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SAN FRANCISCO, Calif., June 16, 2020 Scality, provider of software solutions for global data orchestration and distributed file and object storage, announced an investment in Fondation Inria, the Foundation of the well-known French national research institute for digital sciences,Inria. Bringing both financial and collaboration backing to the institute, Scality will help support multi-disciplinary research and innovation initiatives. This includes mind-body health, precision agriculture, neurodegenerative diagnostics, privacy protection and more.

To be at the forefront of technological advancements and research has been a priority for Scality since our inception and we currently hold 10 patents. It only made sense for us to deepen our relationship with one of the most advanced research institutes on AI and algorithms in the world, said Jrme Lecat, Scality CEO and co-founder. We believe that technology and digital sciences can provide answers to the issues facing our fractured global society. Inria research teams work on incredible projects that actually change lives with personalized medicine, precision agriculture, sustainable development, smart cities and mobility, and security and privacy protection.

Scality has been close to Inria for many years and is involved with several collaborative research projects that are developing new concepts for distributed and scalable storage with Inria Distinguished Research Scholar,Marc ShapiroOne such project isRainbowFSwhich investigates an approach to distributed storage that ensures distributed consistency semantics tailored to applications in order to develop smarter and massively scalable systems.

We are delighted to be working with Scality. This collaboration is bringing two major players in French technology closer in order to further research and innovation on a global scale, said Jean-Baptiste Hennequin, Fondation Inria managing director. Our values align very closely to Scalitys: innovative research, social responsibility and open source. For example, our sheltered foundations are promoting the distribution of open source software for the durable development by bringing together their user communities within consortia, in recognition of how software embodies humanitys technical and scientific knowledge.

Read more about some of the exciting projects carried out by Inria research teams:

Read more here:
Scality Invests to Advance AI and Machine Learning with Inria Research Institute - HPCwire

Quantzig, a global data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems, brings to you comprehensive insights into the benefits of machine learning and artificial intelligence for food delivery companies in its recent article.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200616005880/en/

Whats in it for you?

Talk to our analytics experts for comprehensive insights on how artificial intelligence and machine learning for food delivery industry is transforming the complete food and beverages industry.

After several years of restricted use and confinement to tech labs, today artificial intelligence and machine learning have become dominant focal points for businesses especially in the food delivery industry. Food delivery industry is immensely popular among the millennials due to the convenience involved in the usage. The increasing competition among food delivery industry players to improve customer retention rates and improve product quality has forced the companies to explore new ways of improvement, and this is where big data, artificial intelligence and machine learning for food delivery industry comes into the picture.

Request a FREE proposal to learn more about our customized machine learning for food industry.

According to Quantzigs artificial intelligence and machine learning experts, "Food delivery industry players are now revolutionizing the food industry by leveraging artificial intelligence and machine learning to enhance their market reach and customer satisfaction rates."

Three Reasons Why Machine Learning for Food Delivery Industry is Important

1: Improve operational efficiency: Machine learning for food delivery industry helps to understand the customer behavior better and provide services as per their preferences. Artificial intelligence and machine learning is of great use when it come to analyze factors like the impact of temperature on food or the impact of market trends on consumption.

2: Enhance customer relationship: The rapid spread of artificial intelligence and machine learning in the food delivery industry have contributed significantly to the growing popularity of chatbots. These chatbots enable food delivery companies to enhance customer relationships. It is growing immensely popular due to its ability to drive better customer experiences.

3: Accurate delivery time estimates: Machine learning for food delivery industry helps to collect real-time data about traffic, and route plans and hence provides companies with an accurate estimation of the delivery time. Moreover, artificial intelligence and machine learning combined together can help in predicting the impact of these factors on food items and hence food delivery industry players can take preventive measures for food wastage.

Book a FREE solution demo to know how food delivery apps can leverage artificial intelligence and machine learning to evaluate their customers sentiments and take appropriate actions whenever required.

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal

View source version on businesswire.com: https://www.businesswire.com/news/home/20200616005880/en/

Contacts

Quantzig Anirban ChoudhuryMarketing ManagerUS: +1 630 538 7144UK: +44 208 629 1455https://www.quantzig.com/contact-us

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What Makes Food Delivery Companies Bet Big on Artificial Intelligence and Machine Learning | Learn More in Quantzigs Recent Article - Yahoo Finance

ByNeil Bennett| on June 16, 2020

Roto Brush 2 (above) makes masking easier in After Effects, while Premiere Rush and Pro will automatically reframe and detect scenes in videos.

