Enhancing AR with machine learning: Layering ML on top of AR apps extends their usefulness.

Enhancing AR with machine learning: Layering ML on top of AR apps extends their usefulness.

As Augmented Reality (AR) technologies improve, we are starting to see use cases that stretch beyond marketing and simple visualizations. These include product visualization, remote assistance, enhanced learning, quality control and maintenance as will be discussed in this article

Designing Virtual Reality for Marketing - Why Context is King

Designing Virtual Reality for Marketing - Why Context is King

Today we're seen a tremendous increase of business' being interested in VR, corresponding with a high increase of quality in design resources. One thing I've noticed is that most of this content focuses on heuristics and guidelines. In my professional opinion, such frameworks fail to demonstrate the relation between VR applications and the specific use contexts.

Should you use Oculus Quest in your business? 3 pros and cons you need to know

Should you use Oculus Quest in your business? 3 pros and cons you need to know

If you are an industry person with an interest in virtual reality (VR) it can be daunting to figure out which headsets on the market that suits you the best. At Kanda, we get to try many different VR headsets but over the time we have developed a soft spot for the Oculus Quest and so has our customers. This article covers some of its the pros and cons and provides you with insight on whether to use it in your business case.

7 Tips for Dealing With Small Data

7 Tips for Dealing With Small Data

How can we prototype and validate machine learning ideas without the most essential raw material? How can we efficiently obtain and create value with data when resources are sparse?

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

Is your algorithm confident enough? How to measure uncertainty in neural networks

When machine learning techniques are used in “mission critical” applications, the acceptable margin of error becomes significantly lower.

Imagine that your model is driving a car, assisting a doctor or even just interacting directly with an (perhaps easily annoyed) end user. In these cases, you’ll want to ensure that you can be confident in the predictions your model makes before acting on them.

Hands-on with Realfiction's holographic display

Hands-on with Realfiction's holographic display

We just received a new and interesting piece of hardware; a Dreamoc HD3.2 from Realfiction. It is described as a Holographic 3D Display that displays an illusion of virtual content being placed in a physical space. If you are in doubt what is meant by a holographic display think of the scene from Star Wars where Princess Leia asks for help from Obi-Wan through a holographic message.

Quick review of new AR Headset: Vuzix Blade

Quick review of new AR Headset: Vuzix Blade

Just got the Vuzix Blade here at Kanda a rather good-looking piece of digital eyewear that doesn't look and feel like something that we all will laugh at in 5-10 years down the road, which cannot be said about some of the other AR "space helmets" available today.

Speech as Input in Virtual Reality: Using speech & NLP for more dynamic virtual environments

Speech as Input in Virtual Reality: Using speech & NLP for more dynamic virtual environments

People have been wanting to talk to computers for a long time. Thanks to deep learning, speech recognition has become significantly more robust and significantly less frustrating — Even for less popular languages.