A new AI system, Sturgeon, is redefining brain tumor surgeries.
Sturgeon is a pretrained neural network that uses incremental results from nanopore sequencing to rapidly classify central nervous system tumours and can be used to aid critical decision-making during surgery.
Tesla CEO Elon Musk confirmed the company has begun to introduce the latest version of its ‘Full Self-Driving’ (FSD) semi-autonomous software in the US, with its ‘beta’ title – which refers to a product being tested by consumers – to be dropped.
Mr Musk confirmed Tesla employees are the first to experience the new system.
Known as version 12 (or v12), the new FSD could signify a major technological step forward in the industry – allowing the car’s computers to make its own judgements based on what its cameras see, rather than relying on “hard-coded programming”, website Not a Tesla App reports.
Brain chips are no longer science fiction. They have become a reality and are transforming lives thanks to technological advancements, which allow a computer to decode brain signals, deduce human intentions, and finally enact them directly through a machine.
These systems that are making it possible are called BCI or a brain-computer interface, which studies signals from brain activity. Neuralink is the most well-known company in this field, creating a generalized brain interface to unlock human potential.
Continue reading “AI Inside: Brain Chips Pioneering the Next Leap in Human Evolution” »
Will AI now move faster and be less controlled?
It seems that the chaotic events of the last week at OpenAI have sped everything up, according to most observers.
Those warning about the risks of AI lost the battle on the drama over the control of 90 billion’s start-up OpenAI as two of the three external board members were replaced, and the outed CEO Sam Altman was reinstated.
AI agents are what they ingest. Rather than scraping the internet, it would be better to confine their diets to books and encyclopedias, says Sorin Adam Matei.
Data is the vital force of large AI models, and thus of the industry itself. But it’s also a finite resource — and companies could run out.
GPT-4 for radiology.
As the benefits of AI in healthcare continue to emerge, we investigate GPT-4’s potential in radiology. Learn about research exploring GPT-4’s potential in assisting report structuring, classifying diseases, and generating comprehensive findings summaries:
Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.
The new study conducted by University of Illinois Urbana-Champaign civil and environmental engineering professor Shelly Zhang and graduate student Weichen Li, in collaboration with professor Tian Chen and graduate student Yue Wang from the University of Houston, uses computer algorithms, two distinct polymers, and 3D printing to reverse engineer a material that expands and contracts in response to temperature change with or without human intervention.
At an MIT event in March, OpenAI cofounder and CEO Sam Altman said his team wasn’t yet training its next AI, GPT-5. “We are not and won’t for some time,” he told the audience.
This week, however, new details about GPT-5’s status emerged.
In an interview, Altman told the Financial Times the company is now working to develop GPT-5. Though the article did not specify whether the model is in training—it likely isn’t—Altman did say it would need more data. The data would come from public online sources—which is how such algorithms, called large language models, have previously been trained—and proprietary private datasets.
