Lifeboat Foundation

Nightmare fuel? Maybe – but in a historic moment for the dental profession, an AI-controlled autonomous robot has performed an entire procedure on a human patient for the first time, about eight times faster than a human dentist could do it.

When I have described my rationale for the likelihood of the Economic Singularity, key to this has been the ability of this new form of machine intelligence to make decisions and to make plans.

SummaryTatiana Mamut, co-founder of Wayfound AI, explains that AI agents are like human workers with the ability to interact and make decisions on their own…

It’s half the company’s sales.

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Emerging technologies of today have the power to reshape industries, achieve significant scale, and shift the economic landscape.

From AI-driven advancements in disease detection to carbon-capturing microbes, these technologies stand to improve future society. Meanwhile, greater efficiencies in wireless connectivity allow networks to drive higher data rates and enhance robust communications across 6G networks and the industrial internet-of-things.

\t\t \t\t\tGenerative artificial intelligence (AI) models like OpenAI’s GPT-4o or Stability AI’s Stable Diffusion are surprisingly capable at creating new text, code, images and videos. Training them, however, requires such vast amounts… \t\t.

AI eating its own tail: the risk of model collapse in generative systems.

BHP’s (ASX, NYSE: BHP) Spence copper mine in Chile has celebrated three months of being the company’s first fully autonomous operation, a status reached in April after a two-year journey that included converting its trucks fleet and drilling rigs.

Spence, which produced 249,000 tonnes of copper last year, is BHP’s second largest copper mine behind Escondida, the world’s biggest copper operation. In the three months to July 29, the copper operation has moved 80 million tonnes of material without any safety incidents, surpassing the production plan to date, BHP said.

For the first time, researchers have demonstrated that not just individual bits, but entire bit sequences can be stored in cylindrical domains: tiny, cylindrical areas measuring just around 100 nanometers. As the team reports in the journal Advanced Electronic Materials, these findings could pave the way for novel types of data storage and sensors, including even magnetic variants of neural networks.

Groundbreaking Magnetic Storage

“A cylindrical domain, which we physicists also call a bubble domain, is a tiny, cylindrical area in a thin magnetic layer. Its spins, the electrons’ intrinsic angular momentum that generates the magnetic moment in the material, point in a specific direction. This creates a magnetization that differs from the rest of the environment. Imagine a small, cylinder-shaped magnetic bubble floating in a sea of opposite magnetization,” says Prof. Olav Hellwig from Helmholtz-Zentrum Dresden-Rossendorf ’s Institute of Ion Beam Physics and Materials Research, describing the subject of his research. He and his team are confident that such magnetic structures possess a great potential for spintronic applications.

An AI model developed by scientists at King’s College London, in close collaboration with University College London, has produced three-dimensional, synthetic images of the human brain that are realistic and accurate enough to use in medical research.

The model and images have helped scientists better understand what the human brain looks like, supporting research to predict, diagnose and treat brain diseases such as dementia, stroke, and multiple sclerosis.

The algorithm was created using the NVIDIA Cambridge-1, the UK’s most powerful supercomputer. One of the fastest supercomputers in the world, the Cambridge-1 allowed researchers to train the AI in weeks rather than months and produce images of far higher quality.