Microsoft is tinkering with the idea of a triple-panel Surface handheld, a “Surface Trio”, if you will. However, apart from offering an additional display, it differs in another significant way too.

A team of Viennese researchers has developed what likely amounts to the future of classical computing: Intelligent transistors. By tapping into the element Germanium, these transistors are much more efficient and can reduce the number of transistors required for the same computational work by a staggering 85%.
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Probabilistic modelling
Four major steps are entailed in generating successful probabilistic modelling through the Bean Machine. The modelling is based on generative techniques, the data collected from Python dictionaries where it is associated with random variables. The learning step improves the model’s knowledge based on observations, and the results are stored for further analysis.
Through probabilistic modelling, engineers and data scientists can account for random events in future predictions while measuring different uncertainties. This method is preferred because it offers uncertainty estimation, expressivity, and interpretability facilities. Let’s discuss these.
I seek to recognize Einstein before everyone knows that they are an Einstein. There left us 1 spot at the codegen team (works on Codex 2.0) and the language team (works on GPT-4). https://grnh.se/68b9465f4us
WHEN OLIVER TSCHAUNER AND COLLEAGUES dusted off a sample of volcano-ejected diamond found in a South African mine, they had no idea that they were holding the first-ever natural sample of a new high-pressure mineral from deep within Earth.
While minuscule, researchers predict that this mineral is responsible for the movement of crucial components like rare earth metals and radioactive isotopes through the Earth’s mantle. To figure this out, the team turned to X-ray beams and lasers.
Using x-rays and lasers, scientists have analyzed the second-ever high-pressure mineral extracted from the earth’s lower mantle.