New Gemini 2.5 capabilities Native audio output and improvements to Live API Today, the Live API is introducing a preview version of audio-visual input and native audio out dialogue, so you can directly build conversational experiences, with a more natural and expressive Gemini. It also allows the user to steer its tone, accent and style…
AI has advanced in language processing, mathematics, and code generation, but extending these capabilities to physical environments remains challenging. Physical AI seeks to close this gap by developing systems that perceive, understand, and act in dynamic, real-world settings. Unlike conventional AI that processes text or symbols, Physical AI engages with sensory inputs, especially video, and…
Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods that reconstruct scene geometry and properties from multiple captures before simulating new lighting using physical illumination models. Though these techniques provide explicit control over light sources, recovering accurate 3D models from single images remains a problem that frequently results in…
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
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Tactile sensing is a crucial modality for intelligent systems to perceive and interact with the physical world. The GelSight sensor and its variants have emerged as influential tactile technologies, providing detailed information about contact surfaces by transforming tactile data into visual images. However, vision-based tactile sensing lacks transferability between sensors due to design and manufacturing…
Scientific publication
T. M. Lange, M. Gültas, A. O. Schmitt & F. Heinrich (2025). optRF: Optimising random forest stability by determining the optimal number of trees. BMC bioinformatics, 26(1), 95. Follow this LINK to the original publication.
Random Forest — A Powerful Tool for Anyone Working With Data
What is Random Forest?
Have you ever wished you…
With the rapid advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), many believe OCR has become obsolete. If LLMs can "see" and "read" documents, why not use them directly for text extraction? The answer lies in reliability. Can you always be a 100% sure of the veracity of text output that LLMs…