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Dell Technologies rolls out systems for HPC, AI workloads leveraging VMware's Bitfusion

ZDNet

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build. Dell Technologies is rolling out a series of designs and systems that aim to speed up artificial intelligence deployments by using VMware's acquired Bitfusion technology. Two Dell EMC Ready Solutions are based on VMware Validated Designs to combine Dell EMC hardware with VMware Cloud Foundation and AI management Bitfusion tools in VMware vSphere 7. Dell Technologies said that its Dell Dell Technologies is claiming to be among the first IT companies to equip systems to run AI workloads within VMware environments. Ravi Pendekanti, senior vice president of product management and marketing for Dell Technologies server unit, said the new systems are designed to run AI anywhere and take advantage of underutilized GPUs. "GPU instances are being underutilized and that is holding back AI," said Pendekanti.


The usage of Artificial Intelligence in SaaS

#artificialintelligence

Reading Time: 3 minutes Software as a service (SaaS) has enjoyed significant growth as a market over the past decade, with more and more businesses and consumers making use of cloud-powered solutions to run apps and services. Today, new pressures are shaping the SaaS ecosystem, with artificial intelligence (AI) arguably being the most impactful and disruptive of the bunch. Here is a look at how AI is already unleashing the true potential of SaaS and what features it is making available to the mainstream today which would have been impossible to offer just a year or two earlier. Customization There are growing expectations surrounding the provision of bespoke experiences that are tailored to the needs and habits of individual users, and with the help of AI in software development, it is simpler for SaaS to meet this demand. AI has been especially impactful with regards to enhancing the natural language processing abilities of SaaS software, allowing apps to adapt to user behaviors and habits rapidly, and without the need for extensive reworking at the back end by developers.


The Beginner's Guide to Artificial Intelligence in Unity.

#artificialintelligence

Created by Penny de Byl, Penny @Holistic3D.com English, Portuguese [Auto-generated], 1 more Students also bought A Beginner's Guide To Machine Learning with Unity Build A Multiplayer Kart Racing Game In Unity V.2019 Introduction To Unity For Absolute Beginners 2018 ready Learn Unity's Entity Component System to Optimise Your Games Git Smart: Enjoy Git in Unity, SourceTree & GitHub Preview this course GET COUPON CODE Description Do your non-player characters lack drive and ambition? Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you. Join Penny as she explains, demonstrates and assists you in creating your very own NPCs in Unity with C#.


Windows 10 May 2020 Update review: Microsoft boosts Linux and Your Phone, but Cortana slips hard

PCWorld

Update, 05/27/2020: Microsoft launched the May 2020 update on May 27, through manual download first, or you can just wait for Microsoft to push it to your PC. Our review of Microsoft's Windows 10 20H1 update--also known as version 2004, or the Windows 10 May 2020 Update--shows an OS focused primarily on building out existing features, rather than launching new ones. Some scaffolding is still apparent in tweaks to Your Phone, and especially Cortana. Microsoft has further polished Task Manager, Settings, and Game Bar, however, and isn't afraid to serve niche audiences with upgrades to the Windows Subsystem for Linux and the related Terminal app. As in the past, we've based our review on the Insider builds of the Windows 10 May 2020 Update, beginning with the major features and working through to its minor additions.


Microsoft continues its productivity-aide push with the new Cortana app for Windows 10 2004

ZDNet

As Microsoft begins rolling out its Windows 10 2004/May 2020 Update, the company also will be delivering its new "Cortana experience" simultaneously. This new, separate Cortana app, available for Windows 10 starting with this feature update, is all about using natural language (voice or typing activated) to handle more productivity tasks. Microsoft revealed officially earlier this year that it would be delivering Cortana as a standalone app starting with the Windows 10 2004/May 2020 Update. This app, which will be able to be updated independently of the underlying operating system, will allow users to check their schedule, set reminders, add Microsoft ToDo tasks and more. Starting May 27, the new Cortana app will be generally available in English for those with the publicly available Windows 10 2004/May 2020 update.


New AI Chips Set to Reshape Data Centers - EE Times India

#artificialintelligence

AI chip startups are hot on the heels of GPU leader Nvidia. At the same time, there is also significant competition in data center inference... New computing models such as machine learning and quantum are becoming more important for delivering cloud services. The most immediate computing change has been the rapid adoption of ML/AI for consumer and business applications. This new model requires the processing vast amounts of data to developing usable information, and eventually building knowledge models. These models are rapidly growing in complexity – doubling every 3.5 months.


Build and deploy your first machine learning web app - KDnuggets

#artificialintelligence

In our last post we demonstrated how to train and deploy machine learning models in Power BI using PyCaret. If you haven't heard about PyCaret before, please read our announcement to get a quick start. In this tutorial we will use PyCaret to develop a machine learning pipeline, that will include preprocessing transformations and a regression model to predict patient hospitalization charges based on demographic and basic patient health risk metrics such as age, BMI, smoking status etc. PyCaret is an open source, low-code machine learning library in Python to train and deploy machine learning pipelines and models in production. PyCaret can be installed easily using pip. Flask is a framework that allows you to build web applications.


Amazon's free-to-play shooter 'Crucible' is now available on Steam

Engadget

Amazon Games has officially launched Crucible, one of the two titles it's been planning to release this year. The free-to-play third-person shooter is now available on Steam, and logging in before 11:59 PM PST on June 1st/2:59AM EST on June 2nd will earn players 1,000 in-game Credits for free. Crucible has 10 hunters to choose from at launch, including robotic botanist Bugg (pictured above), who's the game's obvious poster child. Each hunter has their own weapons and abilities that they must use to defeat not just opponents, but also the planet's flora and fauna. The game has also launched with three game modes.


The Beginner's Guide to Artificial Intelligence in Unity.

#artificialintelligence

Created by Penny de Byl, Penny @Holistic3D.com English, Portuguese [Auto-generated], 1 more Students also bought A Beginner's Guide To Machine Learning with Unity Finish It! Motivation & Processes For Game & App Development Learn Unity's Entity Component System to Optimise Your Games Introduction To Unity For Absolute Beginners 2018 ready Git Smart: Enjoy Git in Unity, SourceTree & GitHub Preview this Course GET COUPON CODE Description Do your non-player characters lack drive and ambition? Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you. Join Penny as she explains, demonstrates and assists you in creating your very own NPCs in Unity with C#.


Implementing AI The Right Way

#artificialintelligence

AI sign in the center of circuit board, Artificial intelligence connect the future, vector... [ ] illustration For many companies, when it comes to implementing AI, the typical approach is to use certain features from existing software platforms (say from Salesforce.com's Einstein). But then there are those companies that are building their own models. Yes, this can move the needle, leading to major benefits. At the same time, there are clear risks and expenses. Let's face it, you need to form a team, prepare the data, develop and test models, and then deploy the system.