#machine learning and artificial intelligence

[usaii]

An Intriguing Love Story for the Digital Age | USAII®

Read an interesting take on the strengthening consonance between data, artificial intelligence, and machine learning. Learn how it unfolds and solidifies the cord ahead!

Read more: https://shorturl.at/f05JK

[reasonsforhope]

"The first satellite in a constellation designed specifically to locate wildfires early and precisely anywhere on the planet has now reached Earth's orbit, and it could forever change how we tackle unplanned infernos.

The FireSat constellation, which will consist of more than 50 satellites when it goes live, is the first of its kind that's purpose-built to detect and track fires. It's an initiative launched by nonprofit Earth Fire Alliance, which includes Google and Silicon Valley-based space services startup Muon Space as partners, among others.

According to Google, current satellite systems rely on low-resolution imagery and cover a particular area only once every 12 hours to spot significantly large wildfires spanning a couple of acres. FireSat, on the other hand, will be able to detect wildfires as small as 270 sq ft (25 sq m) – the size of a classroom – and deliver high-resolution visual updates every 20 minutes.

The FireSat project has only been in the works for less than a year and a half. The satellites are fitted with custom six-band multispectral infrared cameras, designed to capture imagery suitable for machine learning algorithms to accurately identify wildfires – differentiating them from misleading objects like smokestacks.

These algorithms look at an image from a particular location, and compare it with the last 1,000 times it was captured by the satellite's camera to determine if what it's seeing is indeed a wildfire. AI technology in the FireSat system also helps predict how a fire might spread; that can help firefighters make better decisions about how to control the flames safely and effectively.

This could go a long way towards preventing the immense destruction of forest habitats and urban areas, and the displacement of residents caused by wildfires each year. For reference, the deadly wildfires that raged across Los Angeles in January were estimated to have cuased more than $250 billion in damages.

Muon is currently developing three more satellites, which are set to launch next year. The entire constellation should be in orbit by 2030.

The FireSat effort isn't the only project to watch for wildfires from orbit. OroraTech launched its first wildfire-detection satellite – FOREST-1 – in 2022, followed by one more in 2023 and another earlier this year. The company tells us that another eight are due to go up toward the end of March."

-via March 18, 2025

[disease]

Frank Rosenblatt, often cited as the Father of Machine Learning, photographed in 1960 alongside his most-notable invention: the Mark I Perceptron machine — a hardware implementation for the perceptron algorithm, the earliest example of an artificial neural network, est. 1943.

[gynoidgearhead]

we need to come up for a good word for ""AI"" that doesn't imply it's artificial or intelligent and highlights the stolen human labor. like what if we call it "theftgen"

(workshop this with me)

[why-ai]

[incognitopolls]

For the purposes of this poll, research is defined as reading multiple non-opinion articles from different credible sources, a class on the matter, etc.– do not include reading social media or pure opinion pieces.

Fun topics to research:

Can AI images be copyrighted in your country? If yes, what criteria does it need to meet?

Which companies are using AI in your country? In what kinds of projects? How big are the companies?

What is considered fair use of copyrighted images in your country? What is considered a transformative work? (Important for fandom blogs!)

What legislation is being proposed to ‘combat AI’ in your country? Who does it benefit? How does it affect non-AI art, if at all?

How much data do generators store? Divide by the number of images in the data set. How much information is each image, proportionally? How many pixels is that?

What ways are there to remove yourself from AI datasets if you want to opt out? Which of these are effective (ie, are there workarounds in AI communities to circumvent dataset poisoning, are the test sample sizes realistic, which generators allow opting out or respect the no-ai tag, etc)

–

We ask your questions so you don’t have to! Submit your questions to have them posted anonymously as polls.

[textsearchbradleycarlgeigerbrad]

TEXT SEARCH BRADLEY CARL GEIGER AND BRAD GEIGER AND EVERYTHING ASSOCIATED

BRAD GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRADLEY CARL GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRAD GEIGER AND WIKIPEDIA

BRADLEY CARL GEIGER AND WIKIPEDIA

[tumbler-polls]

[zooplekochi]

They call it "Cost optimization to navigate crises"

[nixcraft]

[hermanlowelillyrobertchamberlain]

HERMAN LOWE LILLY ROBERT CHAMBERLAIN

[herigo]

[reasonsforhope]

"An international research team has found almost a million potential sources of antibiotics in the natural world.

Research published in the journal Cell by a team including Queensland University of Technology (QUT) computational biologist Associate Professor Luis Pedro Coelho has used machine learning to identify 863,498 promising antimicrobial peptides -- small molecules that can kill or inhibit the growth of infectious microbes.

The findings of the study come with a renewed global focus on combatting antimicrobial resistance (AMR) as humanity contends with the growing number of superbugs resistant to current drugs.

"There is an urgent need for new methods for antibiotic discovery," Professor Coelho, a researcher at the QUT Centre for Microbiome Research, said. The centre studies the structure and function of microbial communities from around the globe.

"It is one of the top public health threats, killing 1.27 million people each year." ...

"Using artificial intelligence to understand and harness the power of the global microbiome will hopefully drive innovative research for better public health outcomes," he said.

The team verified the machine predictions by testing 100 laboratory-made peptides against clinically significant pathogens. They found 79 disrupted bacterial membranes and 63 specifically targeted antibiotic-resistant bacteria such as Staphylococcus aureus and Escherichia coli.

"Moreover, some peptides helped to eliminate infections in mice; two in particular reduced bacteria by up to four orders of magnitude," Professor Coelho said.

In a preclinical model, tested on infected mice, treatment with these peptides produced results similar to the effects of polymyxin B -- a commercially available antibiotic which is used to treat meningitis, pneumonia, sepsis and urinary tract infections.

More than 60,000 metagenomes (a collection of genomes within a specific environment), which together contained the genetic makeup of over one million organisms, were analysed to get these results. They came from sources across the globe including marine and soil environments, and human and animal guts.

The resulting AMPSphere -- a comprehensive database comprising these novel peptides -- has been published as a publicly available, open-access resource for new antibiotic discovery.

[Note: !!! Love it. Open access research databases my beloved.]"

-via Science Daily, June 5, 2024

[automaticclappingxboxterminator]

AUTOMATIC CLAPPING XBOX TERMINATOR GENISYS

[disease]

Garry Kasparov, world champion chess player, succumbing to his public defeat by Deep Blue, IBM: a 'supercomputer' in development at the time. — MAY 11, 1997