The world’s most advanced four-legged robot finally sees in color.
Category: robotics/AI – Page 1,700
Doing More with Spot
Over the last couple of years, we’ve continued to make improvements to Spot to better enable our customers. Today we’re adding to the list! https://bit.ly/3y68Ow1
Finally, Spot’s charger is now smarter and faster, bringing Spot’s newest battery models to full capacity in an hour or less. Users can refer to the OLED display for real-time information on battery charge and can continue to charge the robot directly or hot-swap batteries for continuous operation.
Expanded Payload Ecosystem
The robot itself is just one piece of the puzzle. The full Spot solution includes the community, customization options, and collaboration ecosystem that helps deliver the most value from the robot. Through Boston Dynamics and our partners, customers can outfit Spot with a variety of payloads, including additional cameras, sensors, laser scanners, and more. These payloads, paired with specialized software, enable Spot to collect and process the data that gives industrial teams valuable insights into what’s happening in their facilities. This ecosystem is constantly evolving, and today we are excited to announce two new pieces of hardware that will enable next-level computation, radio communications, and 5G connectivity.
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.
The Hollywood A.I.-I.P. Supernova
AI take over of entertainment industry by about 2030. Already starting, and already messy.
Will the robots replace us all one day? Who knows, but chances are they will eventually learn how to create a superhero movie. Ergo, the start of one of the great legal debates in Hollywood history.
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.