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Startups apply artificial intelligence to supply chain disruptions

A growing group of startups and established logistics firms have created a multi-billion-dollar industry applying artificial intelligence and other cutting-edge… See more.


LONDON, May 3 (Reuters) — Over the last two years a series of unexpected events has scrambled global supply chains. Coronavirus, war in Ukraine, Brexit and a container ship wedged in the Suez Canal have combined to delay deliveries of everything from bicycles to pet food.

In response, a growing group of startups and established logistics firms has created a multi-billion dollar industry applying the latest technology to help businesses minimize the disruption.

Interos Inc, Fero Labs, KlearNow Corp and others are using artificial intelligence and other cutting-edge tools so manufacturers and their customers can react more swiftly to supplier snarl-ups, monitor raw material availability and get through the bureaucratic thicket of cross-border trade.

Fast-acting enzyme breaks down plastics in as little as 24 hours

The idea of deploying enzymes to break down plastic waste is gaining momentum through a string of breakthroughs demonstrating how they can do so with increasing efficiency, and even reduce the material to simple molecules. A new study marks yet another step forward, with scientists leveraging machine learning to engineer an enzyme that degrades some forms of plastic in just 24 hours, with a stability that makes it well-suited to large-scale adoption.

Scientists have been exploring the potential of enzymes to aid in plastics recycling for more than a decade, but the last six years or so has seen some significant advances. In 2016, researchers in Japan unearthed a bacterium that used enzymes to break down PET plastics in a matter of weeks. An engineered version of these enzymes, dubbed PETase, improved the performance further, and in 2020 we saw scientists develop an even more powerful version that digested PET plastics at six times the speed.

A team at the University of Texas set out to address some of the shortcomings of these enzymes so far. According to the scientists, the application of the technology has been held back by an inability to function well at low temperatures and different pH ranges, lack of effectiveness directly tackling untreated plastic waste, and slow reaction rates.

Methionine Restriction Extends Lifespan-What’s Optimal For Protein Intake? n=1 Analysis

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Papers referenced in the video:
Life-Span Extension in Mice by Preweaning Food Restriction and by Methionine Restriction in Middle Age.
https://pubmed.ncbi.nlm.nih.gov/19414512/

Low methionine ingestion by rats extends life span.
https://pubmed.ncbi.nlm.nih.gov/8429371/

Fasting glucose level and all-cause or cause-specific mortality in Korean adults: a nationwide cohort study.
https://pubmed.ncbi.nlm.nih.gov/32623847/

Total plasma homocysteine and cardiovascular risk profile. The Hordaland Homocysteine Study.
https://pubmed.ncbi.nlm.nih.gov/7474221/

Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age.

Meta AI announces long-term study on human brain and language processing

The same goes for artificial intelligence (AI) and machine learning (ML) models.

And just as the human brain created AI and ML models that grow increasingly sophisticated by the day, these systems are now being applied to study the human brain itself. Specifically, such studies are seeking to enhance the capabilities of AI systems and more closely model them after brain functions so that they can operate in increasingly autonomous ways.

Researchers at Meta AI have embarked on one such initiative. The research arm of Facebook’s parent company today announced a long-term study to better understand how the human brain processes language. Researchers are looking at how the brain and AI language models respond to the same spoken or written sentences.

Giant VR-operated humanoid robot used to fix power lines in Japan

The West Japan Rail Company (or JR West) unveiled its Gundam-style heavy equipment robot for carrying out repairs.

The robot takes on the appearance of a humanoid upper body mounted on the end of a hydraulic crane arm, which rides around on the rail system atop a specially braced rail car. The rail car can deploy stabilizing legs when it arrives at its destination along the line, allowing the robot to manipulate heavy equipment around the rail system instead of workers “to improve productivity and safety.”

NASA drops capsule from 1,200 feet to test Mars Sample Return

NASA has an ambitious plan to bring a piece of Mars back to Earth for study. Called the Mars Sample Return mission, the idea is to send a robotic team consisting of a lander, rover, and an ascent vehicle to the red planet to pick up samples being collected and sealed in tubes by the Perseverance rover. These samples will then be launched off the Martian surface and into orbit, where they’ll be collected and brought back to Earth.

If that sounds complicated, it is. NASA is working on some of the hardware required for this ambitious long-term mission, and recently the agency tested out a new design for the Earth Entry System vehicle which will carry the sample through our planet’s atmosphere and to the surface. And its test was a dramatic one — dropping a model of the vehicle from 1,200 feet and seeing if it survived.

The test was focused on the vehicle’s areoshell, testing out one possible design for the shell which has to protect the delicate electronics and sample inside from the heat and forces of passing through Earth’s atmosphere. To do this, the test was performed at the Utah Test and Training Range, where a helicopter ascended with a model of the vehicle and areoshell, called a Manufacturing Demonstration Unit (MDU), that was covered in sensors and measures 1.25 meters across. The MDU was then dropped by the helicopter and its descent was recorded. Coming from an altitude of 1,200 feet, the MDU reached the speeds that would be engineers think are equivalent to a sample landing mission.

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