Microsoft on Thursday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator — ...

The encoder–decoder architecture sits quietly behind many of the most impactful AI systems we use today—machine translation, speech recognition, text summarization, and modern large language models.

In the study titled MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer, a team of nearly 30 Apple researchers details a novel unified approach that enables both ...

Language models have come a long way, from simple statistical methods to deep learning-powered architectures that can generate human-like text. Early models like n-grams and Hidden Markov Models (HMMs ...

A new study links layer-time dynamics in Transformer models with real-time human processing. The findings suggest that AI models may not only reach similar outputs as humans but could also follow ...

In the summer of 2017, a group of Google Brain researchers quietly published a paper that would forever change the trajectory of artificial intelligence. Titled "Attention Is All You Need," this ...

Captioning an image involves using a combination of vision and language models to describe the image in an expressive and concise sentence. Successful captioning task requires extracting as much ...

Our generation is witness to the emerging power of current game-changer Generative AI (GenAI), which is a deep learning technique of Artificial Intelligence within Machine Language umbrella. It’s a ...

The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into English ...

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology ...