A German startup is pioneering remote driving technology, offering a unique alternative to autonomous vehicles. By utilizing human drivers operating from remote locations, the company provides cost-effective rides and vehicle delivery services. This innovative approach is gaining traction, with a growing fleet and thousands of completed rides.
In 2025, we’ll see more AI agents entering the workforce, transforming workflows by simplifying, enhancing, and automating tasks across industries.
NeuroXess, a Chinese startup, has made two major breakthroughs in brain-computer interface (BCI) technology, coming to the aid of a brain-damaged patient. The first was its ability to decode thoughts to speech in real time, and the other was remotely controlling a robot arm using thoughts alone.
Testing of the startup’s new BCI also enabled the user to talk to an artificial intelligence (AI) model and operate a digital avatar. These tests are result of an experiment undertaken in August 2024 at Huashan Hospital, where neurosurgeons implanted a 256-channel, high-throughput flexible BCI device into the patient’s brain.
Profluent unveils Protein2PAM AI model to design CRISPR systems targeting more of human genome, CEO Ali Madani announces. Tool predicts PAM sequences for expanded gene editing.
Using AI training, researchers designed a “robot dog” that moves like a cat, and has no trouble navigating low-gravity environments.
Depth degradation is a problem biologists know all too well: The deeper you look into a sample, the fuzzier the image becomes. A worm embryo or a piece of tissue may only be tens of microns thick, but the bending of light causes microscopy images to lose their sharpness as the instruments peer beyond the top layer.
To deal with this problem, microscopists add technology to existing microscopes to cancel out these distortions. But this technique, called adaptive optics, requires time, money, and expertise, making it available to relatively few biology labs.
Now, researchers at HHMI’s Janelia Research Campus and collaborators have developed a way to make a similar correction, but without using adaptive optics, adding additional hardware, or taking more images. A team from the Shroff Lab has developed a new AI method that produces sharp microscopy images throughout a thick biological sample.
Researchers at Duke University have uncovered the molecular inner workings of a material that could underpin next-generation rechargeable batteries.
Unlike today’s popular lithium-ion batteries that feature a liquid interior, the lithium-based compound is a solid at operational temperatures. But despite its rigid interior structure, charged ions are still able to quickly travel through, making it a “super ionic” material. While researchers have been interested in this compound for some time, they have not known how lithium ions are able to pass through its solid crystalline structure so easily.
The new results answer many standing questions, showing surprising liquid-like behavior at the atomic level. With these insights in hand, as well as the machine learning models used to obtain them, researchers are set to explore similar recipes to solve many of the field’s long-standing challenges.
AI algorithms analyzes the OAM spectrum and intensity patterns of twisted light as it propagates through a turbulent medium, enabling the detection of the key features of the medium.
A breakthrough in artificial intelligence.
Artificial Intelligence (AI) is a branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. These tasks include understanding natural language, recognizing patterns, solving problems, and learning from experience. AI technologies use algorithms and massive amounts of data to train models that can make decisions, automate processes, and improve over time through machine learning. The applications of AI are diverse, impacting fields such as healthcare, finance, automotive, and entertainment, fundamentally changing the way we interact with technology.
A new training technique could increase the number of physical systems that could serve as AI platforms.
Artificial General Intelligence is on its way in 2025. What does this mean for schools and the education system?