Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning from tasks like camouflage detection, researchers improved the models’ ability to recognize tumors.

This study emphasizes explainability, enabling AI to highlight the areas it identifies as cancerous, fostering trust among radiologists and patients. While slightly less accurate than human detection, this method demonstrates promise for AI as a transparent tool in clinical radiology.

Each retraining may cost millions of dollars in computation.

New research shows that AI models need to be completely retrained to learn new concepts — which is an expensive problem for AI companies.

The eROSITA survey detected more than 170 million X-ray photons in just 6 months.

Astronomers have created the largest and most detailed X-ray map of the universe, revealing more than 900,000 deep-space objects. This map was produced using data from the eROSITA All-Sky Survey, an ambitious mission that scanned the sky between December 2019 and June 2020, detecting more than 170 million X-ray photons. These findings, including over 700,000 supermassive black holes, galaxy clusters, and other exotic objects, mark a significant leap forward in X-ray astronomy.

The eROSITA Mission The eROSITA X-ray telescope, managed by the Max Planck Society, aimed to capture a complete X-ray survey of the sky. Over six months, the survey gathered an unprecedented amount of data, identifying nearly 900,000 distinct celestial objects. This figure exceeds the number of sources detected by NASA’s Chandra and the European Space Agency’s XMM-Newton X-ray telescopes over the past 25 years combined.

In the last few months, the mask has really come off.

OpenAI is far from its days of being an altruistic, non-profit company.

It is now the face of a booming AI industry and is effectively for-profit in all but name, steaming ahead with little regard for its technology’s environmental toll, or for the potentially existential risks it poses to society.

But according to Gary Marcus, a cognitive scientist and prominent AI researcher, the worst is yet to come. In his assessment, OpenAI could soon take an even more dystopian pivot, à la George Orwell’s novel “1984,” by getting into the business of spying on you.

You might’ve heard comments about how western powers have been falling behind in the solar game. This chart shows how very real the Chinese dominance in that field is! Source:

The supply chain is key for the renewable energy revolution, and this chart visualizes where the world’s solar panels are manufactured.

The AIs are “getting better at pretending to be knowledgeable.”

As AI chatbots get bigger and more powerful, they are also lying more, instead of declining questions they can’t answer.

Once online in 2030, it will make modern speeds feel like dial-up.

A real stinker.

The trial, conducted by Amazon Web Services, was commissioned by the government regulator as a proof of concept for generative AI’s capabilities, and in particular its potential to be used in business settings.

That potential, the trial found, is not looking promising.

In a series of blind assessments, the generative AI summaries of real government documents scored a dire 47 percent on aggregate based on the trial’s rubric, and were decisively outdone by the human-made summaries, which scored 81 percent.

Can a process as complex as science be automated?

Scientific discovery is one of the most sophisticated human activities. First, scientists must understand the existing knowledge and identify a significant gap.

Next, they must formulate a research question and design and conduct an experiment in pursuit of an answer.

Then, they must analyse and interpret the results of the experiment, which may raise yet another research question.

They should not replace your doctor yet.

New research found that ChatGPT was only able to correctly diagnose less than half the medical cases it was asked to look at.