The rapid rise of generative AI — particularly the large language models (LLMs) that now dominate the natural language processing (NLP) domain — has put AI into the public spotlight like never before.
In the realm of deep learning, much emphasis has been placed on deciphering digital media files that resonate with human understanding. Yet, amidst this pursuit, the ubiquitous presence of native ...
Stanford U’s Brain-Computer Interface Enables Stroke and ALS Patients to ‘Speak’ 62 Words per Minute
From drug discovery and protein folding to tumour detection, AI is revolutionizing the biomedical and healthcare fields. Recent research into brain-computer interfaces (BCIs) has revealed their ...
Reinforcement Learning from Human Feedback (RLHF) has become the go-to technique for refining large language models (LLMs), but it faces significant challenges in multi-task learning (MTL), ...
Recent advancements in Large Language Models (LLMs), exemplified by models like GPT, Claude, and Llama, have showcased remarkable prowess in natural language understanding and generation. These models ...
The latest advancements in language models (LMs), exemplified by GPT-4 (OpenAI, 2023), PaLM (Anil et al., 2023), and LLaMa (Touvron et al., 2023), have demonstrated remarkable capabilities in natural ...
Market research firm Emersion Insights reports that global funding for AI-powered drug development topped US$4 billion in 2021, a 36 percent year-over-year increase, and is expected to continue its ...
Optimization plays a pivotal role in a diverse array of real-world applications. Nevertheless, traditional optimization algorithms often demand substantial manual intervention to tailor them to ...
Significant progress has been made in recent years on learning techniques that enable robots to perform a variety of manipulation tasks with strong generalization capabilities to novel scenarios. This ...
Achieving excellence across diverse medical applications presents significant hurdles for artificial intelligence (AI), demanding advanced reasoning abilities, access to the latest medical knowledge, ...
Foundation models, also known as general-purpose AI systems, are a rising trend in AI research. These models excel in diverse tasks such as text synthesis, image manipulation, and audio generation.
Transformers have revolutionized a wide array of learning tasks, but their scalability limitations have been a pressing challenge. The exact computation of attention layers results in quadratic ...
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