Slider

4361 Articles

Chandra X-ray Observatory Threatened By Budget Cuts

April 10, 2024 by 39 Comments

Launched aboard the Space Shuttle Columbia in July of 1999, the Chandra X-ray Observatory is the most capable space telescope of its kind. As of this writing, the spacecraft is in good health and is returning valuable scientific data. It’s currently in an orbit that extends at its highest point to nearly one-third the distance to the Moon, which gives it an ideal vantage point from which to make its observations, and won’t reenter the Earth’s atmosphere for hundreds if not thousands of years.

Yet despite this rosy report card, Chandra’s future is anything but certain. Faced with the impossible task of funding all of its scientific missions with the relative pittance they’re allocated from the federal government, NASA has signaled its intent to wind down the space telescope’s operations over the next several years. According to their latest budget request, the agency wants to slash the program’s $41 million budget nearly in half for 2026. Funding would remain stable at that point for the next two years, but in 2029, the money set aside for Chandra would be dropped to just $5.2 million.

Drastically reducing Chandra’s budget by the end of the decade wouldn’t be so unexpected if its successor was due to come online in a similar time frame. Indeed, it would almost be expected. But despite being considered a high scientific priority, the x-ray observatory intended to replace Chandra isn’t even off the drawing board yet. The 2019 concept study report for what NASA is currently calling the Lynx X-ray Observatory estimates a launch date in the mid-2030s at the absolute earliest, pointing out that several of the key components of the proposed telescope still need several years of development before they’ll reach the necessary Technology Readiness Level (TRL) for such a high profile mission.

With its replacement for this uniquely capable space telescope decades away even by the most optimistic of estimates, the  potential early retirement of the Chandra X-ray Observatory has many researchers concerned about the gap it will leave in our ability to study the cosmos.

Continue reading “Chandra X-ray Observatory Threatened By Budget Cuts” →

In A Twist, Humans Take Jobs From AI

April 9, 2024 by 41 Comments

Back in the 1970s, Rockwell had an ad that proudly proclaimed: “The best electronic brains are still human.” They weren’t wrong. Computers are great and amazing, but — for now — seemingly simple tasks for humans are out of reach for computers. That’s changing, of course, but computers are still not good at tasks that require a little judgment. Suppose you have a website where people can post things for sale, including pictures. Good luck finding a computer that can reliably reject items that appear to be illegal or from a business instead of an individual. Most people could easily do that with a far greater success rate than a computer. Even more so than a reasonable-sized computer.

Earlier this month, we reported on Amazon stepping away from the “just walk out” shopping approach. You know, where you just grab what you want and walk out and they bill your credit card without a checkout line. As part of the shutdown, they revealed that 70% of the transactions required some human intervention which means that a team of 1,000 people were behind the amazing technology.

Humans in the Loop

That’s nothing new. Amazon even has a service called Mechanical Turk that lets you connect with people willing to earn a penny a picture, for example, to identify a picture as pornographic or “not a car” or any other task you really need a human to do. While some workers make up to $6 an hour handling tasks, the average worker makes a mere $2 an hour, according to reports. (See the video below to see how little you can make!) The name comes from an infamous 200-year-old chess-playing “robot.” It played chess as well as a human because it was really a human hiding inside of it.

Continue reading “In A Twist, Humans Take Jobs From AI” →

Heating Mars On The Cheap

April 8, 2024 by 78 Comments

Mars is fairly attractive as a potential future home for humanity. It’s solid, with firm land underfoot. It’s able to hang on to a little atmosphere, which is more than you can say about the moon. It’s even got a day/night cycle remarkably close to our own. The only problem is it’s too darn cold, and there’s not a lot of oxygen to breathe, either.

Terraforming is the concept of fixing problems like these on a planet-wide scale. Forget living in domes—let’s just make the whole thing habitable!

That’s a huge task, so much current work involves exploring just what we could achieve with today’s technology. In the case of Mars, [Casey Handmer] doesn’t have a plan to terraform the whole planet. But he does suggest we could potentially achieve significant warming of the Red Planet for $10 billion in just 10 years. Continue reading “Heating Mars On The Cheap” →

Hackaday Links Column Banner

Hackaday Links: April 7, 2024

April 7, 2024 by 12 Comments

Folks with a bit of knowledge about network security commonly use virtual private networks (VPNs) when out and about. Whether you’re connecting to public WiFi or somebody passes you a questionable Ethernet cable at a hacker con, it’s nice to have a secure endpoint to tunnel all of your traffic. As a secondary bonus, connecting through a VPN can obscure your physical location. It’s that second feature that has a bunch of people jumping on the VPN bandwagon as they try to dodge the recent porn age checks that have gone into effect in a number of states. According to a recent article in PopSci, one particular VPN provider saw a 275% jump in demand on the same day that PornHub cut off access to users in Texas. While the debate over underage users accessing adult content is far outside of our wheelhouse, anything that gets more users connecting to the Internet via encrypted means is arguably a net positive.

