The concept of AI self-improvement has been a hot topic in recent research circles, with a flurry of papers emerging and prominent figures like OpenAI CEO Sam Altman weighing in on the future of ...

Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with over 2M global AI enthusiasts. Beyond technological advances, Share My Research also calls ...

The global artificial intelligence market is expected to top US$40 billion in 2020, with a compound annual growth rate (CAGR) of 43.39 percent, according to Market Insight Reports. AI’s remarkable ...

Large pretrained language models (LLMs) have emerged as the state-of-the-art deep learning architecture across a wide range of applications and have demonstrated impressive few-shot learning ...

Just hours after making waves and triggering a backlash on social media, Genderify — an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address — has ...

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...

Music is a universal language, transcending cultural boundaries worldwide. With the swift advancement of Large Language Models (LLMs), neuroscientists have shown a keen interest in investigating the ...

Recent strides in large language models (LLMs) have showcased their remarkable versatility across various domains and tasks. The next frontier in this field is the development of large multimodal ...

In the new paper Automatic Prompt Optimization with "Gradient Descent" and Beam Search, a Microsoft research team presents Automatic Prompt Optimization, a simple and general prompt optimization ...

The quality and fluency of AI bots’ natural language generation are unquestionable, but how well can such agents mimic other human behaviours? Researchers and practitioners have long considered the ...

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...

Multi-layer perceptrons (MLPs) stand as the bedrock of contemporary deep learning architectures, serving as indispensable components in various machine learning applications. Leveraging the expressive ...