An intuitive modeling interface for infinite-dimensional optimization problems. — infiniteopt/InfiniteOpt.jl
Near 99 percent accuracy of bug patching in python programming language.
Repilot, a patch generation tool introduced in the ESEC/FSE’23 paper “Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair”
Year 2023
LLMs trained with a finite attention window can be extended to infinite sequence lengths without any fine-tuning.
Some excellent food for thought face_with_colon_three
We now have everything we need to build a physics engine with infinite precision.
In this part, we’ve seen how to use the Python SymPy package to find the low-level expressions needed to create a perfect physics engine for our 2-D worlds of circles and wall. We found the expressions for the time when two objects will just touch (if they ever do). When they do touch, we found the expressions for their new velocities.
By going through the details, we saw:
Organ-like groups of cells can be grown from amniotic fluid samples and offer hope for studying congenital conditions.
Two teams of researchers studying a galaxy through NASA’s James Webb Space Telescope have made multiple discoveries, including spotting the most distant active supermassive black hole ever found.
The teams were studying a galaxy known as GN-z11, an “exceptionally luminous” system that was formed when our 13.8 billion-year-old universe was only about 430 million years old, making it one of the youngest ever observed, NASA said in a news release. Scientists have been trying to find out what makes the distant galaxy so bright, and in doing so discovered the far-off black hole and a gas clump that could indicate rare stars.
The black hole was found by researchers from the Cavendish Laboratory and the Kavli Institute of Cosmology at the University of Cambridge in the United Kingdom using the telescope’s near-infrared camera. They determined the structure was a supermassive black hole, the largest type of black hole. It’s the most distant black hole of this size ever seen.
A medieval astronomical instrument discovered entirely by accident has turned out to be a powerful record of cross-cultural scientific collaboration.
The brass astrolabe dates back to 11th century Spain – but was subsequently engraved with annotations and amendments over the centuries, in multiple languages, as changing owners adapted and updated it for their own use.
The object is, therefore, not just a rare artifact, but almost unique: a palimpsest that records changing ideas and needs of its users as the world and context changes.
The CD4+ T cells of Rheumatoid arthritis patients have increased expression and concentration of ALOX5, the newly discovered target of Zileuton | Drug Discovery And Development.
The human brain has billions of neurons. Working together, they enable higher-order brain functions such as cognition and complex behaviors. To study these higher-order brain functions, it is important to understand how neural activity is coordinated across various brain regions.
Although techniques such as functional magnetic resonance imaging (fMRI) are able to provide insights into brain activity, they can show only so much information for a given time and area. Two-photon microscopy involving the use of cranial windows is a powerful tool for producing high-resolution images, but conventional cranial windows are small, making it difficult to study distant brain regions at the same time.
Now, a team of researchers led by the Exploratory Research Center on Life and Living Systems (ExCELLS) and the National Institute for Physiological Sciences (NIPS) have introduced a new method for in vivo brain imaging, enabling large-scale and long-term observation of neuronal structures and activities in awake mice.
In a recent review published in the Journal of Human Genetics, a group of authors explored the potential of deep learning (DL), particularly convolutional neural networks (CNNs), in enhancing predictive modeling for omics data analysis, addressing challenges and future research directions.
Study: Advances in AI and machine learning for predictive medicine. Image Credit: NicoElNino/Shutterstock.com.