DeepSeek is technically better than ChatGPT if you look at some obscure AI benchmarks. But most users won’t care; the models can do the same things.
How we can incorporate wearable data with routine clinical data to build an overall picture for individual patients.
Researchers at MIT created a novel cancer treatment using 3D-printed microparticles that combine heat and chemotherapy. In mouse studies, this dual therapy effectively eliminated tumors and improved survival rates compared to single treatments.
A recent study has found that the overexpression of telomerase reverse transcriptase (TERT), which is a subunit of telomerase, an enzyme essential for telomere maintenance, leads to lifespan extension in mice without significant side effects [1].
Protecting DNA
Telomere shortening is a well-known hallmark of aging. Telomeres are protective DNA sequences at the ends of the chromosomes. In most human cells, they become shorter with each division.
MIT Associate Professor Luca Carlone works to give robots a more human-like perception of their environment, so they can interact with people safely and seamlessly.
In Intel’s second “Behind this Door” video, take a sneak peek into fab D1X in Oregon to see what is likely the most complicated machine humans have built. An extreme ultraviolet (EUV) lithography system uses radically shorter wavelengths to project circuit patterns onto silicon wafers. The #EUV machine pushes Moore’s Law forward and #chip makers cannot produce leading-edge chips without it. (Credit: Intel Corporation)
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▶ Learn more on Intel’s EUV: https://intel.ly/3AeAKwz.
Notice: This video contains footage provided by external vendors who have their own safety and health policies. Moreover, some footage was recorded prior to the COVID outbreak when no pandemic-related mask or social-distancing policies were needed or in place.
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The arrival of a previously little-known Chinese tech company has attracted global attention as it sent shockwaves through Wall Street with a new AI chatbot. What is Deepseek? Sky’s Nicole Johnston and Tom Clarke explain.
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Researchers from Kyushu University, Japan have revealed how a special type of force within an atom’s nucleus, known as the three-nucleon force, impacts nuclear stability. The study, published in Physics Letters B, provides insight into why certain nuclei are more stable than others and may help explain astrophysical processes, such as the formation of heavy elements within stars.
All matter is made of atoms, the building blocks of the universe. Most of an atom’s mass is packed into its tiny nucleus, which contains protons and neutrons (known collectively as nucleons). Understanding how these nucleons interact to keep the nucleus stable and in a low energy state has been a central question in nuclear physics for over a century.
The most powerful nuclear force is the two–nucleon force, which attracts two nucleons at long range to pull them together and repels at short range to stop the nucleons from getting too close.
A team of stem cell scientists have successfully used embryonic stem cell engineering to create a bi-paternal mouse—a mouse with two male parents—that lived until adulthood.
Their results, published on January 28, 2025, in Cell Stem Cell, describe how targeting a particular set of genes involved in reproduction allowed the researchers to overcome previously insurmountable challenges in unisexual reproduction in mammals.
Scientists have attempted to create bi-paternal mice before, but the embryos developed only to a certain point and then stopped growing. Here, the investigators, led by corresponding author Wei Li of the Chinese Academy of Sciences (CAS) in Beijing, focused on targeting imprinting genes, which regulate gene expression in a number of ways.
One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term essentially describes the point after which a quantum computer can outperform a classical computer on a specific task or solve a problem that is beyond the reach of classical computers.
One task that could be used to demonstrate a quantum advantage, known as quantum random sampling, entails the generation of samples from a probability distribution. This task is very difficult for classical computers to perform, but it could theoretically be completed by quantum computers.
While past studies have successfully tackled random sampling tasks using quantum computers, actually verifying that a system effectively performs these tasks has proved challenging. This is because many existing verification techniques based on classical data are either too computationally demanding or difficult to apply to larger quantum systems.