Scientists are wielding algorithms in hopes of understanding how the mighty mammals communicate.
It was 1970 when marine biologist Roger Payne first brought the mesmerizing sound of humpback whales to a wide audience via the celebratedalbum. Back then, the possibility of deciphering those eerie vocalizations seemed a far-out idea plucked straight from science fiction.
Intrigued, Goldwasser asked Gruber to share some recordings with her group and suggested that they could set up a project to understand what those haunting, otherworldly noises actually meant. Although she meant that more as a joke, Gruber thought it was an idea worth exploring. He approached machine learning expert Michael Bronstein, also a Radcliffe fellow, to learn whether artificial intelligence could be used for that purpose.
That was enough for a proof of concept. Using Gero’s dataset, Bronstein tasked an NLP algorithm with detecting whales by their clicks and running it to a sample of recordings. The algorithm correctly identified the specific whales Identifying patterns in whale talk, estimated Andreas, will take “roughly one billion clicks, or 100 to 200 million codas.” Gero’s Dominica Sperm Whale Project database currently contains around 100,000 entries.
France Dernières Nouvelles, France Actualités
Similar News:Vous pouvez également lire des articles d'actualité similaires à celui-ci que nous avons collectés auprès d'autres sources d'information.
AI Wrote Better Phishing Emails Than Humans in a Recent TestMore people clicked the links in the AI-generated messages than the human-written ones—by a significant margin. (From 2021)
Lire la suite »
The Genius Neuroscientist Who Might Hold the Key to True AIKarl Friston believes he has identified nothing less than the organizing principle of all life, and all intelligence as well—and he may have. But to understand it, you need to peer inside the mind of Friston himself. (From 2018)
Lire la suite »
Ai Weiwei helped design Beijing's Olympic stadium. But he regrets how it's being used today'Unfortunately, as an architect, you cannot control how the building is being used,' Ai told Christiane Amanpour in the interview, which airs Friday. 'For me it's a big disappointment, not only in how it's being used but also in the directions China (has taken) in past decades.'
Lire la suite »
Strict Literal Interpretation Is A Hardheaded Drawback Of Machine Learning And Likewise Bad For AI Self-Driving CarsExisting AI and Machine Learning is stuck at doing literal interpretation and lacks any common-sense, which bodes for great concerns and especially when it comes to the advent of self-driving cars.
Lire la suite »
What Happens to Mobile Apps When AI and Machine Learning Join Forces? | HackerNoon'What Happens to Mobile Apps When AI and Machine Learning Join Forces?' mobileapps mobileappdevelopment
Lire la suite »
‘Robot Dogs' Will Help Protect US-Mexico Border: CPBThe U.S. government continues to strengthen border security to prevent the illegal crossing of immigrants into the country, which has been on the rise year after year, as well as to reduce the presence of human smugglers, drug smugglers and violence.
Lire la suite »