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DNA can do more than pass genetic code from one generation to the next. For nearly 20 years, scientists have known of the molecule’s ability to stabilize nanometer-sized clusters of silver atoms. Some of these structures glow visibly in red and green, making them useful in a variety of chemical and biosensing applications.

Stacy Copp, UCI assistant professor of materials science and engineering, wanted to see if the capabilities of these tiny fluorescent markers could be stretched even further—into the near-infrared range of the electromagnetic spectrum—to give bioscience researchers the power to see through living cells and even centimeters of biological tissue, opening doors to enhanced methods of disease detection and treatment.

“There is untapped potential to extend fluorescence by DNA-stabilized silver nanoclusters into the near-infrared region,” she says. “The reason that’s so interesting is because our biological tissues and fluids are much more transparent to near-infrared light than to visible light.”

It is incredible how people ignore unambiguous research. This piece takes a couple of minutes to explain why and what we can do about it, at least for ourselves.

The Way Out of Psychic Numbing.

The Way Out of Psychic Numbing

Paul Slovic observes the ‘psychic numbing’ of COVID-19
https://www.apa.org/members/content/covid-19-psychic-numbing.

#PsychicNumbing #ClimateChange #PandemicResponse

Mysterious radio wave pulses from deep in space have been hitting Earth for decades, but the scientists who recently discovered them have no concrete explanation for the origin of the signals.

For 35 years, the strange blasts of energy in varying levels of brightness have occurred like clockwork approximately every 20 minutes, sometimes lasting for five minute intervals. That’s what Curtin University astronomers from the International Centre for Radio Astronomy Research (ICRAR) concluded in research published last week in the journal Nature.

The discovery of the signal, which researchers named GPMJ1839-10, has the scientists baffled. Believed to be coming from around 15,000 light years away from Earth, the signal has been occurring at intervals and for a period of time previously thought to be impossible.

PhotoGuard, created by researchers at MIT, alters photos in ways that are imperceptible to us but stops AI systems from tinkering with them.

Remember that selfie you posted last week? There’s currently nothing stopping someone taking it and editing it using powerful generative AI systems. Even worse, thanks to the sophistication of these systems, it might be impossible to prove that the resulting image is fake.

The good news is that a new tool, created by researchers at MIT, could prevent this.

A couple of ex-Googlers set out to create the search engine of the future. They built something faster, simpler, and ad-free. So how come you’ve never heard of Neeva?

Sridhar Ramaswamy didn’t leave Google to build another search engine. At least not at first. At the close of his 15-year tenure at Google, Ramaswamy was running the company’s entire advertising division, overseeing more than 10,000 people — he knew better than most exactly how much work it took to do search well.

You almost can’t overstate how dominant Google is in search. Most studies put Google at about 90 percent of the global search market, and that number has been steadily climbing for 20 years. Google is the default search… More.


Neeva was faster, simpler, and ad-free. But making something better than Google isn’t enough to beat Google.

A few examples: McDonald’s chatbot recruiter “Olivia” cleared Claypool for an in-person interview, but then failed to schedule it because of technical issues. A Wendy’s bot managed to schedule her for an in-person interview but it was for a job she couldn’t do. Then a Hardees chatbot sent her to interview with a store manager who was on leave — hardly a seamless recruiting strategy.

“I showed up at Hardees and they were kind of surprised. The crew operating the restaurant had no idea what to do with me or how to help me,” Claypool, who ultimately took a job elsewhere, told Forbes. “It seemed like a more complicated thing than it had to be,” she said. (McDonald’s and Hardees didn’t respond to a comment request. A Wendy’s spokesperson told Forbes the bot creates “hiring efficiencies,” adding “innovation is our DNA.”)

Since the first High-Bandwidth Memory (HBM) stacks were introduced in 2013, these stacked memory chiplets have carved out a new, high-performance niche for DRAM in the memory hierarchy. The first products to incorporate HBM started to appear in 2015. You will now find HBM stacks in high-end CPUs, GPUs, and FPGAs, where performance matters more than cost to the end customer. Although HBM is not as fast as SRAM, it is faster than bulk DDR memory, and it’s getting even faster. Micron has just announced what the company is calling a “second-generation” (Gen 2) HBM3 DRAM that adheres to the semiconductor industry’s “bigger, better, faster” mantra. Because it integrates higher-density DRAM die, Micron’s HBM3 Gen 2 can be 50 percent bigger (higher capacity) than existing HBM3 DRAM available from other memory vendors, with 2.5x better performance/power ratings and 50 percent faster speed (1.2Tbytes/second). That’s the DRAM industry’s equivalent of a trifecta.

HBM is akin to a chiplet skyscraper. Each HBM stack consists of a logic die, which contains a system interface and DRAM control, with multiple DRAM die stacked on top of the logic die. The entire stack is designed to be incorporated into an IC package along with larger semiconductor die and other, smaller chiplets. You’ll find earlier HBM generations incorporated into server CPUs from AMD and Intel, FPGAs from AMD and Intel, and GPUs from AMD, Intel, and Nvidia. The most recent announcement of a GPU containing HBM is AMD’s MI300X GPU, announced by the company’s CEO Lisa Su in June. (See “AMD Hops On The Generative AI Bandwagon With Instinct MI300X.”) Intel previously announced HBM use in the company’s Data Center GPU Max Series, the data center GPU formerly known as Ponte Vecchio. Nvidia’s H100 Hopper GPU also incorporates HBM memory stacks.

Micron has now entered the HBM3 race with what the company is calling a “second-generation” HBM3 design, because Micron’s version of an HBM3 stack is arriving about a year after competitive products, but is based on a faster, denser, more advanced semiconductor process node. The DRAM die in this Micron HBM3 stack is being fabricated with the company’s 1β process technology, which the company announced last year. During that announcement, the company claimed that the 1β process increased DRAM bit density by 35 percent and decreased power consumption by 15 percent, when compared to the company’s 1α node. At the time, Micron announced plans to use its 1β process node for manufacturing DDR5 and LPDDR5 DRAM. The company has now stated that they will use the same process node for manufacturing DRAM die for its HBM3 stacks.