A powerful new AI tool Manus is making waves in China, fueling hopes that it could replicate the success of DeepSeek, which earlier this year rattled the global tech industry with its state-of-the-art chatbot.

Two women from Mexico and Ecuador who spent years fighting to be recognized as victims of online sexual violence have inspired an artificial intelligence chatbot that helps others facing abuse.

Korea Institute of Civil Engineering and Building Technology has developed "Generative AI-Based Inspection Technology" to safely construct and maintain urban underground highways.

The global sprint to develop artificial intelligence technologies is intensifying, fueled by substantial investments from both public and private sectors keen to maintain a competitive edge in the AI era.

A review explores the role of AI in engineering, assessing the benefits and challenges of the synergy between the two fields. A 2004 DARPA contest pitted AI vehicles against one another in a race on 150 miles of dirt roads. The best-performing vehicle made it less than eight miles of the way. The next year, five vehicles finished a 132-mile course, and today driverless cabs are active in several major cities.

A new Chinese artificial intelligence agent billed as able to work independently from humans has sent insiders buzzing—some with concern and others with disappointment.

In today's economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine work, which is inherently uncertain. Automated interventions can help workers understand their work and boost performance and trust.

In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with silicon solar cells, they could play a role in the next generation of photovoltaic systems. Now researchers at KIT have demonstrated that machine learning is a crucial tool for improving the data analysis needed for commercial fabrication of perovskite solar cells. They present their results in Energy & Environmental Science.

Scientists say they have developed a new AI-assisted model of a digital twin with the ability to adapt and control the physical machine in real time.

AI models often rely on "spurious correlations," making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem.

The computer scientists Rich Sutton and Andrew Barto have been recognized for a long track record of influential ideas with this year's Turing Award, the most prestigious in the field. Sutton's 2019 essay The Bitter Lesson, for instance, underpins much of today's feverishness around artificial intelligence (AI).

Earlier this year I received comments on an academic manuscript of mine as part of the usual peer review process, and noticed something strange.

Since the onset of the COVID-19 pandemic, workers have spent countless hours in videoconferences—now a fixture of office life. As more people work and live remotely, videoconferencing platforms such as Zoom, MS Teams, FaceTime, Slack, and Discord are a huge part of socializing among family and friends as well.

What if we told you that artificial intelligence (AI) systems such as ChatGPT don't actually learn? Many people we talk to are genuinely surprised to hear this.

A tale of good versus evil played out on the large screen in the sanctuary of St. Paul's Lutheran church in Finland. Jesus was shown in robes with long hair and a beard, while Satan was dressed in more modern clothes but with a menacing frown and higher-pitched voice—all created by artificial intelligence.

Hyperspectral imaging is a technology that detects slight differences in color to pinpoint the characteristics and conditions of an object. While a normal camera creates images using red, green, and blue, a hyperspectral camera can obtain over 100 images in the visible to near-infrared light range in a single shot. As a result, hyperspectral imaging can obtain information that the human eye cannot see.

Producing high-performance titanium alloy parts—whether for spacecraft, submarines or medical devices—has long been a slow, resource-intensive process. Even with advanced metal 3D-printing techniques, finding the right manufacturing conditions has required extensive testing and fine-tuning.

Imagine that a robot is helping you clean the dishes. You ask it to grab a soapy bowl out of the sink, but its gripper slightly misses the mark.

Home Depot has rolled out an online concierge, powered by generative artificial intelligence, to help answer customers' questions about millions of products and even how to get projects done.

AI applications such as large language models (LLMs) have become an integral part of our everyday lives. The required computing, storage and transmission capacities are provided by data centers that consume vast amounts of energy. In Germany alone, this amounted to about 16 billion kWh in 2020, or around 1% of the country's total energy consumption. For 2025, this figure is expected to increase to 22 billion kWh.

For over 30 years, science photographer Felice Frankel has helped MIT professors, researchers, and students communicate their work visually. Throughout that time, she has seen the development of various tools to support the creation of compelling images: some helpful, and some antithetical to the effort of producing a trustworthy and complete representation of the research.

Neural networks, a type of artificial intelligence modeled on the connectivity of the human brain, are driving critical breakthroughs across a wide range of scientific domains. But these models face significant threat from adversarial attacks, which can derail predictions and produce incorrect information.

A team of AI researchers at Palisade Research has found that several leading AI models will resort to cheating at chess to win when playing against a superior opponent. They have published a paper on the arXiv preprint server describing experiments they conducted with several well-known AI models playing against an open-source chess engine.

Christie's first auction of art made by artificial intelligence (AI) ended Wednesday with mixed results, providing scant clues as to the future of the new and controversial medium.

Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

Amazon's Prime Video streaming service announced Wednesday it will begin testing AI-assisted dubbing to make its international content more accessible to viewers worldwide.

Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award.

Researchers at the Carnegie Mellon University Robotics Institute and the Massachusetts Institute of Technology (MIT), created CHARCHA ( Computer Human Assessment for Recreating Characters with Human Actions), a secure and personalized verification protocol that allows an individual's likeness to appear in generative video content. The team was inspired to create CHARCHA to respond to ethical issues in generative AI, such as unauthorized deepfakes. The research is published on the arXiv preprint server.

How do AI-generated ad slogans compare to those created by professionals? New University of Minnesota research suggests that the pros tend to connect better with consumers, but AI tools may perform just as well by adopting certain strategies.

Nikita Belyakov and Svetlana Illarionova, researchers from the Skoltech AI Center, presented a new method for semantic segmentation of multispectral data, which can be used to recognize clouds, shadows, and snow patches in satellite images. This approach will increase the accuracy of recognizing complex climatic structures in images without additional human involvement in data annotation.