This image shows the three-dimensional genome structures of several chromosomes reported in a Dip-C study, which were used to train the new ChromoGen model.
The research team, led by Professor Tobin Filleter, has engineered nanomaterials that offer unprecedented strength, weight, and customizability. These materials are composed of tiny building blocks, or repeating units, measuring just a few hundred nanometers – so small that over 100 lined up would barely match the thickness of a human hair.
The researchers used a multi-objective Bayesian optimization machine learning algorithm to predict optimal geometries for enhancing stress distribution and improving the strength-to-weight ratio of nano-architected designs. The algorithm only needed 400 data points, whereas others might need 20,000 or more, allowing the researchers to work with a smaller, high-quality data set. The Canadian team collaborated with Professor Seunghwa Ryu and PhD student Jinwook Yeo at the Korean Advanced Institute of Science & Technology for this step of the process.
This experiment was the first time scientists have applied machine learning to optimize nano-architected materials. According to Peter Serles, the lead author of the project’s paper published in Advanced Materials, the team was shocked by the improvements. It didn’t just replicate successful geometries from the training data; it learned from what changes to the shapes worked and what didn’t, enabling it to predict entirely new lattice geometries.
*First broadcast on April 11, 2024. After a slow start, Japanese washing machines have become some of the most advanced in the world. We look at their development and the latest innovations.
SoftBank is negotiating a $500 million investment in Skild AI, a software company building a foundational model for robotics at a $4 billion valuation, Bloomberg and Financial Times reported.
The 2-year-old company raised its previous funding round of $300 million at a $1.5 billion valuation last July from investors, including Jeff Bezos, Lightspeed Venture Partners, and Coatue Management.
The company’s AI model can be applied to various types of robots, Skild founders Deepak Pathak and Abhinav Gupta told TechCrunch last July. They said the generalized model can be modified for a specific domain and use case.
A study found that Streptococcus anginosus, a common mouth and gut bacterium, is more prevalent in stroke patients and linked to higher stroke risk and mortality. Streptococcus anginosus, a bacterium commonly found in the mouth and gastrointestinal tract, may be present in high levels in the gut.
Engineers have developed SUPER, a high-speed MAV, using 3D LiDAR and AI for real-time obstacle avoidance, cutting failure rates 35.9 times.
Researchers from Stanford University are working on solar panel technology that works at night, which is one of the biggest challenges of solar power.
In the face of seabeds becoming valuable real estate and corroding bombs polluting the oceans, teams are turning to technology to clean up this dangerous and expensive problem.
For their study published in the journal Nature Medicine, the group generated thousands of articles containing misinformation and inserted them into an AI training dataset and conducted general LLM queries to see how often the misinformation appeared.
Prior research and anecdotal evidence have shown that the answers given by LLMs such as ChatGPT are not always correct and, in fact, are sometimes wildly off-base. Prior research has also shown that misinformation planted intentionally on well-known internet sites can show up in generalized chatbot queries. In this new study, the research team wanted to know how easy or difficult it might be for malignant actors to poison LLM responses.
Our body isn’t just human—it’s home to trillions of microorganisms found in or on us. In fact, there are more microbes in our gut than there are stars in the Milky Way. These microbes are essential for human health, but scientists are still figuring out exactly what they do and how they help.
In a new study, published in Nature Microbiology, my colleagues and I explored how certain gut bacteria—a group known as Enterobacteriaceae—can protect us from harmful ones. These bacteria include species such as Escherichia coli (E coli). This is normally harmless in small amounts but can cause infections and other health problems if it grows too much.
We found that our gut environment—shaped by things like diet—plays a big role in keeping potentially harmful bacteria in check.