SlashdotNews for nerds, stuff that matters
3 Oct 2026, 16:00 by BeauHD
An anonymous reader quotes a report from Ars Technica: Rendering Doom in a database is obviously a bad idea," Lukas Vogel writes in a lengthy blog post explaining how exactly he managed to render Doom using an SQL database. OK, that's not entirely accurate. The SQLDoom project uses a small Python client to handle input and output, drive the game's timing, and display each frame to the screen. Behind that, a series of CedarDB tables tracks the game geometry and state, while about 1,300 lines of SQL queries spread across 89 common table expressions implement the game logic and generate 35 bitmap framebuffers per second. In this, SQLDoom is a major improvement over Vogel's previous DoomQL project, which last year set out to build "a multiplayer Doom-like shooter entirely in SQL." Unfortunately, that effort ended up with raycasting-based, grayscale ASCII graphics that were more akin to the simplistic 90-degree-angled maps of Wolfenstein 3D. The newer SQLDoom, on the other hand, generates full-color 640x480 frames that look like they could have come from the original Doom executable. [...] If you want to run a Doomtabase on your own local machine, you can do so simply with the GitHub code, a copy of CedarDB, and a Doom WAD file. Or you can jump into a free online hosted demo match to test it out without all the setup [...].
 
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3 Oct 2026, 15:00 by EditorDavid
Flock's cameras offer "indiscriminate mass surveillance," a U.S. federal judge wrote in a ruling Thursday, as does any system with "continuously updated" location histories for all the vehicles filmed by automated license plate-reading cameras. The judge's ruling included italics for emphasis when describing "the question of why is it the government's business where everyone goes all the time?" Judge Hill: We might reasonably expect our friends and family to tell us something like: "Hey, I saw you out driving by the store last week." But we do not expect people we know — let alone strangers, and especially not law enforcement — to randomly approach us to say: "Hey, I have been following your car for the last 30 days, and here is a detailed log of every place your vehicle has been with supporting photographic evidence. I am also going to share this information with law enforcement throughout the country so they know your whereabouts, too...." Cell phones also move in public places where people can see you in plain view. But it becomes constitutionally problematic when law enforcement can indiscriminately and passively catalog your whereabouts over an extended period of time and then use that information for any purpose whenever convenient... [I]t is also consequential that we are not just dealing with stationary cameras. The cameras on [police officer] Alaniz's vehicle itself feed information into these systems... It is also no longer difficult to imagine law enforcement using a fleet of drones hovering over an entire city so they don't miss the movement of a single vehicle. Officer Alaniz had used Flock's travel history for a car when deciding to pull over its driver, which eventually led to a vehicle search and charges of possessing drugs with intent to distribute. But the judge wrote that because this violated reasonable expectation of privacy, "all evidence obtained after Alaniz initiated the ALPR search must be suppressed as fruit of the poisonous tree." The judge granted a motion to "suppress all evidence obtained as a result of these unconstitutional searches and seizures." The Washington Post got this comment from a Flock spokesperson about the judge's ruling: "we expect it will be appealed and ultimately overturned." (Flock's spokesperson added that the ruling "does not set controlling precedent and does not affect law enforcement agencies' continued use of these important public safety technologies.") But meanwhile, on Friday U.S. Senator Bernie Sanders introduced the Ban Flock Act. The proposed bill bans federal agencies in America from using automated license plate reader systems "without explicit statutory authorization". The bill also lets certain federal agencies (including the Homeland Security Department) withhold grant money from State and local governments that use automatic license plate readers. TechCrunch reports: Despite its title, the bill doesn't call out Flock in the text and covers any and all ALPR systems. The bill allows exceptions only for toll collection and for uses that Congress approves in future legislation, which would have to limit data retention to no longer than 48 hours.... Representative Alexandria Ocasio-Cortez (D-N.Y.) and Senator Jeff Merkley (D-Ore.) are co-sponsors.
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3 Oct 2026, 11:00 by BeauHD
An estimated 2.3 million cancer cases worldwide in 2024, about one in eight, were attributable to infections, according to a study published in The Lancet Oncology. "This recent Lancet data is a profound reminder that a significant portion of our global cancer burden is fundamentally preventable," said David Greenberg, MD, of Hackensack Meridian Jersey Shore University Medical Center, in a news release. "We have historically siloed infectious diseases and oncology, but they are deeply intertwined. By shifting our focus toward aggressive infection control, we can literally vaccinate and treat our way out of millions of future cancer diagnoses." From a report: The study found that an estimated 2.3 million new cancer cases were attributable to infections globally in 2024, equivalent to 12% of all cancer cases. Of these, the largest number (760,000 cases, or 4%) were caused by H. pylori, followed by HPV (750,000 cases, or 4%), HBV (360,000 cases, or 2%), EBV (260,000 cases, or 1%) and HCV (160,000 cases). More than three quarters of infection-attributable cancers occurred in low- and middle-income countries. Eastern Asian had the largest burden, with 990,000 cases (42% of the global total). Rates were also higher than the global average in sub-Saharan Africa, Central and Eastern Europe and Southeast Asia.
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3 Oct 2026, 07:00 by BeauHD
Longtime Slashdot reader Geoffrey.landis shares a report from NPR: Google just put a refrigerator-sized satellite into space, part of a research project the company hopes can pave the way for orbiting AI data centers powered by the sun. The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company's Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries. In a blog post, Google said the mission will gauge how the TPUs handle "the physical stress of spaceflight and the radiation and thermal extremes of space." The satellite launched October 1 is a prototype that Travis Beals, senior director and lead of Project Suncatcher, called "a very minimal test" to make sure the chips can run in space. A SpaceX rocket carried it into orbit, and Planet will get it up and running. Beal said Google will then fire up and test the TPUs. The goal is for the mission to be operational for a year.
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