Aphasia from Stroke for 18 Years, AI + Brain-Computer Interface Helps Her 'Voice' Thoughts

Groundbreaking Advancements in AI Avatars: Talking Digital Twins Reshaping the Future of Human-Computer Interaction

Recent breakthroughs in generative AI have enabled AI avatars to not only possess lifelike appearances but also speak naturally and fluently. This technology, incorporating cutting-edge speech synthesis and facial expression generation capabilities, is rapidly blurring the lines between the digital and physical worlds, propelling AI from a behind-the-scenes tool to a direct conversational partner with humans. The emergence of these AI avatars marks a crucial step in the convergence of generative AI technologies. By seamlessly integrating highly realistic facial animation with natural speech synthesis, these avatars offer unprecedented potential for revolutionizing communication and interaction.

ByteDance Releases MegaTTS3 on Hugging Face: A Breakthrough in Lightweight Speech Synthesis

Beijing—ByteDance recently released its latest text-to-speech (TTS) model, MegaTTS3, on the Hugging Face open-source AI community. This release has quickly garnered attention from AI researchers and developers worldwide due to its breakthroughs in lightweight design and multilingual support. Based on community feedback and official information, MegaTTS3 is hailed as a significant advancement in speech synthesis. MegaTTS3's core highlights are...

Prices for Brain-Computer Interface Medical Services Released in Hubei Province

Hubei province in China has released the nation's first price list for brain-computer interface medical services, starting from 6552 yuan.

Chinese Scientists Release World's First Micrometer-Scale Brain-Computer Interface 3D Atlas, Enhancing Surgical Safety

Researchers in China have unveiled the world's first three-dimensional atlas of a brain-computer interface at the micrometer scale. This groundbreaking achievement significantly improves the safety and precision of brain surgery involving BCIs.

Sesame Releases CSM Model: Real-time Emotion-Customized AI Speech Synthesis Reaches New Heights

On March 13th, Sesame unveiled its latest speech synthesis model, CSM, attracting significant industry attention. According to the official introduction, CSM adopts an end-to-end Transformer-based multimodal learning architecture. It understands contextual information to generate natural and emotionally rich speech with stunningly realistic sound. The model supports real-time speech generation, processing both text and audio inputs. Users can also control features such as tone, intonation, rhythm, and emotion by adjusting parameters, showcasing high flexibility. CSM is considered a breakthrough in AI speech technology.

Spark-TTS: A Text-to-Speech System Supporting Zero-Shot Voice Cloning and Fine-grained Control

Science Fiction Becomes Reality! Yale University Releases MindLLM: AI Translates fMRI Brain Signals into Text!

Yale University researchers have developed MindLLM, an AI model capable of translating fMRI brain signals directly into text. This groundbreaking technology bridges the gap between brain activity and human language, opening new possibilities for communication and understanding the human brain.

Sesame Releases CSM Voice Model: Transcending the Uncanny Valley with Globally Stunning Realism

Sesame's newly released Conversational Speech Model (CSM) has recently sparked heated discussions on X, lauded as a voice model that sounds "just like a real person." Its stunning naturalness and emotional expressiveness not only make it indistinguishable from human speech for users, but also claim to have successfully overcome the uncanny valley effect in the field of voice technology. With the spread of demonstration videos and user feedback, CSM is rapidly becoming a leader in AI voice technology.

80% Accuracy! Meta Develops Non-Invasive Brain-Computer Interface That Allows Typing with Thought

Social media giant Meta recently announced that they have developed a new device capable of reading brain neural signals to enable text input. This research achievement is detailed by Meta's scientists in two studies, utilizing advanced brain imaging technology and deep learning AI models to successfully decode the brain signals of individuals while they type, even reconstructing complete sentences. Specifically, this technology relies on a scanning device known as magnetoencephalography (MEG), which can capture the faint magnetic signals emitted by the brain.

China's Brain-Computer Interface Sector Sets Record! Ladder Medical Completes $350 Million Series B Financing