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Creating a music genre model with your own data in AWS DeepComposer Amazon Web Services


AWS DeepComposer is an educational AWS service that teaches generative AI and uses Generative Adversarial Networks (GANs) to transform a melody that you provide into a completely original song. With AWS DeepComposer, you can use one of the pre-trained music genre models (such as Jazz, Rock, Pop, Symphony, or Jonathan-Coulton) or train your own. As a part of training your custom music genre model, you store your music data files in NumPy objects. This post accompanies the training steps in Lab 2 – Train a custom GAN model on GitHub and demonstrates how to convert your MIDI files to the proper training format for AWS DeepComposer. For this use case, you use your own MIDI files to train a Reggae music genre model.

What Netflix's 'Space Force' gets right (and wrong) about the real Space Force


Space Force has landed on Netflix. In response to Donald Trump's 2018 announcement of the United States' newest military branch, Parks and Recreation creator Greg Daniels teamed up with The Office star Steve Carell to bring an intergalactic workplace comedy to Netflix. What follows is a messy, crazy, Beach Boys-infused send-up of military culture and the current administration. Whether you loved it or hated it (we found it meh), this series predicted headlines in a supremely timely and remarkably accurate fashion. What did Netflix's Space Force get right and wrong about the real United States Space Force?

Deep Learning A-Z : Hands-On Artificial Neural Networks


Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve.

Facebook knew its algorithm made people turn against each other but stopped research

The Independent - Tech

Facebook executives took the decision to end research that would make the social media site less polarising for fears that it would unfairly target right-wing users, according to new reports. The company also knew that its recommendation algorithm exacerbated divisiveness, leaked internal research from 2016 appears to indicate. Building features to combat that would require the company to sacrifice engagement – and by extension, profit – according to a later document from 2018 which described the proposals as "antigrowth" and requiring "a moral stance." "Our algorithms exploit the human brain's attraction to divisiveness," a 2018 presentation warned, warning that if action was not taken Facebook would provide users "more and more divisive content in an effort to gain user attention & increase time on the platform." According to a report from the Wall Street Journal, in 2017 and 2018 Facebook conducted research through newly created "Integrity Teams" to tackle extremist content and a cross-jurisdictional task force dubbed "Common Ground."

Vesta raises $125 million to fight payment fraud with AI


Payments solutions provider Vesta today announced that it raised $125 million in capital, bringing its total raised to over $145 million. The company says it will use the financing to grow and accelerate the deployment of its fraud protection and ecommerce payment products. Payment fraud is pervasive -- in 2018, $24.26 billion was lost due to credit card fraud worldwide, reports Shift Processing. That same year, the rate of card fraud increased by nearly 20% as the U.S. took the lead in reported losses. Vesta says its AI-powered decisioning platform helps clients to assess the risk of this fraud and ultimately to prevent fraud from occurring, with connectors that tie into existing software from vendors including Magento, Shopify, WooCommerce, BigCommerce, and SAP Commerce Cloud.

10 Ways AI Can Improve Voice Of The Customer Programs


Customer's expectations are the guard rails that guide how their relationships progress with any business. The pandemic has made the predictable unpredictable, erasing marketing personas of the past and re-writing them in real-time. Old guard rails and expectations are changing fast. Having an accurate outside-in view from the customer's perspective is the value VoC programs deliver, with the best ones providing data to guide strategy. Pure e-commerce orders have grown 110% since January, and e-commerce revenue has increased by 96%.

Blue Prism adds bring your own license to Oracle Cloud


The cloud computing race in 2020 will have a definite multi-cloud spin. Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves. Blue Prism, a key robotics process automation player, will provide a bring your own license offering on Oracle Cloud Infrastructure. The company was already in Oracle's partner network, but the addition to the Oracle Cloud Marketplace will make it easier to deploy Blue Prism and integrate it with Oracle software. According to Blue Prism, the bring your own license listing will be pre-installed on any image for deployment on Oracle's cloud.

Train ALBERT for natural language processing with TensorFlow on Amazon SageMaker Amazon Web Services


At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today, we're open-sourcing the optimized training code for ALBERT (A Lite BERT), a powerful BERT-based language model that achieves state-of-the-art performance on industry benchmarks while training 1.7 times faster and cheaper. This post demonstrates how to train a faster, smaller, higher-quality model called ALBERT on Amazon SageMaker, a fully managed service that makes it easy to build, train, tune, and deploy ML models. Although this isn't a new model, it's the first efficient distributed GPU implementation for TensorFlow 2. You can use AWS training scripts to train ALBERT in Amazon SageMaker on p3dn and g4dn instances for both single-node and distributed training.

Twitter users stretch words such 'duuuuude' to modify their meaning

Daily Mail - Science & tech

Twitter users stretch words such as'yes', 'dude' and'hey' to modify their meaning, according to researchers who analysed 100 billion tweets. The US linguist experts say stretched words that convey a different meaning than the original are common feature of social media, but are rare in formal writing. For instance, 'suuuuure' can imply sarcasm, 'duuuuude' can be a sign of incredulity, 'yeeessss' may indicate excitement and'heellllp' may be a sign of desperation. Researchers say they've developed new tools that could be used in future research of stretchable words, such as investigations of mistypings and misspellings. These could also be applied to improve natural language processing for software and search engines and Twitter's spam filters, or even have applications in genetics.

Disney , Hulu, Prime Video on Echo and Google displays

USATODAY - Tech Top Stories

Upgrading from a smart speaker (like the Echo Dot) to a smart display (like the Echo Show) can be a game-changer. With a display, you can have recipes at your fingertips in the kitchen, a multi-functional digital photo frame in your living room, and easily enjoy a hands-free video chat from anywhere in the house. You can also quickly see information like the outside temperature and control your smart light switches and door locks from the touch screen. But smart displays are also great for watching your favorite shows while you work, whether you're cooking in the kitchen or putting away laundry in the bedroom. There's just one caveat: Different devices support different streaming platforms.