Chinese scientists recently made history after fine-tuning a billion-parameter artificial intelligence large model on their independently developed quantum computer named Origin Wukong.
According to a report by Global Times, this quantum computer is powered by Wukong, a 72-qubit superconducting quantum chip.
The experiment was conducted at the Anhui Quantum Computing Engineering Research Center, where this computer is operated.
Google has quietly launched Firebase Studio, which is a cloud-based AI-powered integrated development environment that lets you build full-fledged apps using prompts.
Google’s Firebase Studio comes at an interesting time when Cursor AI is storming the “vibe coding” trend.
Cursor AI, reportedly valued at $10 billion, is an AI-powered integrated development environment that integrates AI features directly into the coding environment, so you can vibe code your app without programming knowledge.
Much as a pilot might practice maneuvers in a flight simulator, scientists might soon be able to perform experiments on a realistic simulation of the mouse brain. In a new study, Stanford Medicine researchers and collaborators used an artificial intelligence model to build a “digital twin” of the part of the mouse brain that processes visual information.
The digital twin was trained on large datasets of brain activity collected from the visual cortex of real mice as they watched movie clips. It could then predict the response of tens of thousands of neurons to new videos and images.
Digital twins could make studying the inner workings of the brain easier and more efficient.
Computer chips that combine the use of light and electricity are shown to increase computational performance, while reducing energy consumption, compared with conventional electronic chips. The photonic computing chips, described in two papers in Nature this week, might address the growing computing demands driven by advancing artificial intelligence technology.
Angiography is a widely used medical imaging technique that allows medical researchers and doctors to capture the vascular network (i.e., blood vessels) using contrast agents, substances that enhance the visibility of specific structures inside the body when exposed to X-rays or other imaging approaches. Conventional angiography techniques rely on contrast agents that are distributed through blood vessels, leveraging the natural flow of blood in the body.
Despite their widespread use, these approaches have significant limitations. For instance, they struggle to visualize upstream regions (i.e., regions in blood vessels that are against the direction of the blood flow) or areas that are blocked by materials (e.g., blood clots). This inability to visualize some regions limits the use of angiography for diagnosing and planning the treatment of some vascular conditions, including narrowed vessels, blood clots and abnormal connections between vessels.
Researchers at the Shenzhen Institute of Artificial Intelligence and Robotics for Society and the Chinese University of Hong Kong recently introduced a new method for exploring and reconstructing vascular networks utilizing swarms of magnetic microrobots. Their proposed approach, outlined in a paper published in Nature Machine Intelligence, enables the 3D imaging of vascular networks, including upstream regions and blocked areas.
Rapidly increasing data traffic is placing ever greater demands on the capacity of communication systems. In an article titled “Ultra-broadband optical amplification using nonlinear integrated waveguides” published in Nature, a research team from Chalmers University of Technology, in Sweden, introduce a new amplifier that enables the transmission of 10 times more data per second than those of current fiber-optic systems.
This amplifier, which fits on a small chip, holds significant potential for various critical laser systems, including those used in medical diagnostics and treatment.
The advancement of AI technology, the growing popularity of streaming services, and the proliferation of new smart devices are among the factors driving the expected doubling of data traffic by 2030. This surge is heightening the demand for communication systems capable of managing vast amounts of information.
Health care providers can use small devices to hover over moles or lesions and immediately check for common skin cancers, such as melanoma and basal cell carcinoma.
The most significant benefit is that health care professionals who do not specialize in dermatology could perform these checks during a routine visit, making early detection easier and quicker.
Skin cancer is the most common form of cancer in the United States, with one in five Americans expected to be affected in their lifetime, according to the City of Hope Cancer Center.
