Lifeboat Foundation

Rocks and minerals contribute essential raw materials for any civilization, and in a technological society minerals (and the rare elements they contain) are especially sought after. In the past, most discoveries of mineral deposits have resulted from perseverance and luck.

In the last 200 years scientists realized that minerals are not distributed randomly. Many of the over 5,000 different minerals occurring on Earth exist in a so-called paragenesis. A paragenesis is a mineral assemblage formed under specific physico-chemical rules, like a certain chemical composition of the host rock or when the right conditions — like temperature and pressure — are met.

A machine learning model can predict the locations of minerals on Earth — and potentially other planets — by taking advantage of patterns in mineral associations.

Continue reading “How AI Can Help Find New Minerals On Earth And Other Planets” »

Self-driving efforts today focus on particular niches, such as the urban robotaxi, delivery, trucking or freeeway driving. Other than Tesla, most major players don’t have a focus on the general personal robocar — a car which consumers will buy, which will drive them door to door on city streets and most other roads. Tesla is very far behind other teams, and barely counts in the minds of many in the industry, thought it gets the most press. A few startups pursue the full robocar dream, but thinking has changed.

In spite of that perceived dream, that is not what the industry is building, or what it is going to release for some time. It may be some time before you can buy a car for yourself with this ability, not just because it’s hard, but because it’s not where the money is. This has led some people to think that robocars are still very far away, and also to a common perception that the technology is many years behind what people expected. Indeed, some people expected, or at least hoped for, faster timelines, but others did not.

The public has a different perception, in part because of Tesla, but also because of a document written over a decade ago by NHTSA (the federal road safety agency) and now manged by the Society of Automotive Engineers known as “the levels.” This document filled the need for a taxonomy of self-driving, but it was written by non-developers when the technology was immature. As such it’s largely useless and even counterproductive, but people are so hungry for a taxonomy that it still is often referred to. The leading teams (mostly tech companies not auto OEMs) do not use these level or attempt to adhere to them. They are mostly a way to talk about the dwindling role of the human in the operation of a self-driving car, a bit like a document about the role of the horse in the horseless carriage.

Generative AI in supply chains will be able to forecast demand, predict when trucks need maintenance and work out optimal shipping routes, according to analysts.“AI may be able to totally (or nearly) remove all human touchpoints in the supply chain including ‘back office’ tasks,” said Morgan Stanley analysts.

But “Generative AI, in my mind is, once in a lifetime kind of disruption that’s going to happen … so there are going to be losses of jobs in the more traditional setting, but I also believe it’s going to create new jobs like every prior technology disruption has,” said Navneet Kapoor, chief technology and information officer at shipping giant Maersk.

Artificial intelligence is likely… More.

Continue reading “A.I. could ‘remove all human touchpoints’ in supply chains. Here’s what that means” »

It’s complicated. So we reached out to legal experts for some definitive answers.

For years, machine learning has been used to analyse human languages or decode ancient communication. Now scientists are harnessing the power of artificial intelligence (AI) to decode animal languages, making two-way communication with another species more likely than ever before. Video by: Pedro Films and Tree House Productions Executive Producer: Camelia Sadeghzadeh.

There are already countless songs on Spotify, Apple Music, and SoundCloud. And as tunes become easier to create, anyone can add to the copyright din.

As AI image generators continue to rock visual industries such as photography and illustration, Nikon is taking a stand against AI and on behalf of humans, cameras, and “natural intelligence.” Little Black Book reports that Nikon Peru recently partnered with the ad agency Circus Grey Peru on a new “Natural Intelligence” ad campaign.

Even though AI can now generate photorealistic images with just a simple text prompt, Nikon wants to remind everyone that the real world is full of incredible scenes that are best captured with a camera rather than imagined with AI.

Any Asimov fans in the house?

Chatgpt and other generative ais graded.

Through better sensing, Yuhan Hu hopes to bring robots and humans closer together.