If you wanted somebody from the Geek Squad to set up that VPN so you can get back on PornHub to work securely from the local coffee shop, you might be out of luck. Reports have been coming in that Best Buy’s mobile nerd division is seeing sweeping layoffs. Geeks were told to stay home on Tuesday and await a call from corporate, at which point many got the surprising news that they no longer had a job. The /r/GeekSquad subreddit has been a rallying point for staff who got the axe, with the user [jaym026] posting what we assume is an AI-generated inspirational speech from Optimus Prime. Of course, it sucks for anyone to lose their job, especially with the way things are these days. Still, we’re willing to bet almost none of those affected will look back on the day they were let go from an increasingly irrelevant brick-and-mortar electronics store as a low point in their professional careers.

Continue reading “Hackaday Links: April 7, 2024” →

Understand Your Tools: Finger Exercises

April 6, 2024 by 12 Comments

A dip meter is basically a coil of wire that, when you excite it, you can use to tell if something inside that coil is resonating along. This lets you measure unknown radio circuits to figure out their resonant frequency, for instance. This week, we featured a clever way to make a dip meter with a nanoVNA, which is an odd hack simply because a dip meter used to be a common spare-parts DIY device, while a vector network analyzer used to cost more than a house.

Times have changed, and for the better. Nowadays, any radio amateur can pick up a VNA for less than the cost of all but the cheesiest of walkie talkies, putting formerly exotic test equipment in the hands of untrained mortals. But what good is a fancy-pants tool if you don’t know how to use it? Our own Jenny List faced exactly this problem when she picked up a nanoVNA, and her first steps are worth following along with if you find yourself in her shoes.

All of this reminded me of an excellent series by Mike Szczys, “Scope Noob”, where he chronicled his forays into learning how to use an oscilloscope by running all of the basic functions by working through a bunch of test measurements that he already knew the answer to.

It strikes me that we could use something like this for nearly every piece of measuring equipment. Something more than just an instruction manual that walks you through what all the dials do. Something that takes you through a bunch of example projects and shows you how to use the tool in question through a handful of projects. Because these days, access to many formerly exotic pieces of measuring gear has enabled many folks to have gear they never would have had before – and all that’s missing is knowing how to drive them.

This article is part of the Hackaday.com newsletter, delivered every seven days for each of the last 200+ weeks. It also includes our favorite articles from the last seven days that you can see on the web version of the newsletter. Want this type of article to hit your inbox every Friday morning? You should sign up!

Fictional Computers: The Three Body Problem

April 5, 2024 by 54 Comments

If you intend to see the Netflix series “The Three Body Problem” or you want to read the Hugo-winning story from Chinese author [Cixin Liu], then you should probably bookmark this post and stop reading immediately. There will be some mild spoilers. You have been warned.

While the show does have some moments that will make your science brain cringe, there is one scene that shows a computer that could actually be built. Would it be practical? Probably not in real life, but in the context provided by the show, it was perfectly feasible. It could have, however, been done a little better, but the idea was — like many great ideas — both deceptively simple and amazingly profound. The computer was made of human beings. I’m not talking like Dune’s mentats — humans with super brains augmented by drugs or technology. This is something very different.

Background

This is your last chance. There are spoilers ahead, although I’ll try to leave out as much as I can. In the story, top scientists receive a mysterious headset that allows them to experience totally immersive holodeck-style virtual reality. When they put the headset on, they are in what appears to be a game. The game puts you in a historical location — the court of Henry VIII or Ghengis Kahn. However, this Earth has three suns. The planet is sometimes in a nicely habitable zone and sometimes is not. The periods when the planet is uninhabitable might have everything bursting into flames or freezing, or there might not be sufficient gravity to hold them on the planet’s surface. (Although I’ll admit, I found that one hard to grasp.)

Apparently, the inhabitants of this quasi-Earth can hibernate through the “chaotic eras” and wait for the next “stable era” that lasts a long time. The problem, as you probably know, is that there is no general closed-form solution for the three-body problem. Of course, there are approximations and special cases, but it isn’t easy to make long-term predictions about the state of three bodies, even with modern computers.

Continue reading “Fictional Computers: The Three Body Problem” →

Reduction of a physical map to a graph.

Where Graph Theory Meets The Road: The Algorithms Behind Route Planning

April 4, 2024 by 32 Comments

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those depending on the chosen methods of transport. For today’s generations no such contrivances are required, with technology having obliterated even the a need to splurge good money on a GPS navigation device and annual map updates.

These days, you get out a computing device, open Google Maps or equivalent, ask it how you should travel somewhere, and most of the time the provided route will be the correct one, including the fine details such as train platform and departure times. Yet how does all of this seemingly magical route planning technology work? It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential, they cannot be applied verbatim to the reality of graph traversal between destinations in the physical world.

Continue reading “Where Graph Theory Meets The Road: The Algorithms Behind Route Planning” →