The European Space Agency is developing a sample retrieval system using neural networks, aiming to collect and transport samples from Mars. The challenging mission of returning samples gathered by Perseverance rover is considered crucial for unlocking the mysteries of the Red Planet.
Generative AI is revolutionizing the world of gaming by transforming virtual characters and enhancing their conversational skills. The NVIDIA Avatar Cloud Engine (ACE) for Games empowers developers to infuse intelligence into NPCs, reshaping gaming experiences and pushing the boundaries of what is possible.
Researchers are working on a more effective way to train machines for uncertain, real-world situations. A new algorithm will decide when a “student” machine should follow its teacher, and when it should learn on its own.
A new architecture aims to overcome the existing limitations of neural networks and symbolic AI. Developed model already demonstrates high effectiveness in solving logical problems and provides a promising framework for integrating different AI paradigms.
The meminductor joins the previously discovered memristors and memcapacitors in a line of circuit elements that can store and recall previous current or voltage values.
Solar cells based on hybrid organic-inorganic perovskites are a rapidly developing area of alternative energy. These molecules initiated the development of a new class of photovoltaic devices – perovskite solar cells.
The researchers used a diverse set of simple image generation programs to create a dataset for training a computer vision model. This approach can improve the performance of image classification models trained on synthetic data.
Researchers developed a new approach to motion modeling using relative position change. They evaluated the ability of deep neural networks architectures to model motion using motion recognition and prediction tasks.
Researchers designed a new AI algorithm that is designed to visualize data clusters and other macroscopic features in a way that they are as distinct, easy to observe and human-understandable as possible.
Scholars has developed DetectGPT that can distinguish AI-generated text from human-written text 95% of the time for popular open source LLMs.
Researchers have recently created a new neuromorphic computing system supporting deep belief neural networks (DBNs) - a generative and graphical class of deep learning models.
A team of scientists has developed a machine learning solution to forecast amine emissions from carbon-capture plants using experimental data from a stress test performed at an actual plant in Germany.
Scientists have developed the first bio-realistic artificial neuron that can effectively interact with real biological neurons.
Scientists presented a smart bionic finger that can create 3D maps of the internal structure of materials by touching their exterior surface.
The wireless soft e-skin can both detect and transmit the sense of touch, and form a sensory network, which opens up great possibilities for improving interactive sensory communication.