4D Sensor

Learn about how radar odometry alongside SC-IEKF reduces trajectory errors, enabling accurate navigation without visual errors. 

Improving 4D Radar-IMU Odometry with SC-IEKF DeRO

Turbulence near steep underwater slopes in the near-equatorial ocean behave similarly to turbulence in mid-latitude regions, despite weaker Coriolis effects.

Scientist Finds Equatorial Ocean Turbulence Is Surprisingly Ordinary

DeepSee transforms how scientists visualize ocean data, helping researchers make better decisions and plan future studies more effectively.

DeepSee: Making It Easier to Analyze and Explore Ocean Data for Future Research

In 2021, HackerNoon hosted the first-ever Startup of the Year awards!!

Meet the Winners of Startups in Asia

The European market for IoT solutions is flourishing, with the Nordics catching up closely. In this article we will introduce the best IoT platforms. 

Top 7 European IoT Platforms to Consider in 2021

It’s been the dream of many space enthusiasts from the 1960s to live in an intelligent artificial gravity space station ever since it was popularized by NASA chief scientist Von Braun and the legendary film: ‘Space Odyssey: 2001’. 

Unfortunately, generating artificial gravity for astronauts was not a priority for NASA as astronauts were able to reduce some of the impact of weightlessness on their bodies thanks to a ruthless exercise regimen. Further, a ship that contains a centrifuge for generating artificial gravity would be extremely expensive to launch to orbit. So, NASA ended up sticking with a compact and modular station that is more affordable with their budget and that doesn’t deal with weightlessness risk and accepted the risks it posed to astronauts in the international space station.

Below is a comprehensive list of health risks astronauts face in the zero-g space station. Weightlessness risks are highlighted in the red box. 

Main Reasons To Build Intelligent Space Stations With An Artificial Gravity

Ever since the development of 3D software, we start to see an increase in spatial development, 3D architecture, and art. Ever since its first origins in 1976, we’d start to see how it became a powerful component within our daily lives.

3D Modeling Education and Our Future

The title of this article has nothing to do with the Canadian electronics shop chain. It’s a not so subtle play on the concept of <a href="https://en.wikipedia.org/wiki/Future_Shock" target="_blank">“future shock”</a> — the term used to describe our reaction to “too much change in too short a period of time”. And our shopping experience is definitely undergoing an enormous change that will only rise exponentially further on.

Future Shop: 10 Innovations in the Retail Store of the Future

Efficient 3D Gaussian segmentation guided by 2D models achieves fast, accurate multi-object segmentation, advancing 3D scene understanding and editing.

Effortless 2D-Guided, 3D Gaussian Segmentation: Conclusion and References

A brief history and promising future of personal XR. 

Facial Computing: A Brief History, and the Promising Future, of Personal XR

The World Wide Web is a library of pages. The Spatial Web is a library of spaces. 
using a new protocol linking spaces and all objects over multiple dimensions.

The Difference Between WWW and the Spatial Web

This slogging thread discusses a Swedish film festival's experiment with hypnosis, using this technique on spectators. The results have been quite interesting.

No More Loud Chewers at the Movies!

Let us talk about how autonomous vehicles 'see' the world.

How Waymo Combines Lidar and Cameras for 3D Object Detection

CRISPR, Quantum, Graphene, Smart Dust, Digital Twins, the Metaverse… You’ve heard about it all. Seen it all. Read it all. Or have you? 

Ten Future Technologies That Aren't in the Public Eye (Yet)

I recently shared an article called “The “Next Big Thing” in Technology : 20 Inventions That Will Change the World”, which got a few dozen thousand hits in the past couple of weeks. This calls for a sequel. The previous 20 technologies were specifically centered on the next 20 years of technology development; but there’s a lot more to unravel when looking beyond the near future, though certainty obviously decreases with time.

20 Future Technologies That Will Change the World by 2050

Technology being by design a fleeting concept, journalists, entrepreneurs and investors are endlessly looking to make big bucks by noticing and investing in the famed Next Big Thing. So much so that they sometimes lose their head in the process and spew out very silly things. This happy crowd of predictors often fails to see the irony of using history, which is at heart the study of surprises and changes, as a guide to the future. In doing so, they over-rely on past data as a signal to future conditions in a field where innovation and change is the lifeblood of progress.

I Compiled a List of Tech’s “Next Big Things” So You Wouldn’t Have to

Explore the fascinating concept of wedge holography, its application in understanding multiverse scenarios, resolving information paradoxes.

Multiverse in Karch-Randall Braneworld: Acknowledgements and References

FTC v. Binance Court Filing, retrieved on March 27, 2023, is part of HackerNoon’s Legal PDF Series. 

Summary of the FTC v Binance Court Case

.Tech Domains has launched #MyStartInTech, a campaign dedicated to drawing attention to the lack of diversity in Computer Science education in the US.

77 Leaders in the Tech Industry Share Their #MyStartInTech Stories

There are multiple ways in which Automated Speech Recognition (ASR) has provided value to different organizations, specifically Singapore government services.

Automated Speech Recognition Increases Productivity In Singapore's Government Services

Make sure to check out the other articles <a href="http://camron.xyz" target="_blank">here</a>.

TensorFlow in a Nutshell — Part Three: All the Models

Welcome to part four of Learning AI if You Suck at Math. If you missed parts 1, 2, 3, 5, 6 and 7 be sure to check them out.

Learning AI if You Suck at Math — P4 — Tensors Illustrated (with Cats!)

In this article, you get to look over my shoulder as I go about debugging a TensorFlow model. I did a lot of dumb things, so please don’t&nbsp;judge.

Debugging a Machine Learning model written in TensorFlow and Keras

Classifying video presents unique challenges for machine learning models. As I’ve covered in my <a href="https://medium.com/@harvitronix/continuous-online-video-classification-with-tensorflow-inception-and-a-raspberry-pi-785c8b1e13e1">previous</a> <a href="https://medium.com/@harvitronix/continuous-video-classification-with-tensorflow-inception-and-recurrent-nets-250ba9ff6b85">posts</a>, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.

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