Comprehensive TensorFlow.js Example

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First I will walk you through the app functionality and then will dive into implementation details. This app implements a business report execution time prediction use case (this time in JavaScript), which was explained in my previous post -- Report Time Execution Prediction with Keras and TensorFlow. For the model training, I'm using 50 epochs (data is processed in batches of 10) and the learning rate is set to 0.001. Neural Network is based on two processing layers and one output layer. Model is trained to forecast the expected wait time for business report execution.


r/MachineLearning - [Discussion] Google patent "GENERATING AUDIO USING NEURAL NETWORKS"

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This specification describes how a system implemented as computer programs on one or more computers in one or more locations can generate a sequence of audio data that includes a respective audio sample at each of multiple time steps . For example, the sequence of audio data can represent speech in a particular natural language or a piece of music.


Ahead of 2020, Beware the Deepfake

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"We are crossing over into an era where we have to be skeptical of what we see on video," says John Villasenor, a senior fellow at the Brookings Institution. Villasenor is talking about deepfakes--videos that are digitally manipulated in imperceptible ways, often using a machine-learning technique that superimposes existing images or audio onto source material. The technology's verisimilitude is alarming, Villasenor argues, because it undermines our perception of truth and could have disastrous consequences for the upcoming U.S. presidential election. "I do think deepfakes are going to be a feature of the 2020 elections in some way," Villasenor says. "And their shadow will be long."


13 Smart Areas AI Can Be Used For In Almost Any Business

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Artificial intelligence (AI) is a buzzword that most business owners have already heard of, even if they haven't researched the technology deeply. AI has the potential to change the face of business in fundamental ways. Because of its innate flexibility, AI presents a wide range of potential applications that almost any business can leverage to make itself more efficient. There are already companies that have started using AI to make their processes more productive and reduce their costs for both material sourcing and labor. Thirteen experts from Forbes Technology Council take a look at how the smartest business owners of today are employing AI and how it helps those businesses succeed at what they do.


Maria Bartiromo talks artificial intelligence, the dot-com crash and why she'll never retire

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Maria Bartiromo has been covering business news for 30 years, and she's got her eye on the next big wave: artificial intelligence. The Fox Business Network anchor, who recently re-signed with the network for a multiyear deal, is releasing an hour-long investigative documentary about artificial intelligence. The segment, which has been in the works for a year now, includes interviews with chief executive officers of major companies including IBM IBM, -0.76% and Ford. Fox News parent company Fox Corp FOXA, 0.72% was previously owned by MarketWatch parent News Corp NWS, -0.21%. Artificial intelligence isn't just making demands to Siri on Apple's iPhones, AAPL, -1.46% or telling your Google GOOG, -0.71% email inbox to identify spam.


'Nerd,' 'Nonsmoker,' 'Wrongdoer': How Might A.I. Label You?

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Facial recognition and other A.I. technologies learn their skills by analyzing vast amounts of digital data. Drawn from old websites and academic projects, this data often contains subtle biases and other flaws that have gone unnoticed for years. ImageNet Roulette, designed by the American artist Trevor Paglen and a Microsoft researcher named Kate Crawford, aims to show the depth of this problem. "We want to show how layers of bias and racism and misogyny move from one system to the next," Mr. Paglen said in a phone interview from Paris. "The point is to let people see the work that is being done behind the scenes, to see how we are being processed and categorized all the time."


Oracle Unveils AI-Voice for the Enterprise

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Oracle announced availability of its AI-trained voice with Oracle Digital Assistant. Now, enterprise customers can use voice commands to communicate with their enterprise applications to drive desired actions and outcomes, enriching the user experience with conversational AI, simplifying interactions and improving productivity. "Enterprises are demanding an AI-powered voice assistant that understands their specific vocabulary and enables naturally expressive interactions for its users," said Suhas Uliyar, vice president, AI and Digital Assistant, Oracle. "Most of all though, enterprises value a highly secure AI-powered voice assistant that stores their business' sensitive data in Oracle's second generation cloud infrastructure." Built on Oracle's next-generation infrastructure, Oracle Digital Assistant applies AI with deep semantic parsing for natural language processing (NLP), natural language understanding (NLU) and custom machine learning (ML) algorithms.


Santen Pharmaceutical Establishes a Safety Database With ArisGlobal's LifeSphere MultiVigilance Multi-tenant Drug Safety Suite to Improve and Streamline Pharmacovigilance at a Global Scale

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Santen Pharmaceutical Co., Ltd., the leader in ophthalmic drug development, has selected ArisGlobal to create a single global safety database and improve the efficiency and quality of their global safety vigilance processes. Santen Pharmaceutical's safety suite will include ArisGlobal's LifeSphere MultiVigilance (LSMV), LifeSphere Reporting and Analytics and LifeSphere Intake and Triage solutions to automate key safety vigilance activities, reduce costs, and increase compliance. "LSMV's advanced artificial intelligence (AI) and machine learning automates repetitive manual tasks, improving efficiency and compliance levels. Switching to LSMV makes our team dramatically more efficient," added Dr. Shimada, head of global safety vigilance at Santen Pharmaceutical. Santen joins more than 250 life science companies, including 9 regulatory authorities, who use ArisGlobal's safety, medical affairs, clinical and regulatory solutions, benefiting from rapid implementation on a multi-tenant cloud with upgrades delivered seamlessly.


Artificial Intelligence in Healthcare - Machine Learning Detects Heart Attacks In Emergency Calls

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In this video I talk about an AI that is used in Denmark to listen to emergency calls to detect heart attacks before humans so that emergency service can be dispatched earlier. If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning.


AWS Announces General Availability of Amazon EC2 G4 Instances

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G4 instances provide the industry's most cost-effective machine learning inference for applications, like adding metadata to an image, object detection, recommender systems, automated speech recognition, and language translation. G4 instances also provide a very cost-effective platform for building and running graphics-intensive applications, such as remote graphics workstations, video transcoding, photo-realistic design, and game streaming in the cloud. Machine learning involves two processes that require compute – training and inference. Training entails using labeled data to create a model that is capable of making predictions, a compute-intensive task that requires powerful processors and high-speed networking. Inference is the process of using a trained machine learning model to make predictions, which typically requires processing a lot of small compute jobs simultaneously, a task that can be most cost-effectively handled by accelerating computing with energy-efficient NVIDIA GPUs.