Fish farming is big business – the industry now produces about 100 million tonnes a year – and with salmon prices soaring, producers are turning to lasers, automation and artificial intelligence to boost production and cut costs.
How do you know if farmed salmon have had enough to eat?
Well, according to Lingalaks fish farms in Norway, which produce nearly three million salmon each year, the fish make less noise once the feeding frenzy is over.
The firm knows this thanks to a new hydro-acoustic system it has installed at one of its farms. The system listens to the salmon sloshing loudly about as they feed in a cluster. When the fish have had enough, they swim off and the noise lessens.
1) The article talks about “robo-feeders”, but really all the feeders are doing is providing food at a certain time and then stopping when the noise decreases. What other applications could there be for something like this?
Amazon recently won patents for wristbands that could be used as part of an inventory system, communicating with equipment in warehouses and nudging employees via vibrations if, for example, they were about to place items in the wrong bins. But in a world where the legal limits on gathering and using people’s data remain largely undefined, use of such devices could quickly turn nefarious, some experts say.
In a May study of 553 IT decision makers, 78% said they thought it was at least somewhat likely that their businesses would suffer data loss or theft enabled by IoT devices. Some 72% said the speed at which IoT is advancing makes it harder to keep up with evolving security requirements.
While most advertising on the web is respectful of user experience, over the years we’ve increasingly heard from our users that some advertising can be particularly intrusive. As we announced last June, Chrome will tackle this issue by removing ads from sites that do not follow the Better Ads Standards.
If you’re like many Tableau customers, you have large buckets of data stored in Amazon S3. You might need to access this data frequently and store it in a consistent, highly structured format. If so, you can provision it to a data warehouse like Amazon Redshift. You might also want to explore this S3 data on an ad hoc basis. For example, you might want to determine whether or not to provision the data, and where—options might be Hadoop, Impala, Amazon EMR, or Amazon Redshift. To do so, you can use Amazon Athena, a serverless interactive query service from AWS that requires no infrastructure setup and management.
Economists have been puzzled in recent years by the so-called “productivity paradox,” the fact that the digital revolution of the past four decades hasn’t resulted in big gains in output per worker as happened with earlier technological upheaval. Many developed economies have actually seen productivity stagnate or decline.
Kate Chan, a 30-year-old digital marketer in Silicon Valley, first approached dating apps with a blend of curiosity and hope that they’d help her find a great guy. But after six months of dead-end mismatches with guys she thought were boring or work-obsessed, she has gone back to what she called “meeting the old-fashioned way”: without a screen. She now meets guys at do-it-yourself crafting meetups and her rock-climbing gym. “I didn’t want to rely on the algorithms anymore,” she said. “When it comes down to it, I really have to see that person face to face, to get that intuition, that you don’t get in a digital way.”
As companies rely more on machine learning and artificial intelligence (AI) to find the right job candidates, is recruitment in danger of losing that personal touch? Peter Lane, a 21-year-old who graduated last summer from Cardiff University with a degree in History, is hoping to get into business consulting. He’s applied for 55 jobs and secured around 15 interviews, but believes technology has hindered rather than helped his search. The interviews weren’t what he was expecting.