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Black roboticists on racism, bias, and building better AI

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Jasmine Lawrence works with the Everyday Robots project from Alphabet's X moonshot factory. She thinks there's a lot of unanswered ethical questions about how to use robots and how to think of them: Are they slaves or tools? Do they replace or complement people? As a product manager, she said, confronting some of those questions can be frightening, and it brings up the question of bias and the responsibility of the creator. Lawrence said she wants to be held accountable for the good and bad things she builds.


La Trobe University Uses AI to Bring Mental Health Care to Cancer Patients

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The Centre for Data Analytics and Cognition (CDAC) at Australia's La Trobe University worked with international cancer researchers to develop an artificial intelligence patient-reported information multidimensional framework to help detect and analyze a patient's mental health status while undergoing cancer treatment. The Centre for Data Analytics and Cognition (CDAC) at Australia's La Trobe University has teamed up with international cancer researchers to develop an artificial intelligence patient-reported information multidimensional framework (PRIME) to detect and analyze a patient's mental health status while undergoing cancer treatment. According to CDAC director and La Trobe University head of analytics discipline, Damminda Alahakoon, using PRIME can help understand a patient's behaviour, emotions, and decision-making based on data shared by the patient. He said the data can be text provided by a patient to an online chatbot, an online cancer support group, or other online support services. "PRIME addresses the challenges associated with understanding the unlabelled and unstructured nature of this data, allowing it to efficiently identify trends and anomalies -- such as when a patient is struggling emotionally -- and effectively adapt to the changing nature of that data," he said.


Circular Reasoning: Spiraling Circuits for More Efficient AI

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University of Tokyo create a new integrated three-dimensional circuit architecture for artificial intelligence applications with spiraling stacks of memory modules. Researchers at the University of Tokyo Institute of Industrial Science in Japan stacked resistive random-access memory modules for artificial intelligence (AI) applications in a novel three-dimensional spiral. The modules feature oxide semiconductor access transistors, which boost the efficiency of the machine learning training process. The team further enhanced energy efficiency via a system of binarized neural networks, which restricts the parameters to be either 1 or -1, rather than any number, to compress the volume of data to be stored. In having the device interpret a database of handwritten digits, the researchers learned that increasing the size of each circuit layer could improve algorithmic accuracy to approximately 90%.


AI Gahaku : A masterpiece from your photos.

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Enjoyed by 1 million people a day! AI Gahaku instantly generates a portrait from your photo. Various painting styles can be easily applied to it such as Renaissance, Pop Art, Expressionism and many more!


5G Will be Transformative for UAVs UAV Expert News

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The Association for Unmanned Vehicle Systems International (AUVSI), the world's largest nonprofit organization dedicated to the advancement of unmanned systems and robotics, has compiled a list of "wow-worthy" examples of the vision that the fifth generation of wireless technology (5G) is inspiring for the use of connected drones. It says that 5G can: bring data-throughput speeds of up to 10 gigabytes per second, enabling real-time sharing of aerial video and other sensor data; enable devices to stay connected while traveling hundreds of miles per hour, allowing for remote deployment of AI-enabled, ultra-responsive autonomous fleets; and it could support up to a million connected devices per square kilometer -- enough capacity to absorb an explosion in the Internet of Things alongside increasingly sophisticated mobile applications, on the ground and aloft. "5G is going to be transformative," says Tom Sawanobori, chief technology officer for CTIA (Cellular Telecommunications Industry Association). He cited a 2017 study by Accenture which estimated 5G would bring 3 million new jobs, $275 billion in new investment and a $500 billion boost to the U.S. gross domestic product. Active tech companies in the markets this week include FLIR Systems, Inc. (NASDAQ: FLIR), Plymouth Rock Technologies Inc. (CSE: PRT) (OTCQB: PLRTF), Verizon Communications Inc. (NYSE: VZ), Raytheon Technologies Corporation (NYSE: RTX), QUALCOMM Incorporated (NASDAQ: QCOM).


How Will Artificial Intelligence Change the World of Sports? - ReadWrite

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Today, the technological landscape is expanding by all leaps and bounds, and Artificial Intelligence (AI) remains in the thick of it. A technology that is one for the present and future, AI is playing a massive role in shaping businesses to the core. From healthcare and entertainment to commerce and sports, Artificial Intelligence is transforming every industrial vertical for good. Here is how artificial intelligence will change the world of sports. Speaking of the sports industry itself, the presence of AI today is to be seen in just about every major league around the world.


Listen to a fake Nirvana song created using artificial intelligence

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A YouTuber has used artificial intelligence to create a fake Nirvana song. The final result is a three-minute track called "Smother", which isโ€ฆ kind of a banger? User Funk Turkey is behind the creation, which follows his other AI tracks in the style of AC/DC (cleverly renamed AI/DC), Red Hot Chili Peppers (AKA Red Bot Chili Peppers), and Nickelback (or: Nickelbot). Discussing "Smother" in the track's description, Funk Turkey explains that he used lyrics.rip He added: "All music/vocals performed, mixed, and mastered by me, in my kitchen, on a sparkly red cheap Stratocaster, a crappy mic, and an old copy of ProTools."


Law barring disclosure of actors' ages violates 1st Amendment, appeals court rules

Los Angeles Times

A federal appeals court on Friday struck down a California law that barred internet sites from disclosing the ages of screen actors. The 2017 law, which the Screen Actors Guild had sought as a means to reduce age discrimination, violates the 1st Amendment, a three-judge panel of the U.S. 9th Circuit Court of Appeals decided unanimously. The law was challenged by the Internet Movie Database -- IMDb.com -- a free website that provides information about movies, television shows and video games and offers encyclopedic profiles of actors. In addition to its publicly available site, IMDb has a subscription-based service for the entertainment industry, known as IMDbPro, which the court described as "Hollywood's version of LinkedIn." Actors, writers, set designers, makeup artists and others create resumes by uploading head shots, prior jobs and biographical information to the site.


Considering Liabilities of Artificial Intelligence While Technology Adoption

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The advancement and adoption of artificial intelligence (AI) has surged in the last few years. Businesses across almost every industry are rushing to take advantage of capabilities AI offers, pouring massive capital towards it. The technology holds huge promises and expectations to drive efficiency and innovation throughout an organization. But when the adoption of this tech increases, their liabilities also emerge. Even programmers often do not aware of exactly how their AI will learn, adapt experiences, and how it comes at any decision.


Is the Future of Cyber Security in the Hands of Artificial Intelligence (AI)? -- 1

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Chinese philosophy, yin and yang represent how the seemingly opposite poles can complement each other and achieve harmony. In cybersecurity, this ancient philosophy perfectly represents the relationship between supervised and unsupervised machine learning. For example, monitored machine learning processes can be used for detection, while unsupervised machine learning uses clustering. In the case of cybersecurity and data security research and development, monitored machine learning is often implemented in the form of machine learning algorithms. It is not easy to describe Artificial Intelligence (AI). It has no clear definition.