PeLEDs: Using Perovskites To Create LEDs Which Also Sense Light

With both of the dominant display technologies today – LCD and OLED – being far from perfect, there is still plenty of room in the market for the Next Big Thing. One of the technologies being worked on is called PeLED, for Perovskite LED. As a semiconductor material, it can both be induced to emit photons as well as respond rather strongly to incoming photons. That is a trick that today’s displays haven’t managed without integrating additional sensors. This technology could be used to create e.g. touch screens without additional hardware, as recently demonstrated by [Chunxiong Bao] and colleagues at Linköping University in Sweden and Nanjing University in China.

Their paper in Nature Electronics describes the construction of photo-responsive metal halide perovskite pixels, covering the typical red (CsPbI3−xBrx), green (FAPbBr3), and blue (CsPbBr3−xClx) wavelengths. The article also describes the display’s photo-sensing ability to determine where a finger is placed on the display. In addition, it can work as an ambient light sensor, a scanner, and a solar cell to charge a capacitor. In related research by [Yun Gao] et al. in Nature Electronics, PeLEDs are demonstrated with 1 microsecond response time.

As usual with perovskites, their lack of stability remains their primary obstacle. In the article by [Chunxiong Bao] et al. the manufactured device with red pixels was reduced to 80% of initial brightness after 18.5 hours. While protecting the perovskites from oxygen, moisture, etc. helps, this inherent instability may prevent PeLEDs from ever becoming commercialized in display technology. Sounds like a great challenge for the next Hackaday Prize!

A Look Back At The USSR’s Mi-6 Helicopter Airliner

Most of us would equate commercial airline travel with fixed-wing aircraft, but civilian transport by helicopter, especially in large and sparsely populated regions, is common enough. It was once even big business in the Soviet Union, where the Aeroflot airline operated passenger helicopters in regular service for many decades. In the mid-1960s they even started work on converting the Mil Mi-6 — the USSR’s largest and fastest helicopter — to carry paying passengers. Unfortunately this never got past a single prototype, with the circumstances described by [Oliver Parken] in a recent article.

This passenger version of the Mi-6 got the designation Mi-6P (for passazhirskyi, meaning passenger) and would have seated up to 80 (3 + 2 row configuration), compared to the Mi-8 passenger variant that carried 28 – 31 passengers. Why exactly the Mi-6P never got past the prototype stage is unknown, but its successor in the form of the Mi-26P has a listed passenger variant and features. Both have a cruising speed of around 250 km/h, with a top of 300 km/h. The auxiliary winglets of the Mi-6 provided additional lift during flight, and the weight lifting record set by the Mi-6 was only broken by the Mi-26 in 1982.

An obvious disadvantage of passenger helicopters is that they are more complicated to operate and maintain, while small fixed wing airliners like the ATR 72 (introduced in 1988) can carry about as many passengers, requires just a strip of tarmac to land and take off from, travel about twice as fast as an Mi-6P would, and do not require two helicopter pilots to fly them. Unless the ability to hover and land or take-off vertically are required, this pretty much explains why passenger helicopters are such a niche application. Not that the Mi-6P doesn’t have that certain je ne sais quoi to it, mind.

Cloudflare Adds Block For AI Scrapers And Similar Bots

It’s no big secret that a lot of the internet traffic today consists out of automated requests, ranging from innocent bots like search engine indexers to data scraping bots for LLM and similar generative AI companies. With enough customers who are less than amused by this boost in useless traffic, Cloudflare has announced that it’s expanding its blocking feature for the latter category of scrapers. Initially this block was only for ‘poorly behaving’ scrapers, but now it apparently targets all of such bots.

The block seems to be based around a range of characteristics, including the user agent string. According to Cloudflare’s data on its network, over 40% of identified AI bots came from ByteDance (Bytespider), followed by GPTBot at over 35% and ClaudeBot with 11% and a whole gaggle of smaller bots. Assuming that Imperva’s claims of bots taking up over half of today’s internet traffic are somewhat correct, that means that even if these bots follow robots.txt, that is still a lot of bandwidth being drained and the website owner effectively subsidizing the training of some company’s models. Unsurprisingly, Cloudflare notes that many website owners have already taken measures to block these bots in some fashion.

Naturally, not all of these scraper bots are well-behaved. Spoofing the user agent is an obvious way to dodge blocks, but scraper bot activity has many tell-tale signs which Cloudflare uses, as well as statistical data across its global network to compute a ‘bot score‘ for any requests. Although it remains to be seen whether false positives become an issue with Cloudflare’s approach, it’s definitely a sign of the times that more and more website owners are choosing to choke off unwanted, AI-related traffic.