Adobe has announced new features coming to its video post-production apps, on the date when it was supposed to be holding its Adobe Max Europe event in Lisbon, which was cancelled due to COVID-19.

These aren't available yet unlike the new updates to Photoshop, Illustrator and InDesign but are destined in future releases. We would usually expect these to coincide with the IBC conference in Amsterdam in September or Adobe Max in October, though both of these are virtual events this year.

The new tools are based on Adobe's Sensei machine-learning technology. Premiere Pro will gain the ability to identify cuts in a video and create timelines with cuts or markers from them ideal if you've deleted a project and only have the final output, or are working with archive material.

A second-generation version of After Effects' Roto Brush enables you to automatically extract subjects from their background. You paint over the subject in a reference frame and the tech tracks the person or object through a scene to extract them.

Premiere Rush will be gaining Premiere Pro's Auto Reframe feature, which identify's key areas of video and frames around them when changing aspect ratio for example when creating a square version of video for Instagram or Facebook.

Also migrating to Rush from Pro will be an Effects panel, transitions and Pan and Zoom.

Note: We may earn a commission when you buy through links on our site, at no extra cost to you. This doesn't affect our editorial independence. Learn more.

See the rest here:
After Effects and Premiere Pro gain more 'magic' machine-learning-based features - Digital Arts

In September, Microsoft launched a free beginners' Python course, and unveiled a new AI Business School course in the following month. Today, the firm has announced new Azure Machine Learning courses and scholarships in collaboration with Udacity. The Redmond giant aims to address the growing need for AI and data science positions through the availability of these courses, especially given how the COVID-19 pandemic has increased the demand of remote resources.

The digital education platform will host one introductory course, dubbed "Introduction to machine learning on Azure" for free. With the availability of 10,000 spots, the course will offer students the opportunity to learn through a minimal coding-based experience, with focus on machine learning basics powered by Azure's automated ML and drag-and-drop features, and further assistance through hands-on labs.

The top 300 performers in this course will then be given scholarships for the more advanced Nanodegree Program with Microsoft Azure, which is paid. This program will provide open source tools and frameworks that include PyTorch, TensorFlow, scikit-learn, and ONNX for students to deploy more complex ML solutions.

In a talk with Udacity CEO Gabe Dalporto, Azure CVP Julia White commented on the collaboration, noting that, "It's a wonderful moment, to go and think about retraining and getting skilled in a really important area that will continue to be highly relevant as we move forward".

The application window for the foundations course will be open from June 10 to June 30. The course will then begin on July 8 and will be available until September 10. You can find out more details and register for the course on its page.

Excerpt from:
Microsoft unveils Azure Machine Learning courses and scholarships on Udacity - Neowin

One of the tricks H.P. Lovecraft used to make his tales scarier was to avoid actually describing the horrible monsters his characters encountered. Hed tee them up with the suggestion of afish person or tentacle, but then have his narrator conveniently pass out from sheer terror. The idea was that these creatures were so awful as to defy comprehension by the human mind. And so, Source of Madness might be on to getting Lovecraft right by removing humans from its monster design entirely.

Instead, in this roguelite platformer, youll be facing off against a different array of monsters each time you begin a new run. The game uses a machine learning AI to generate new creatures each time, although they all seem to fall broadly under the motif of The Very Hungry Caterpillar Goes to Innsmouth.

Youll explore a wide variety of locales in a world that changes for each run, and the art that forms each area is similarly generated by AI neural networks. Your job is to travel across the Loam Lands from the Tower of Knowledge to the twin Tower of Madness, and everything seems to be going pretty badly in the areas between them.

Heres a trailer:

Source of Madness also features a realistic physics model, nine separate biomes, and four bosses to defeat. Youll use your enemies blood at special altars to make permanent progression by unlocking new magic to use in combat and hone your playstyle.

Theres no specific release date set yet, but look for the game on Steam sometime next year. Be sure to check out our list of demos to try during the SteamGame Festival there are more than 900 to try for free right now.

Read the original:
Source of Madness is a roguelite that uses machine learning to make new monsters for each run - PCGamesN