Month: December 2023

Enlarge / NREL has taken some of the hassle out of getting permits for projects like these. (credit: owngarden)

Can government agencies develop software to help cut bureaucratic red tape through automation? The answer is “yes,” according to the promising results achieved by the National Renewable Energy Laboratory (NREL), which has saved thousands of hours of labor for local governments by creating a tool called SolarAPP+ (Solar Automated Permit Processing Plus) for residential solar permits.

“We estimate that automatic SolarAPP+ permitting saved around 9,900 hours of… staff time in 2022,” NREL staff wrote in the report, “SolarAPP+ Performance Review (2022 Data). “Based on median timelines, a typical SolarAPP+ project is permitted and inspected 13 business days sooner than traditional projects… SolarAPP+ has eliminated over 134,000 days in permitting-related delays.”

SolarAPP+ automates over 100 compliance checks in the permitting process that are usually the responsibility of city, county, or town employees, according to Jeff Cook, SolarAPP+ program lead at NREL and first author of the report. It can be more accurate, thorough, and efficient than a time-pressured local government employee would be.

Enlarge / NREL has taken some of the hassle out of getting permits for projects like these. (credit: owngarden)

Can government agencies develop software to help cut bureaucratic red tape through automation? The answer is “yes,” according to the promising results achieved by the National Renewable Energy Laboratory (NREL), which has saved thousands of hours of labor for local governments by creating a tool called SolarAPP+ (Solar Automated Permit Processing Plus) for residential solar permits.

“We estimate that automatic SolarAPP+ permitting saved around 9,900 hours of… staff time in 2022,” NREL staff wrote in the report, “SolarAPP+ Performance Review (2022 Data). “Based on median timelines, a typical SolarAPP+ project is permitted and inspected 13 business days sooner than traditional projects… SolarAPP+ has eliminated over 134,000 days in permitting-related delays.”

SolarAPP+ automates over 100 compliance checks in the permitting process that are usually the responsibility of city, county, or town employees, according to Jeff Cook, SolarAPP+ program lead at NREL and first author of the report. It can be more accurate, thorough, and efficient than a time-pressured local government employee would be.

Enlarge (credit: Getty Images)

I like the idea of drawing the year to a close with some good news for a change, and I think maybe the US Environmental Protection Agency does as well. On Wednesday, the EPA published its Automotive Trends Report, which now included data for model-year 2022 vehicles.

And the data is good: record-low carbon emissions and record-high fuel economy, and the biggest improvement year on year for almost a decade.

For MY2022, the EPA says that the average real-world CO₂ emissions for all new vehicles fell by 10 g/mile to 337 g/mile, the lowest average it has ever measured. Similarly, real-world fuel economy increased by 0.6 mpg for MY2022, to 26 mpg—this, too, is a record high and the single-largest year-on-year improvement for both CO₂ and mpg for nine years.

Enlarge (credit: Getty Images)

I like the idea of drawing the year to a close with some good news for a change, and I think maybe the US Environmental Protection Agency does as well. On Wednesday, the EPA published its Automotive Trends Report, which now included data for model-year 2022 vehicles.

And the data is good: record-low carbon emissions and record-high fuel economy, and the biggest improvement year on year for almost a decade.

For MY2022, the EPA says that the average real-world CO₂ emissions for all new vehicles fell by 10 g/mile to 337 g/mile, the lowest average it has ever measured. Similarly, real-world fuel economy increased by 0.6 mpg for MY2022, to 26 mpg—this, too, is a record high and the single-largest year-on-year improvement for both CO₂ and mpg for nine years.

Enlarge / The iPhone 15 Pro. (credit: Apple)

Apple’s latest research about running large language models on smartphones offers the clearest signal yet that the iPhone maker plans to catch up with its Silicon Valley rivals in generative artificial intelligence.

The paper, entitled “LLM in a Flash,” offers a “solution to a current computational bottleneck,” its researchers write.

Its approach “paves the way for effective inference of LLMs on devices with limited memory,” they said. Inference refers to how large language models, the large data repositories that power apps like ChatGPT, respond to users’ queries. Chatbots and LLMs normally run in vast data centers with much greater computing power than an iPhone.

Enlarge / The iPhone 15 Pro. (credit: Apple)

Apple’s latest research about running large language models on smartphones offers the clearest signal yet that the iPhone maker plans to catch up with its Silicon Valley rivals in generative artificial intelligence.

The paper, entitled “LLM in a Flash,” offers a “solution to a current computational bottleneck,” its researchers write.

Its approach “paves the way for effective inference of LLMs on devices with limited memory,” they said. Inference refers to how large language models, the large data repositories that power apps like ChatGPT, respond to users’ queries. Chatbots and LLMs normally run in vast data centers with much greater computing power than an iPhone.

Enlarge / Look at this very good boy taking a test to determine the origin of his spatial bias for a study on how dogs think. (credit: Eniko Kubinyi)

Research has shown that if you point at an object, a dog will interpret the gesture as a directional cue, unlike a human toddler, who will more likely focus on the object itself. It's called spatial bias, and a recent paper published in the journal Ethology offers potential explanations for why dogs interpret the gesture the way that they do. According to researchers at Eötvös Loránd University in Hungary, the phenomenon arises from a combination of how dogs see (visual acuity) and how they think, with "smarter" dog breeds prioritizing an object's appearance as much as its location. This suggests the smarter dogs' information processing is more similar to humans.

The authors wanted to investigate whether spatial bias in dogs is sensory or cognitive, or a combination of the two. "Very early on, children interpret the gesture as pointing to the object, while dogs take the pointing as a directional cue," said co-author Ivaylo Iotchev. "In other words, regardless of the intention of the person giving the cue, the meaning for children and dogs is different. This phenomenon has previously been observed in dogs using a variety of behavioral tests, ranging from simple associative learning to imitation, but it had never been studied per se."

Their experimental sample consisted of dogs used in a previous 2018 study plus dogs participating specifically in the new study, for a total of 82 dogs. The dominant breeds were border collies (19), vizslas (17), and whippets (6). Each animal was brought into a small empty room with their owner and one of the experimenters present. The experimenter stood 3 meters away from the dog and owner. There was a training period using different plastic plates to teach the dogs to associate either the presence or absence of an object, or its spatial location, with the presence or absence of food. Then they tested the dogs on a series of tasks.