Access To Fresh And Potable Water: An Ancient And Very Current Challenge

Throughout history, clean and potable water has been one of the most prized possessions, without which no human civilization could have ever sustained itself. Not only is water crucial for drinking and food preparation, but also for agriculture, cleaning and the production of countless materials, chemicals and much more. And this isn’t a modern problem: good water supplies and the most successful ancient cultures go hand in hand.

For instance, the retention and management of fresh water in reservoirs played a major role in the Khmer Empire, with many of its reservoirs (baray) surviving to today. Similarly, the Anuradhapure Kingdom in Ceylon (now Sri Lanka) featured massive reservoirs like Kala Wewa that was constructed in 460 CE with a capacity of 123 million m3. In the New World, the Maya civilization similarly created reservoirs with intricate canals to capture rainwater before the dry season started, as due to the karst landscape wells were not possible.

Keeping this water fresh and free from contaminants and pollution was a major problem for especially the Maya, with a recent perspective by Lisa J. Lucera in PNAS Anthropology suggesting that they used an approach similar to modern day constructed wetlands to keep disease and illness at bay, while earlier discoveries also suggest the use of filtration including the use of zeolite.

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SIMD-Accelerated Computer Vision On The ESP32-S3

One of the fun parts of the ESP32-S3 microcontroller is that it got upgraded to the newer Cadence Xtensa LX7 processor core, which turns out to have a range of SIMD instructions that can help to significantly speed up a range of tasks. [Shranav Palakurthi] recently used this to speed up the processing of video frames to detect corners using the FAST method. By moving some operations that benefit from SIMD over to an optimized version written in LX7 ASM, the algorithm’s throughput was increased by 220%, from 5.1 MP/s to 11.2 MP/s, albeit with some caveats.

The problem with the SIMD instructions in the LX7 other than them being very poorly documented – unless you sign an NDA with Cadence –  is that it misses many instructions that would be really useful. For [Shranav] the lack of support for direct misaligned reads and comparing of unsigned 8-bit numbers were hurdles, but could be worked around, with the results available on GitHub.

Much of the groundwork for this SIMD implementation was laid by [Larry Bank], who reverse-engineered the SIMD instructions from available documentation and code samples, finding that the ESP32-S3 misses quite a few common SIMD instructions, including various shifts and unaligned reads and writes. Still, it’s good enough for quite a few tasks, as long as you can make it work with the available instructions.

By kallerna - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=122952945

ChatGPT And Other LLMs Produce Bull Excrement, Not Hallucinations

In the communications surrounding LLMs and popular interfaces like ChatGPT the term ‘hallucination’ is often used to reference false statements made in the output of these models. This infers that there is some coherency and an attempt by the LLM to be both cognizant of the truth, while also suffering moments of (mild) insanity. The LLM thus effectively is treated like a young child or a person suffering from disorders like Alzheimer’s, giving it agency in the process. That this is utter nonsense and patently incorrect is the subject of a treatise by [Michael Townsen Hicks] and colleagues, as published in Ethics and Information Technology.

Much of the distinction lies in the difference between a lie and bullshit, as so eloquently described in [Harry G. Frankfurt]’s 1986 essay and 2005 book On Bullshit. Whereas a lie is intended to deceive and cover up the truth, bullshitting is done with no regard for, or connection with, the truth. The bullshitting is only intended to serve the immediate situation, reminiscent of the worst of sound bite culture.

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Apple May Use Electrical Debonding For Battery Replacement

As a result of the European Union’s push for greater repairability of consumer devices like smartphones, Apple sees itself forced to make the batteries in the iPhone user-replaceable by 2027. Reportedly, this has led Apple to look at using electroadhesion rather than conventional adhesives which require either heat, isopropyl alcohol, violence, or all of the above to release. Although details are scarce, it seems that the general idea would be that the battery is wrapped in metal, which, together with the inside of the metal case, would allow for the creation of a cationic/anionic pair capable of permanent adhesion with the application of a low-voltage DC current.

This is not an entirely wild idea. Tesa has already commercialized it in the electrical debonding form of its Debonding on Demand product. This uses a tape that’s applied to one side of the (metal) surfaces, with a 5 bar pressure being applied for 5 seconds. Afterwards, the two parts can be released again without residue as shown in the above image. This involves applying a 12V DC voltage for 60 seconds, with the two parts afterward removable without force.

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