Browsing: AI & Robotics
Meta AI Releases Meta Spirit LM: An Open Source Multimodal Language Model Mixing Text and Speech
One of the primary challenges in developing advanced text-to-speech (TTS) systems is the lack of expressivity when transcribing and generating…
Study: When allocating scarce resources with AI, randomization can improve fairness | MIT News
Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen…
Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows
One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of…
Combining next-token prediction and video diffusion in computer vision and robotics | MIT News
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what…
Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand…
Most doctors go into medicine because they want to help patients. But today’s health care system requires that doctors spend hours…
Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily…
People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However,…
This AI Paper by MIT Introduces Adaptive Computation for Efficient and Cost-Effective Language Models
Language models (LMs) are widely utilized across domains like mathematics, coding, and reasoning to handle complex tasks. These models rely…
At the top of many automation wish lists is a particularly time-consuming task: chores. The moonshot of many roboticists is cooking…