Researchers created insect-inspired autonomous navigation strategies for tiny, lightweight robots. Tested on a 56-gram drone, the system enables it to return home after long journeys using minimal computation and memory.
Drone racing has been used to test neural networks for future space missions. This project aims to autonomously manage complex spacecraft maneuvers, optimizing onboard operations and enhancing mission efficiency and robustness.
Nowadays, users can create DEMs with just one click, thanks to radar satellites providing continuous, high-precision data on the Earth's surface and increasingly fast and accessible open-source software. This allows for effective monitoring of terrain changes and natural phenomena.
Nemotron-4 340B is an advanced model family for synthetic data generation and AI alignment. Trained on 9 trillion tokens, it excels in optimizing performance and ensuring data quality, significantly enhancing AI capabilities across various industries.
With the significant rise in UAV usage in recent years, concerns about their safety have also increased. In this regard, a new system has been developed that leverages computer vision and deep learning algorithms to accurately and quickly detect and track drones.
AI learnt to decode dog barks, identifying playful versus aggressive barks, as well as the dog’s age, sex, and breed. Originally trained on human speech, AI models have achieved impressive accuracy, offering significant advancements in animal care and communication research.
The solar-powered Zephyr drone has set world records for endurance and altitude, staying aloft for 64 days at heights of up to 75,000 feet. With applications ranging from earth observation to mobile phone base stations, Zephyr provides critical connectivity in remote areas.
Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. The end game? An entirely new way to forecast weather based on artificial intelligence that can run on a desktop computer.
Researchers from the MIT Computer Science and Artificial Intelligence Laboratory and Google Research have seemingly performed magic with their latest creation: a diffusion model that can alter the material properties of objects in images.
During the Spring Update event OpenAI’s presented GPT-4о – the unique omnimodel that integrates text, audio and image processing, allowing it to work faster and more efficiently than ever before.
SenseTime Group's latest AI model, SenseNova 5.0, has sparked a surge in market interest with its impressive advancements, including enhanced knowledge processing, mathematical reasoning, and linguistic abilities.
Llama 3, Meta AI's latest advancement, boasts unmatched language understanding, enhancing its capacity for complex tasks. With expanded vocabulary and advanced safety features, the model ensures improved performance and versatility.
Explore the forefront of AI music synthesis with Udio and Suno platforms. Music generators enable users to effortlessly generate full-fledged songs across diverse genres while offering customizable features for experimenting with styles and crafting original melodies in seconds.
Мachine "unlearning" allows generative AI to selectively forget problematic data without extensive retraining. This method can ensure compliance with legal and ethical standards while maintaining creative capabilities of image-to-image models.
Google’s DeepMind developed a new method for long-form factuality in large language models, – Search-Augmented Factuality Evaluator (SAFE). The AI fact-checking tool has demonstrated impressive accuracy rates, outperforming human fact-checkers.