Lifeboat Foundation

Recycling options and technology are slowly emerging as millions of tons of solar panels reach their end of life, threatening to fill landfills.

Artificial Intelligence will gift us with more benefits and advantages than any other invention or discovery in history. On that, everyone agrees.

But it will also require more skills and mastery than anything else. It will place that onus not just on each of us, but also on those in leadership positions who will have to see to their individual transformations and to the transformations of their organizations.

In my previous post (Forbes.com — 8/10/23) I discussed 11 skills necessary for the AI user. In consultation with six respected colleagues, we compiled a sweeping overview of the skill set we’ll all to be effective AI users. No tech involved in that list, just user skills.

A fundamental goal in the field of sensory neuroscience is to understand the complex mechanisms that underlie the neural code responsible for processing natural visual scenes. In neuroscience, a fundamental yet unresolved question is how neural circuits are developed in natural settings by the interaction of multiple cell types. The eyes have evolved to communicate information about natural visual scenes using a wide range of interneurons, which is crucial for transmitting visual information to the brain.

Retina’s functioning is largely based on research into how it reacts to artificial stimuli like flashing lights and noise. These might not accurately represent how the retina interprets actual visual data. The complexity of how these more than 50 different types of interneurons contribute to retinal processing has yet to be fully understood despite the fact that different computations have been detected using such methods. In a recent research paper, a group of researchers has made a significant advancement by showing that a three-layer network model is capable of predicting retinal responses to natural sceneries with amazing precision, almost exceeding the bounds of experimental data. The researchers wanted to understand how the brain processes natural visual scenes, so they focussed on the retina, which is part of the eye that sends signals to the brain.

This model’s interpretability, i.e., the ability to comprehend and examine its internal organization, is one of its key characteristics. There is a strong correlation between the responses of interneurons that were directly included in the model and those that were separately recorded. This suggests that the model captures significant aspects of the retinal interneuron activity. It successfully reproduces a wide range of motion analysis, adaptability, and predictive coding phenomena when they are just trained on natural scenes. On the other hand, models trained on white noise cannot reproduce the same set of events, supporting the idea that examining natural sceneries is necessary to comprehend natural visual processing.

DC District Court Judge Beryl A. Howell says human beings are an “essential part of a valid copyright claim.”

United States District Court Judge Beryl A. Howell ruled on Friday that AI-generated artwork can’t be copyrighted.

Thaler had tried multiple times to copyright the image “as a work-for-hire to the owner of the Creativity Machine,” which would have listed the author as the creator of the work and Thaler as the artwork’s owner, but he was repeatedly rejected.

Continue reading “AI-generated art cannot be copyrighted, rules a US Federal Judge” »

The machine complements the work of skilled doctors without replacing them.

Surgical robots that can assist in medical procedures are increasingly gaining traction as they help doctors perform better and allow patients to heal faster.

There’s the famous DaVinci Surgery system that is equipped with highly dexterous robot arms that can be manipulated to complete precise cutting and stitching. In the UK, robots are helping thousands of women plagued by the painful womb condition endometriosis while in Canada robot-assisted deep brain stimulation surgeries are aiding patients suffering from epilepsy.

The dataset was part of a larger project called The Pile, which aimed to provide open-source data for language models.

A massive collection of pirated books that were used to train artificial intelligence models.

The Eye complied with a takedown request from Rights Alliance, a group that represents publishers and authors in Denmark… More.

Continue reading “Anti-piracy group shuts down Books3, a popular dataset for AI models” »

The shuttle is electric and has no driver’s seat or steering wheel.

San Francisco has launched a new service that lets people ride a driverless shuttle around Treasure Island, a former naval base in the middle of the bay. The free shuttle, which runs daily on a fixed route, is part of a pilot program to test how autonomous vehicles can improve public transportation.

Credits: AP Photo/Terry Chea.

Continue reading “San Francisco launches driverless bus services on Treasure Island” »

The state, known as the Machida-Shibata state, involves the pairing of electrons in an artificial atom on the surface of a superconductor.

A team of physicists from Hamburg University has made a breakthrough in the field of quantum physics by observing a rare state of matter that was predicted by Japanese theorists more than half a century ago.

Credits: EzumeImages/iStock.

Continue reading “Pairing of electrons in an artificial atom leads to a breakthrough” »

Amidst rife competition from the likes of OpenAI, Baidu, and Microsoft, Google looks into the possibility of creating innovative tools using generative AI to create personalized life coaches.

In the ever-intensifying race to dominate the field of artificial intelligence, tech giant Google has been making significant strides to stand at the forefront.

Earlier this year, Google merged its London-based research lab, DeepMind, with its Silicon Valley-based artificial intelligence team, Brain, marking a pivotal move in its endeavor to harness generative AI technology.