In recent years, speech synthesis has undergone a profound transformation thanks to the emergence of large-scale generative models. This evolution has led to significant strides in zero-shot speech synthesis systems, including text-to-speech (TTS), voice conversion […]
Neuromorphic computing represents a transformative approach to artificial intelligence, seeking to emulate the human brain’s neural structures and processing methods. This computing paradigm offers significant advancements in efficiency and performance for specific tasks, including those […]
Artificial intelligence continues evolving, pushing data processing and computational efficiency boundaries. A standout development in this space is the emergence of large-scale AI models that are not just expansive but also uniquely capable of handling […]
Large capacity models, such as Large Language Models (LLMs) and Large Multi-modal Models (LMMs), have demonstrated effectiveness across various domains and tasks. Scaling up these models by increasing parameter count enhances performance but significantly reduces […]
As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. In an interview ahead of the AI & Big Data Expo North […]
MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness […]
Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available. The innovative training approach developed by Microsoft researchers has allowed the […]
On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. ODI holds promise in the Internet of Everything era for applications like medical diagnosis and […]
Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered attention […]
Large Language Models (LLMs) stand out for their ability to parse and generate human-like text across various applications. These models have become integral to technologies that automate and enhance text-based tasks. Despite their advanced capabilities, […]
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