Lifeboat Foundation

The company’s current Glass hardware is built on Android.

Google is hiring an “Augmented Reality OS” team focused on building software for an “innovative AR device,” according to job listings spotted by 9to5Google. The team is led by Mark Lucovsky, who announced he’d joined the company this week. Lucovsky previously worked at Meta developing an in-house alternative to Android to power the company’s hardware, and also co-authored the Windows NT operating system.

According to Google’s job listings, the Augmented Reality OS team is building “the software components that control and manage the hardware on [its] Augmented Reality (AR) products.” This is far from Google’s first stab at developing AR software, and follows the company’s work on ARCore for Android and Tango. The company’s Google Glass, which is aimed at the business and enterprise market, is currently built on Android.

Continue reading “Google staffs up to build OS for unknown ‘innovative AR device’” »

An AI pioneer reflects on how companies can use machine learning to transform their operations and solve critical problems.

Jeff Bezos’ Blue Origin has announced an ambitious plan to operate its own commercial space station called Orbital Reef sometime after 2024.

“Designed to open multiple new markets in space, Orbital Reef will provide anyone with the opportunity to establish their own address on orbit,” the company announced on Monday. Blue Origin describes the station as a “mixed used business park” in space. Orbital Reef will reside in a low Earth orbit at 310 miles, and function as a hub for research, commerce, tourism and logistics, where spaceships can also come and go.

Continue reading “Blue Origin to Build a Commercial Space Station Called Orbital Reef” »

It can connect any two points in the continental U.S. without refueling.

2021 saw massive growth in the demand for edge computing — driven by the pandemic, the need for more efficient business processes, as well as key advances in the Internet of Things, 5G and AI.

In a study published by IBM in May, for example, 94 percent of surveyed executives said their organizations will implement edge computing in the next five years.

Continue reading “Top 5 Edge AI Trends to Watch in 2022” »

For more than 50 years, near space has been viewed as a vast resource to exploit with few limits. In reality, near space is a very scarce resource. While international agreements such as the Outer Space Treaty and the Registration Convention take steps to protect this precious resource, no single global body is responsible for ensuring the long-term sustainability and safety of near space.

The current surge in the exploitation of outer space means that this lack of a global framework for space sustainability must be addressed immediately, or it will be too late; near space will be cluttered and unrecoverable. We are seeing increased use of near space for tourism and other business ventures and the deployment of megaconstellations comprising tens to hundreds of thousands of satellites. And this is just the start. Last month, we witnessed a Russian anti-satellite test that left portions of near space cluttered with orbital debris. Failure to implement a global framework with an enforcement mechanism for space sustainability could severely impact the ability to fully utilize the resource in the near future.

Today near space activities are subject to disparate space sustainability requirements, generally reliant on the requirements of the object’s launching state or conditions imposed by countries in which entities have market access. Some countries have developed well-crafted requirements for at least some space objects, but others have not. In addition, except for the items covered in existing treaties, like launching state liability, there is almost no harmonization on requirements, which further jeopardizes space sustainability.

Yet despite the chip giant’s manufacturing struggles, it still maintains nearly 90% market share in data-center chips, compared with AMD’s 10%, according to data from Mercury Research. Intel has lost more ground in desktop and laptop computers, holding onto 83% market share and 78% share respectively, with the remainder going mostly to AMD, according to Mercury data.

After years of hearing about these problems, Wall Street had largely written off the company’s manufacturing prowess. Investors expected the company to move to a hybrid approach to chip making, contracting more of its chip manufacturing to TSMC and potentially to Samsung. Some analysts suggested the company go as far as spinning out the manufacturing business, as AMD did with what is now known as GlobalFoundries years ago.

But weeks after Gelsinger took over, he announced that the company planned to double down on its manufacturing business in an effort to return Intel to its roots, including a bid to compete with TSMC as a contract manufacturer. Since his return to Intel after nearly nine years as chief executive of VMware, he has shaken up the company’s executive team. That includes re-hiring several notable Intel staffers, including Natarajan.

2021 will be remembered as a significant year for the cyber security industry. With the pandemic accelerating digital transformation, the threat landscape was in constant flux. Major ransomware attacks demonstrated not just their impact on businesses, but wider society too. As we look ahead to 2022, the only constant in our industry is uncertainty in the cyber realm, but here are a few of our predictions for next year, based on trends we’re already seeing emerge.

Ransomware.

WASHINGTON – The National Geospatial-Intelligence Agency has selected a team of commercial and academic partners to build an artificial intelligence system with synthetic data, which will further help the agency determine how it builds machine learning algorithms moving forward.

Orbital Insight was issued a Phase II Small Business Innovation Research contract by the NGA, the company announced. Dec. 16. It will collaborate with Rendered.ai and the University of California, Berkeley, to develop a computer vision model.

As the organization charged with analyzing satellite imagery for the intelligence community, NGA has put increased emphasis on using AI for its mission. The agency sees human-machine pairing as critical for its success, with machine learning algorithms taking over the rote task of processing the torrent of satellite data to find potential intelligence and freeing up human operators to do more high level analysis and tasks.