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5 Minutes
Anzhella Pankratova
Content Author at OpenCV.ai
OpenCV AI Weekly Digest: OpenAI Voice Engine & Empathic LLM
Digest 18 | OpenCV AI Weekly Insights
Discover the latest in AI: Hume AI's EVI introduces emotional intelligence to technology, OpenAI's Voice Engine offers realistic voice cloning with ethical safeguards, RadSplat pushes VR rendering speeds, and xAI's Grok-1.5 advances in understanding complex contexts.
April 2, 2024
Welcome to the OpenCV AI Weekly Insights Digest!
Stay ahead in AI with our "OpenCV AI Weekly Insights Digest". We bring you concise, impactful news from the world of artificial intelligence.
Introducing Hume AI's EVI: A Leap in Emotional AI
Image Source: Hume AI
Hume AI has developed a new technology, the Empathic Voice Interface (EVI), that understands emotions through tone, a step forward in AI emotional intelligence. With $50 million in Series B funding, Hume AI is advancing AI's ability to interact with humans on an emotional level, suggesting a future where AI can provide more personalized support.
This investment in Hume AI's EVI marks a pivotal moment in integrating emotional intelligence into AI, potentially transforming how we interact with technology by making it more empathetic and supportive.
OpenAI has introduced the Voice Engine, a groundbreaking AI that can clone voices from just a 15-second sample, creating realistic results. Developed in late 2022, this technology is already enhancing Text-to-Speech APIs, ChatGPT Voice, and Read Aloud functionalities, showing vast potential for various applications. However, given the risks of misuse, such as voter manipulation, OpenAI is treading carefully, restricting access and ensuring strict guidelines for use, including explicit consent from voice owners and clear labeling of AI-generated voices.
OpenAI's Voice Engine demonstrates the cutting-edge potential of AI in voice cloning, balanced with a commitment to ethical use and transparency.
RadSplat Achieves NeRF Quality Rendering at 900FPS Speed
Image Source: RadSplat
RadSplat, a new method of virtual reality (VR), is setting benchmarks by offering NeRF-like rendering quality at a staggering 900 frames per second (FPS), addressing a significant challenge in transferring high-resolution real spaces into VR efficiently. By innovating with a process that prunes and refines Gaussian splats from trained neural radiance fields (NeRF), RadSplat not only accelerates rendering but also enhances image quality.
This method offers a practical solution for rendering large scenes by dividing them into clusters and selectively processing visible elements, thereby optimizing performance. RadSplat's breakthrough, comparable to the Re-ReND method's achievements, marks a leap toward real-world applicability of high-fidelity VR experiences at speeds previously unimaginable.
xAI introduces Grok-1.5, the latest evolution of its AI model, designed to excel in long-context understanding and advanced reasoning tasks. Scheduled for release to early testers and existing users on the 𝕏 platform, Grok-1.5 showcases significant enhancements over its predecessor, especially in coding and mathematical problem-solving.
With remarkable scores on challenging benchmarks such as MATH, GSM8K, and HumanEval, Grok-1.5 demonstrates its power in handling complex calculations and code generation. A standout feature is its ability to process contexts up to 128K tokens long, greatly expanding its memory capacity and enabling it to navigate through extensive documents with ease.
Computer Vision in Sports: People Train and Compete — Machines Watch and Help
At the upcoming 2024 Olympic Games in Paris, the world will see the most advanced AI and computer vision systems for sports developed by Intel. These systems will not only help capture athletic performance with millimeter and millisecond accuracy but also create 3D models of athletes for replays and analyzing complex situations. The data and models will be available to both referees and spectators.
Artificial intelligence and computer vision systems in sports are no longer a high-tech novelty but an everyday reality. People train, challenge, and watch others compete — and hundreds of tech companies are helping to make it safer and more efficient. And more fun, too!
April 16, 2024
Which GPUs are the most relevant for Computer Vision
In the field of CV, selecting the appropriate hardware can be tricky due to the variety of usable machine-learning models and their significantly different architectures. Today’s article explores the criteria for selecting the best GPU for computer vision, outlines the GPUs suited for different model types, and provides a performance comparison to guide engineers in making informed decisions.
April 12, 2024
Digest 19 | OpenCV AI Weekly Insights
Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
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