Skip to main content

Smart telescope startups vie to fix astronomy’s satellite challenge

Starlink, the satellite branch of Elon Musk’s SpaceX company, has come under fire in recent months from astronomers over concerns about the negative impact that its planned satellite clusters have reportedly had — and may continue to have — on nighttime observation.

According to a preliminary report released last month by the International Astronomical Union (IAU), the satellite clusters will interfere with the ability of telescopes to peer deep into space, and will limit the amount of observable hours, as well as the quality of images taken, by observatories.

The stakes involved are high, with projects like Starlink potentially being central to the future of global internet coverage, especially as new infrastructure implements 5G and edge computing. At the same time, satellite clusters — whether from Starlink or national militaries — could threaten the foundations of astronomical research.

Musk himself has been inconsistent in his response. Some days, he promises collaboration with scientists to solve the issue; on others, such as two weeks ago at the Satellite 2020 conference, he declared himself “confident that we will not cause any impact whatsoever in astronomical discoveries.” 

Critics have pointed fingers in many directions in search of a solution to the issue. Some astronomers demand that spacefaring companies like Musk’s look after the interests of science (Amazon and Facebook have also been developing satellite projects similar to SpaceX’s). Others ask national or international governing bodies to step in and create regulations to manage the problem. But there’s another sphere altogether that may provide a solution: startups looking to develop “smart telescopes” capable of compensating for cluster interference.

Should they deliver on their promise, smart telescopes and shutter units will save observatories time and money by protecting images that are incredibly complicated to generate.


from TechCrunch https://ift.tt/33OKv4p
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT