computer Science at Carnegie Mellon University occupies a privileged position in the world of machine learning, in part as the world's only academic Machine Learning Department. The Department has close relationships through shared faculty and active collaboration across the university, especially the Statistics Department and other academic units in the School of Computer Science (Computer Science Department, Language Technologies Institute, Computational Biology Department, and the Robotics Institute). We seek applicants who will thrive in this interdisciplinary setting.

Founded in 1990, the Martin Luther King Jr. (MLK) Visiting Professors and Scholars Program honors the life and legacy of Martin Luther King by increasing the presence of, and recognizing the contributions of, underrepresented minority scholars at MIT. MLK Visiting Professors and Scholars enhance their scholarship through intellectual engagement with the MIT community and enrich the cultural, academic, and professional experience of students. Six scholars are visiting MIT this academic year as part of the program. Kasso Okoudjou is returning for a second year as an MLK Visiting Professor in the Department of Mathematics. Originally from Benin, he moved to the United States in 1998 and earned a PhD in mathematics from Georgia Tech. Okoudjou joins MIT from the University of Maryland College Park, where he is a professor.

San Jose, California, Oct. 08, 2019 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE -- Sonasoft Corp. (OTCQB: SSFT), a leader in innovative artificial intelligence (AI) and data management solutions, today announced that it has completed the acquisition of OPtimAIze, Inc., an Artificial Intelligence software company that focuses on AI solutions for software product engineering teams. Sonasoft now has the solution to establish itself as a leading provider of AI for software product development. According to the analysts at Statista the enterprise software market alone had a global market size of over $457 billion in 2019. IDC also forecasted that worldwide spending on artificial intelligence (AI) will reach $776 billion by 2022. Sonasoft is well-positioned to gain significant market share in a large existing market that is poised to accelerate with an anticipated adoption of AI.

Earlier this year, President Trump signed an executive order for the "American AI Initiative," to guide AI developments and investments in the following areas: research and development, ethical standards, automation, and international outreach. This initiative is indicative of the changing times, and how, as a country, the U.S. is learning to navigate the implications of AI. Leaders in the business world, specifically, are faced with the responsibility of equipping our employees with the skills necessary for paving long-lasting career paths, and the workforce must discover what will be expected as technology continues to disrupt the norm, and work as we know it. As a global business leader, an AI optimist, and a father, I find myself asking: What will make a career sustainable in 2020 and beyond? Will the future of education rise to meet the demands of the future of work?

SingularityNET, a startup that bills itself as a "decentralized artificial intelligence" company, said today it's working with networking giant Cisco Systems Inc. on an ambitious project to create more advanced AI technologies that will soon be able to surpass humans in their ability to learn and perform new tasks. The partnership is a strong validation of SingularityNET's technologies, which include a blockchain-based, decentralized marketplace for AI algorithms, and various deep neural net models for computer vision and language understanding. Its biggest project, however, is a customized version of the OpenCog Advanced General Intelligence engine, an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to "human-equivalent AGI." AGI is an emerging new field within AI, or some might even say a more superior form of it. Traditional AI generally refers to the ability of a machine to imitate human cognition, such as learning and problem-solving. But most AI models remain quite primitive, specialized on training machines at a single task, whether that's image recognition, playing chess or studying medical data.