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It’s no secret that AI is everywhere, yet it’s not always clear when we’re interacting with it, let alone which specific techniques are at play. But one subset is easy to recognize: If the experience is intelligent and involves photos or videos, or is visual in any way, computer vision is likely working behind the scenes.

Computer vision is a subfield of AI, specifically of machine learning. If AI allows machines to “think,” then computer vision is what allows them to “see.” More technically, it enables machines to recognize, make sense of, and respond to visual information like photos, videos, and other visual inputs.

Over the last few years, computer vision has become a major driver of AI. The technique is used widely in industries like manufacturing, ecommerce, agriculture, automotive, and medicine, to name a few. It powers everything from interactive Snapchat lenses to sports broadcasts, AR-powered shopping, medical analysis, and autonomous driving capabilities. And by 2,022 the global market for the subfield is projected to reach $48.6 billion annually, up from just $6.6 billion in 2015.

We speak to AR experts about the future of the Oculus Quest.

Oculus is getting into AR, and it has big repercussions for the future direction of the company and its popular line of VR headsets – especially the eventual Oculus Quest 3.

The Facebook-owned company recently announced its intention to open up its Oculus platform to augmented reality developers, allowing them to use the Oculus Quest 2 headset to host AR games and apps rather than simply VR titles – setting the scene for an explosion of both consumer and business applications on the popular standalone headset.

Continue reading “Oculus Quest 2 is getting AR – but could the Quest 3 take it further?” »

Lambda, an AI infrastructure company, this week announced it raised $15 million in a venture funding round from 1517, Gradient Ventures, Razer, Bloomberg Beta, Georges Harik, and others, plus a $9.5 million debt facility. The $24.5 million investment brings the company’s total raised to $28.5 million, following an earlier $4 million seed tranche.

In 2013, San Francisco, California-based Lambda controversially launched a facial recognition API for developers working on apps for Google Glass, Google’s ill-fated heads-up augmented reality display. The API — which soon expanded to other platforms — enabled apps to do things like “remember this face” and “find your friends in a crowd,” Lambda CEO Stephen Balaban told TechCrunch at the time. The API has been used by thousands of developers and was, at least at one point, seeing over 5 million API calls per month.

Since then, however, Lambda has pivoted to selling hardware systems designed for AI, machine learning, and deep learning applications. Among these are the TensorBook, a laptop with a dedicated GPU, and a workstation product with up to four desktop-class GPUs for AI training. Lambda also offers servers, including one designed to be shared between teams and a server cluster, called Echelon, that Balaban describes as “datacenter-scale.”

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Continue reading “The Technological Revolution (The 4th Industrial Revolution Explained)” »

EcoTech Recycling’s patented thermodynamic process turns waste rubber into a nontoxic synthetic material for new tires, auto parts and insulation.

If you’ve ever seen a tire graveyard piled high with trashed rubber, you can easily understand that Israeli company EcoTech Recycling has a green gem of an idea.

EcoTech’s nontoxic process produces a unique material, Active Rubber (AR), from end-of-life tires. With1.6 billion tires manufactured annually, and 290 million tires discarded each year in the United States alone, tires are the world’s largest source of waste rubber.

Continue reading “Here’s a cool green way to upcycle millions of old tires” »

Deep-tech healthcare & energy investments for a sustainable future — dr. anil achyuta, investment director / founding member, TDK ventures.

Dr. Anil Achyuta is an Investment Director and a Founding Member at TDK Ventures, which is a deep-tech corporate venture fund of TDK Corporation, the Japanese multinational electronics company that manufactures electronic materials, electronic components, and recording and data-storage media.

Continue reading “Dr. Anil Achyuta — TDK Ventures — Founding Member — Deep-Tech Healthcare And Energy Investments” »

This article is part of our new series, Currents, which examines how rapid advances in technology are transforming our lives.

Imagine operating a computer by moving your hands in the air as Tony Stark does in “Iron Man.” Or using a smartphone to magnify an object as does the device that Harrison Ford’s character uses in “Blade Runner.” Or a next-generation video meeting where augmented reality glasses make it possible to view 3D avatars. Or a generation of autonomous vehicles capable of driving safely in city traffic.

These advances and a host of others on the horizon could happen because of metamaterials, making it possible to control beams of light with the same ease that computer chips control electricity.

https://youtu.be/Jd2GK0qDtRg

Microsoft Mesh enables presence and shared experiences from anywhere – on any device – through mixed reality applications.

Mesh allows for connections with new depth and dimension. As digital intelligence comes to the real world, we’re now able to see, share, and collaborate on content that persists. This common understanding ignites ideas, sparks creativity, and forms powerful bonds.

Continue reading “Introducing Microsoft Mesh” »

AI plays an important role across our apps — from enabling AR effects, to helping keep bad content off our platforms and better supporting our communities through our COVID-19 Community Help hub. As AI-powered services become more present in everyday life, it’s becoming even more important to understand how AI systems may affect people around the world and how we can strive to ensure the best possible outcomes for everyone.

Several years ago, we created an interdisciplinary Responsible AI (RAI) team to help advance the emerging field of Responsible AI and spread the impact of such work throughout Facebook. The Fairness team is part of RAI, and works with product teams across the company to foster informed, context-specific decisions about how to measure and define fairness in AI-powered products.