Large language models (LLMs) can synthesize vast amounts of information. Luo et al. show that LLMs—especially BrainGPT, an LLM the authors tuned on the neuroscience literature—outperform experts in predicting neuroscience results and could assist scientists in making future discoveries.
Scientists from Karlsruhe Institute of Technology (KIT) and the Indian Institute of Technology Guwahati (IITG) have developed a surface material that repels water droplets almost completely. Using an entirely innovative process, they changed metal-organic frameworks (MOFs)—artificially designed materials with novel properties—by grafting hydrocarbon chains.
The resulting superhydrophobic (extremely water-repellent) properties are interesting for use as self-cleaning surfaces that need to be robust against environmental influences, such as on automobiles or in architecture. The study was published in the journal Materials Horizons.
MOFs (metal-organic frameworks) are composed of metals and organic linkers that form a network with empty pores resembling a sponge. Their volumetric properties—unfolding two grams of this material would yield the area of a football pitch—make them an interesting material in applications such as gas storage, carbon dioxide separation, or novel medical technologies.
From smart textiles to self-driving cars: Empa researchers are developing new types of detectors for infrared radiation that are more sustainable, flexible and cost-effective than conventional technologies. The key to success is not (only) the composition of the material, but also its size.
This study explores the development of Group-IV semiconductor lasers for cryogenic applications, demonstrating continuous-wave operation at low current densities and highlighting the potential for integration into silicon-based photonic systems.
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The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.
Southeast Asia’s emerging economies are vying to become a top AI hub — a race that has them both coming together and, quietly, battling among themselves.
The Association of Southeast Asian Nations (ASEAN), made up of 10 countries with a combined population of 672 million people, already has some advantages when compared to Europe or the U.S.
With over 200 million people aged 15 to 34, the region’s youthful and largely tech savvy populations make the region adaptable to future technological advances. That, combined with government support for accelerating AI in the region, could deliver substantial rewards for local workers.
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using IdeogramI recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below:
Ultra-sensitive detectors have observed neutrinos from the Sun, whose signals mimic those expected to be produced by elusive dark matter.
Facebook, Instagram, Threads, and WhatsApp suffered a massive worldwide Wednesday afternoon, with services impacted in varying degrees based on user’s region.
According to DownDetector, the outage occurred at approximately 12:40 PM ET, with many users unable to access the services through the websites and apps or send messages through WhatsApp.
When users attempted to access Facebook, they were greeted with errors stating, “Sorry, something went wrong. We’re working on getting this fixed as soon as we can.”
Australian-led research is unlocking new ways for immunotherapy to better target cancer. Cancer immunotherapy has revolutionized treatment for patients, whereby the body’s own immune system is harnessed to destroy cancer cells.
Typically, several molecules restrain the ability of T cells to target cancer cells and developing approaches to limit this restraining effect can lead to improved effectiveness of cancer immunotherapy.
Research published in Science Immunology has determined the structure of how an inhibitory molecule, LAG3, interacts with its main ligand and provides a new targeted approach to improving the effectiveness of immunotherapy for certain forms of cancer.
