One of the world’s largest investment banks, JPMorgan, is preparing to employ a robot to work in its global equities business because it’s shown itself to be more efficient than traditional methods of buying and selling, according to a report on the Financial Times website.
The artificial intelligence-based algorithm, which is called LOXM, has been tested in the US and Asia over the first quarter of this year, adds the FT.
The newspaper quotes David Fellah, of JPMorgan’s European Equity Quant Research team, as saying the work LOXM will do was previously done by humans, “but now the AI machine is able to do it on a much larger and more efficient scale”.
Kiva Systems was a company that built a mobile robot for logistics operations, mainly for use in warehouses. It was a basically a small platform on wheels, and proved popular throughout the industry.
But then it got bought out by Amazon, which initially said it would still sell it to the rest of the logistics industry but actually didn’t. Instead it rebranded Kiva as Amazon Robotics and turned it into a business unit of its own.
The online retail giant now has one of the largest number of robots in operation of any company in the world.
An industrial technology integrator called Universal Logic says it has receieved a large order for 60 of its specially designed robotic work cells.
The company has developed a software-intense work cell which it calls Neocortex, aimed at supply chains and logistics operations which require automated material handling systems for high-mix, high volume applications.
A robot developed by the MIT university could help bring down the enormous costs of laying underground and undersea cables.
The machine is being called RoboClam – because it was based on how clams behave – is a relatively small device and it’s been called “the Ferrari of underwater diggers” because it’s particularly good at digging through soft, watery soil, or sand.
Universities are doing a lot of interesting work in the area of robotics, and Massachusetts Institute of Technology and Stanford are two of the most active in the field.
Both universities showed similar robots this week, MIT’s being a bottle-shaped device which checks pipes and Stanford’s one a machine which is said to grow like a vine.
According to DigitalTrends.com, MIT’s PipeGuard team recently won $10,000 in the university’s competition and swims through pipes to detect any problems.
The YouTube video for the device (above) describes as a “leak detection robot for city water distribution systems”.
Stanford, which also made a video (below) of its strange plant- or worm-like organic robot, if it can be called that, said its invention “could be useful in search and rescue and medical applications”.
Commercial customers for the robots are probably already lined up and perhaps the two teams could spin out into startup companies.
Fanuc says its new arc welding robot Arc Mate 100iD is “extremely compact” and is the next generation of the Arc Mate Robot Series
The new Arc Mate 100iD welding robot is the first model of the new Arc Mate series, succeeding its predecessor Arc Mate 100iC/12.
As of September 2017, the Arc Mate 100iD can be ordered and will be publicly displayed at these two trade shows in Germany: EMO in Hannover and Schweissen & Schneiden in Düsseldorf.
Matteo Ferrari, arc welding and laser robot product manager at Fanuc Europe, says: “The new Arc Mate 100iD welding robot reaches remarkable productivity improvements for clients thanks to its superior motion performance, decreased installation efforts and ownership costs due to its seamless integration with weld process equipment. Continue reading Fanuc launches ‘extremely compact’ new arc welding robot
A human eye transmits data to the brain at a rate of approximately 10 million bits a second, which is about the equivalent of the capacity of some Ethernet connections.
This was the finding of a study by researchers at the University of Pennsylvania School of Medicine, and while that may be debatable, and perhaps doesn’t tell the whole story of the complexity of the human eye, it’s probably a widely accepted idea that our eyes collect and transmit more data than do our other “sensors”, if they can be called that – the ones for sound, touch, smell and taste – which, with sight, make up our five human senses.