Information Technology


'Smart' glasses could help track Parkinson's symptoms

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Two artificial intelligence companies are working on a pair of technology-imbued spectacles designed to track the severity of Parkinson's symptoms. UK start-up Emteq and Munich-based audEERING, both of which specialise in technology designed to track emotional responses, will collaborate on a device that will use facial tracking and vocal analysis to track "key physical indicators" of Parkinson's disease. Emteq designs sensor-laden wearable devices capable of tracking facial expression, which are interpreted by the company's AI platform to gauge emotional responses. AudEERING, meanwhile, is an audio analysis firm that uses machine intelligence and deep learning techniques to determine the emotional state of the speaker. The'smart' glasses will combine Emteq's hardware and emotion-tracking technology with an AI model developed by audEERING said to be capable of detecting vocal changes associated with Parkinson's Disease.


Top 10 Technology Stocks By Market Cap - Chinadeep

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Maoyan Entertainment, China's biggest online movie ticketing platform, is seeking to raise as much as US$345 million in a Hong Kong initial … By target, the hottest sectors were tech, entertainment and culture, e-commerce, … as regulators relaxed restrictions on M&A and IPO approvals. Tencent and Alibaba, China's biggest tech groups and two of the country's most acquisitive buyers, have stepped on the brakes after a … Let's start with Honor, a sub-brand of Chinese tech giant Huawei, … with super low-cost phones made by Chinese tech giant TCL under the … China's push for technology self-reliance faces reality check, says … The problem is that a large proportion of suppliers in China's technology industry are foreign based, often with headquarters in Taiwan, South … Tencent Holdings, the largest video game publisher in the world and owner of China's top messaging app WeChat, made 163 investments in … China has been scrambling to catch up to the U.S. cloud computing … intelligence research and so-called "smart cities," which generate a lot of … As the trade war between China and the United States rumbles on, its focus has shifted from deficits and surpluses towards more technological .. The Alibaba effect: Chinese e-tailer tightens grip over 600m lives … It is also a world leader in technologies like artificial intelligence. Artificial Intelligence Is Powerful--And Misunderstood. The potential applications for AI are extremely exciting. World's most valuable AI startup SenseTime unveils self-driving center … Xiaomi Corp. will invest at least 10 billion yuan ($1.5 billion) on artificial intelligenceand smart devices over the next five years, as the … According to the Chinese media, the joint venture between Riot and Tencent will be established in Shanghai.


AI Technology is Disrupting the Traditional Classroom. Here's a Progress Report.

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"You've got a perfect storm, really," says Rose Luckin, a professor at University College London who has studied AIEd for the past 20 years. "You can do things that you weren't able to do before." AIEd now helps investigate the steps students go through when learning subjects from calculus to chemistry, shining a light on what individual learners need to progress. To get there, an AI program is first trained on hundreds or thousands of students' work, gaining a knowledge base of the common areas that give learners trouble. Then over time, as an individual uses the system, the AI homes in on specifics to focus on, usually offering bespoke lessons to brush up on skills, and, in some cases, offer pep talks through bots.


How to implement an ethical framework in AI - Microsoft Industry Blogs - United Kingdom

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Pratim is Head of Solutions Architecture, where he runs a team focused on Data & AI for the Customer Success Unit. Prior to that he was at AWS, as a Specialist SA for Big Data & Analytics, where he advised customers on big data architecture, migration of big data workloads to the cloud, and implementing best practices and guidelines for analytics. Pratim is particularly interested in operational excellence for petabyte to exabyte scale operations, and design patterns covering "good" data architecture including governance, catalog, and lineage. He's also passionate about advanced analytics, planet scale NoSQL database like Cosmos DB, and using the right mix of technology, business, and pragmatism to ultimately make customers successful. AI is already showing its potential for good causes.


An AI system for editing music in videos – RtoZ.Org – Latest Technology News

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MIT researchers have developed a New Artificial Intelligence (AI) System named as " PixelPlayer" that can look at a video of a musical performance, and isolate the sounds of specific instruments and make them louder or softer. The system, which is "self-supervised," doesn't require any human annotations on what the instruments are or what they sound like.The researchers say that the ability to change the volume of individual instruments means that in the future, systems like this could potentially help engineers improve the audio quality of old concert footage. You could even imagine producers taking specific instrument parts and previewing what they would sound like with other instruments. The system first locates the image regions that produce sounds, and then separates the input sounds into a set of components that represent the sound from each pixel. PixelPlayer uses methods of "deep learning," meaning that it finds patterns in data using so-called "neural networks" that have been trained on existing videos.


