Prototype is the first realization of a scalable, hardware-efficient quantum computing architecture based on bosonic quantum error correction.
AI-powered precision in medicine is helping to enhance the accuracy, efficiency, and personalization of medical treatments and healthcare interventions. Machine learning models analyze vast datasets, including genetic information, disease pathways, and past clinical outcomes, to predict how drugs will interact with biological targets. This not only speeds up the identification of promising compounds but also helps eliminate ineffective or potentially harmful options early in the research process.
Researchers are also turning to AI to improve how they evaluate a drug’s effectiveness across diverse patient populations. By analyzing real-world data, including electronic health records and biomarker responses, AI can help researchers identify patterns that predict how different groups may respond to a treatment. This level of precision helps refine dosing strategies, minimize side effects, and support the development of personalized medicine where treatments are tailored to an individual’s genetic and biological profile.
AI is having a positive impact on the pharmaceutical industry helping to reshape how drugs are discovered, tested, and brought to market. From accelerating drug development and optimizing research to enhancing clinical trials and manufacturing, AI is reducing costs, improving efficiency, and ultimately delivering better treatments to patients.
A Shenzhen-based humanoid robot maker said it has deployed “dozens of robots” in an electric vehicle (EV) factory where they work together on complicated tasks, offering a peek into the future of Made-in-China tech as artificial intelligence (AI) and robotics technologies are applied to empower manufacturing.
Hong Kong-listed UBTech Robotics said on Monday that it has completed a test to deploy dozens of its Walker S1 robots in the Zeekr EV factory in the Chinese port city of Ningbo for “multitask” and “multi site” operations.
According to photos and videos provided by UBTech, the human-shaped robots work as a team to complete tasks such as lifting heavy boxes and handling soft materials.
Nokia is deploying its 4G/LTE network on the moon and would be the first network to offer lunar communication system.
A 46,000-year-old worm frozen in Siberian permafrost has been brought back to life, revealing new insights into survival in extreme conditions.
Many people who have spinal cord injuries also have dramatic tales of disaster: a diving accident, a car crash, a construction site catastrophe. But Chloë Angus has quite a different story. She was home one evening in 2015 when her right foot started tingling and gradually lost sensation. She managed to drive herself to the hospital, but over the course of the next few days she lost all sensation and control of both legs. The doctors found a benign tumor inside her spinal cord that couldn’t be removed, and told her she’d never walk again. But Angus, a jet-setting fashion designer, isn’t the type to take such news lying—or sitting—down.
Ten years later, at the CES tech trade show in January, Angus was showing off her dancing moves in a powered exoskeleton from the Canadian company Human in Motion Robotics. “Getting back to walking is pretty cool after spinal cord injury, but getting back to dancing is a game changer,” she told a crowd on the expo floor.
Imagine that malignant brain tumors are not the unbridled chaos of unchecked growth we think they are, but they are actually communicating with brain cells in very specific ways. That’s what Stanford neuroscientist Michelle Monje MD, PhD, discovered about certain types of brain cancer (called gliomas), including a deadly childhood form called DIPG. It turns out that these tumors can form connections with the brain’s circuitry (just like brain cells do) in order to fuel their own growth. But it’s not just cancers that start in the brain that are doing this. Monje and Stanford researcher Julien Sage, PhD, discovered that a type of cancer that starts in the lungs also engages in this form of hijacking when it spreads to the brain. This is important because we now have significant insight into the process of tumor growth. And these findings help us better understand how we might be able to treat or stop these cancers altogether. For more information, read “Dangerous infiltrators” in Stanford Medicine magazine: https://stan.md/4gZHRh7
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A woman can see nearly 100 million more colors than the rest of us.
This extraordinary ability, known as tetrachromacy, arises from a rare genetic variation that influences the development of the retina, giving her an extra type of cone cell capable of detecting a broader spectrum of light.
While most people have three types of cone cells, allowing them to see around a million colors, tetrachromats have four, enabling them to perceive a staggering range of hues that remain invisible to the average person. For this woman, the world is a kaleidoscope of vibrant, nuanced colors. Ordinary scenes, such as a pathway of pebbles, transform into a dazzling array of oranges, yellows, greens, blues, and pinks, while others see only dull gray.
However, tetrachromacy is not always a blessing. The overwhelming array of colors in environments like grocery stores can be distressing, as the sheer intensity of visual information becomes exhausting. She finds solace in the simplicity of white surfaces, which provide a rare respite from the constant flood of color. Tetrachromacy is thought to be exclusive to women due to its genetic basis. The genes responsible for red and green cone cells are located on the X chromosome. Women, with two X chromosomes, can carry different versions of these genes, potentially resulting in four distinct cone types. While approximately 12% of women may have the genetic potential for tetrachromacy, only a small fraction exhibit the enhanced color perception associated with the condition. Researchers identified the first tetrachromat in 2010. Since then, others have described experiencing a world filled with richer and more nuanced colors.
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Meta has unveiled the next iteration of its sensor-packed research eyewear, the Aria Gen 2. This latest model follows the initial version introduced in 2020. The original glasses came equipped with a variety of sensors but lacked a display, and were not designed as either a prototype or a consumer product. Instead, they were exclusively meant for research to explore the types of data that future augmented reality (AR) glasses would need to gather from their surroundings to provide valuable functionality.
In their Project Aria initiative, Meta explored collecting egocentric data—information from the viewpoint of the user—to help train artificial intelligence systems. These systems could eventually comprehend the user’s environment and offer contextually appropriate support in daily activities. Notably, like its predecessor, the newly announced Aria Gen 2 does not feature a display.
Meta has highlighted several advancements in Aria Gen 2 compared to the first generation:
The Bajau tribe of Indonesia have become the first known humans to genetically adapt to diving.
The tribe live an extremely amphibious life, and have now been proven to possess the genetic makeup to do so.
Living off the coasts of Indonesia for more than 1,000 years, the Bajau people live in houseboats, spending a high quantity of their lives in the sea.