Skip to main content
  1. Home
  2. Computing
  3. News

Microsoft shrinks bandwidth requirements for its Holoportation system

Add as a preferred source on Google

Microsoft showed off its Holoportation system to us earlier in 2016, debuting how it enabled the digital transportation of a person’s fully captured 3D form in augmented reality. Now, however, Microsoft has shown that the technology will be possible to use away from Ethernet and powerful Wi-Fi connections, by taking the technology on the road.

Microsoft implanted the Holoportation capture system into a car and drove it around, utilizing the 3D-teleporting function to send a digital avatar of a user into various locations, despite the absence of a strong local internet connection. This was only possible because Microsoft was able to reduce the required bandwidth by as much as 97 percent, dropping it to around 30-50Mbps.

Recommended Videos

Although this is still too much for current generation 4G networks, theoretically future 5G connections could see us Holoporting ourselves to all sorts of places while traveling. You could drive somewhere while your digital friend sits next to you to keep you company, or Holoport to a meeting you’re running late for.

The applications of Holoportation are impressive in their own right, but by reducing the bandwidth required to such a degree, Microsoft has made the technology portable and much more applicable for many more people around the world.

Augmented reality and virtual reality technology have a high enough barrier for entry in terms of cost, space requirements, and technical know how. Killing off the need for an incredibly speedy internet connection tackles a major hurdle to making this sort of technology more accessible for the general populace.

For those looking to take their Holoportation system on the road, Microsoft claims that it takes only two cameras. Together they are capable of capturing the realistic 3D representation of a person or object — however the firm does add the caveat that the more cameras you have, the better the digital recreation.

Jon Martindale
Jon Martindale covers how to guides, best-of lists, and explainers to help everyone understand the hottest new hardware and…
You can now check if a Google ad was made using AI
Google will auto-label its own AI ads, but third-party AI ads still rely on advertisers to come clean.
google-ads-ai-label

Ever looked at an ad and wondered if a real person made it or if it was AI generated in seconds? Google is now giving you a way to find out.

The company just announced a new AI transparency label that tells you whether an ad was created or edited using generative AI tools. The label lives inside Google's My Ad Center, and it is rolling out across Google Search, YouTube, and Discover globally.

Read more
Outlook will soon warn you before you answer an outdated email
Microsoft is bringing reply alerts, rule-based templates, and improved categories to Outlook
Computer, Electronics, Laptop

Microsoft has recently been cleaning up some longstanding Windows 11 pain points, including parts of the Start menu and Search. According to a new report from Windows Latest, the company is also preparing several useful changes for the new Outlook app on Windows 10 and Windows 11, which became generally available in 2024.

Microsoft is adding a warning for users who start replying to an older email after a newer response has arrived in the same conversation. The alert is meant to stop people from replying without seeing the latest information in the thread.

Read more
Google just changed how it grades the AI models you use for Android coding
Android Bench has a new testing framework and eight new models, so the rankings you remember are now out of date.
Android Bench featured.

Google just changed how it measures which AI models are best at writing Android app code, and the update has shuffled the rankings developers use to pick their tools. The company's Android Bench leaderboard, which launched in March, now runs on a new testing system called Harbor. Google says this replaces the older, more generic testing tool it used before, and gives a better read on how models perform on real Android tasks, like updating old code to Jetpack Compose or handling wearable device networking.

New models shake up the top of the list

Read more