Can artificial intelligence create art? – MIT Media Lab

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Click looks at whether AI could ever create an artistic masterpiece and visits Bangladesh to find out how technology is being used to help farmers there.


Implementing a ResNet model from scratch. – Towards Data Science

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When implementing the ResNet architecture in a deep learning project I was working on, it was a huge leap from the basic, simple convolutional neural networks I was used to. One prominent feature of ResNet is that it utilizes a micro-architecture within it's larger macroarchitecture: residual blocks! I decided to look into the model myself to gain a better understanding of it, as well as look into why it was so successful at ILSVRC. I implemented the exact same ResNet model class in Deep Learning for Computer Vision with Python by Dr. Adrian Rosebrock [1], which followed the ResNet model from the 2015 ResNet academic publication, Deep Residual Learning for Image Recognition by He et al. [2]. When ResNet was first introduced, it was revolutionary for proving a new solution to a huge problem for deep neural networks at the time: the vanishing gradient problem.


Fighting AI With AI: Army Seeks Autonomous Cyber Defenses Bloomberg Government

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The Army envisions acquiring technologies that use machine learning to autonomously detect and address software vulnerabilities and network misconfigurations – routine mistakes that could offer attackers an entry point onto its systems. Another reason organizations are turning to AI-powered cyber defenses: to counter the threat posed by intelligent cyber weapons. In February 2018, a group of more than two dozen researchers representing the Washington-based Center for a New American Security, the universities of Oxford and Cambridge, and nonprofit organizations including the Electronic Frontier Foundation and OpenAI, issued a groundbreaking report warning that AI technologies could amplify the destructive power available to nation-states and criminal enterprises. The report outlines dozens of ways attackers could use artificial intelligence to their advantage, from generating automated spear-phishing attacks capable of reliably fooling their human targets, to triggering ransomware attacks using voice or facial recognition, to designing malware that mimics normal user behavior to evade detection. Although there haven't yet been confirmed cases of AI-enabled cyberattacks, the researchers conclude that, "the pace of progress in AI suggests the likelihood of cyber attacks leveraging machine learning capabilities in the wild soon, if they have not done so already."


Automatic Creation of Machine Learning Algorithms for Autonomous Vehicles

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Alphabet's multi-billion dollar subsidiary Waymo plays a leading role in the modern autonomous driving industry, and the company's cutting-edge self-driving system has allowed it to maintain this high valuation on Wall Street. Is the core method that enables self-driving vehicles to visualize their surroundings, sense the world, predict behaviors, and calculate actions and movement etc. To make ML-based solutions available for a wider variety of deployment scenarios, Waymo's autonomous driving team has collaborated with Google AI Brain Team researchers on a system that automates the creation of high quality and low latency neural networks on existing AutoML architectures. Building on its previous research with Neural Architecture Search (NAS), the team used NAS cells to automatically build new machine learning models for tasks specific to self-driving, and transferred CIFAR-10 model learning results directly to the system. The team then set up an automatic search algorithm to enable different NAS cell combinations with convolutional neural networks (CNN) for training and evaluating of suitable models for LiDAR point identification segmentation tasks.


Sr. Acoustic Modeling and Machine Learning Engineer - NeoSensory Jobs on AngelList

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Tensor Flow, Theano, Torch, Kaldi, etc.) - 3 years experience in commercial R&D experience relating to acoustic/speech modeling and/or audio DSP - 2 years graduate-level academic research experience in acoustic/speech modeling and/or audio DSP Suggested experience: - Statistical and Audio Digital Signal Processing (Linear Systems) - Mathematical optimization (designing cost functions, adversarial/perceptual methods to improve audio quality, etc.) - Familiarity with hardware/embedded systems- - Linguistics and speech modeling Neosensory provides a competitive compensation package, stock options, benefits, and a fun work environment. We're located within a 5 min walk from the California Ave Caltrain station in a nice area of Palo Alto. We are also about to launch a second office in Houston, Texas. Team Neosensory is made of an awesome group of intellectual individuals who value hard work and enjoy sharing a diverse set of hobbies.