virtualization


Optis's virtualization tech will make building autonomous cars easier

Engadget

Developing self driving vehicle technologies is hard -- just ask Google, or Uber, or Google that other time, or that one bus from Vegas. That's why a number of companies have been working to virtualize the development cycle so that untested technologies can crash and burn safely as their bugs are worked out. Among those companies is Optis, which announced on Tuesday that it will be partnering with two other firms to make virtual prototyping more accessible to the industry. The first company is LeddarTech -- they developed a signal processing technology that's used in solid state LiDAR. LeddarTech and Optis will be working to create a vehicle simulation system so that vehicle manufacturers and OEMs will be able to virtually prototype and test their LiDAR systems.


Cloud Architecture Trends in 2018 - DATAVERSITY

@machinelearnbot

People are constantly coming up with new and intelligent ways to use the Cloud. As a consequence, Cloud Architecture designs and developments are constantly being tweaked, adjusted, and improved upon. Today's businesses need to be flexible, move quickly, and understand their customer's desires and expectations. To do this, businesses are relying on the Cloud to provide a private communication system, a data storage system, and a Big Data processing system. As Cloud technologies evolve, organizations continue to find more and more uses.


What is Intent-based Networking? Characteristics and Companies

#artificialintelligence

We have seen the revolution in IT infrastructure networking with SDN and NFV in last 5 years. We are witnessing tremendous upgrade in digitization which resulted in agile and highly available network connectivity with the help of both of these technologies. Be it telecom or data center, SDN and NFV played huge role to reduce costs with adding benefit of faster resource allocation with its software defined nature. After revolutionizing network with functions virtualization and software defined operations, thought process is moved towards providing'intent' to network to perform tasks. Intent comes from business and IT services in form of demands from network to keep up with growing requirements, while reducing operational and maintenance costs and keep security in place.


How Is Machine Learning Used in Bitdefender Technologies? - Security Boulevard

#artificialintelligence

The terms "artificial intelligence" and "machine learning" are often used interchangeably, but there's a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware. In cyber security, machine learning algorithms can learn by themselves to make predictions based on previous experience and from daily analysis of millions of malicious programs. Practically, a machine learning algorithm is trained to identify a new or unknown threat based on similarities with known threats. For example, feeding a machine learning algorithm with all known variants of the CryptoLocker ransomware family will give it the ability to estimate whether an unknown sample is statistically likely – based on the features it shares with known CryptoLocker samples – to be part of the same ransomware family.


Why telcos will soon be betting on Artificial Intelligence to build their networks - ET Telecom

#artificialintelligence

NEW DELHI: As telecom companies are adopting technologies like virtualization, SDN-NFV, orchestration; Artificial Intelligence is going to play a big role in smooth integration of these technologies and automating the networks. As explained by Counterpoint Research, AI application in mobile networks circles around three applications – Self Optimizing networks (SONs), Software defined networks (SDN) & Network Function Virtualization (NFV) and enablement of neural networks. Among these, we may see SONs at the earliest. SONs enable operators automatically to optimize the network quality based on traffic information by region and time zone based on various machine learning algorithms. IDC on the other hand has predicted that 31.5% of the telecommunication organizations are primarily focusing to leverage existing investments/infrastructure and rest 63.5% are making new technology investments for AI systems.


Why telcos will soon be betting on Artificial Intelligence to build their networks

#artificialintelligence

NEW DELHI: As telecom companies are adopting technologies like virtualization, SDN-NFV, orchestration; Artificial Intelligence is going to play a big role in smooth integration of these technologies and automating the networks. As explained by Counterpoint Research, AI application in mobile networks circles around three applications – Self Optimizing networks (SONs), Software defined networks (SDN) & Network Function Virtualization (NFV) and enablement of neural networks. Among these, we may see SONs at the earliest. SONs enable operators automatically to optimize the network quality based on traffic information by region and time zone based on various machine learning algorithms. IDC on the other hand has predicted that 31.5% of the telecommunication organizations are primarily focusing to leverage existing investments/infrastructure and rest 63.5% are making new technology investments for AI systems.


Windows 10 Fall Creators Update is here: Should you upgrade now?

ZDNet

Windows 10 after two years: Was the upgrade worth it? After a little more than two years, Microsoft has finally settled into a rhythm with its new, fast-paced development cadence for Windows 10. Check Settings System About to see full details about the current Windows 10 installation. What Microsoft's marketers are calling the Fall Creators Update (officially version 1709) begins arriving on desktop PCs today via Windows Update and will soon be available for download at all the usual places. The final build number for this release is 16299.


Your deep learning Python Ubuntu virtual machine - PyImageSearch

#artificialintelligence

Your purchase of Deep Learning for Computer Vision with Python includes a pre-configured Ubuntu virtual machine for deep learning. From there select File Import Appliance...: Once the dialog opens you'll want to navigate to where the DL4CV Ubuntu VM.ova file resides on disk: Finally, you can click "Import" and allow the virtual machine to import: Figure 7: Importing the Ubuntu deep learning virtual machine may take 3-4 minutes depending on your system. There are multiple methods to access the Deep Learning for Computer Vision with Python source code datasets from your virtual machine. The Deep Learning for Computer Vision with Python virtual machine uses Python virtual environments to help organize Python modules and keep them separate from the system install of Python.


What to expect from the Windows 10 Fall Creators Update

ZDNet

In addition, the Windows Update display now offers detailed information about the status of individual updates, so you don't have to wonder whether anything's happening in the background. One of my favorite classic Windows features, Volume Mixer, has finally been updated to include Universal Windows Platform (UWP) apps, including Microsoft Edge and Groove Music. Remote Desktop settings, which were scattered in several locations in earlier versions, now get a single home: Settings System Remote Desktop. Microsoft turns Windows 10 Fall Creators Update focus to'stabilization' as of Build 16273


Monitoring APIs @DevOpsSummit @Catchpoint #API #DevOps #AI #WebPerf

#artificialintelligence

DevOps at Cloud Expo taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. The upcoming 21st International @CloudExpo @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.