Image diffusion models have emerged as a game-changing method for generating high-quality images that can be edited via users’ natural language text prompts. However, applying image diffusion models ...

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 ...

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 ...

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 ...

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 ...

Researchers from Google DeepMind introduce the concept of "Socratic learning." This refers to a form of recursive self-improvement in artificial intelligence that significantly enhances performance ...

In the ongoing quest for bigger and better, Google Brain researchers have scaled up their newly proposed Switch Transformer language model to a whopping 1.6 trillion parameters while keeping ...

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 ...

There are some things that some people just don’t want showing up on their websites, and this has spawned a wide range of activities and technologies that fall under “content review.” Initially done ...

A pair of groundbreaking research initiatives from Meta AI in late 2024 is challenging the fundamental “next-token prediction” paradigm that underpins most of today’s large language models (LLMs). The ...

Ensemble methods, due to their wide applications and fancy accuracy, are attractive since the day they were invented. In the family of ensemble methods, bagging and boosting algorithms share some ...

Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised ...