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 ...
In 2017, new deepfake technology broke the internet when a Redditor used face-synthesize technology powered by generative adversarial networks (GAN) to create and spread a series of fake celebrity ...
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 ...
Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...
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 ...
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 ...
Deep learning architectures such as recurrent neural networks and convolutional neural networks have seen many significant improvements and have been applied in the fields of computer vision, speech ...
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 ...
Since the May 2020 release of OpenAI’s GPT-3, AI researchers have embraced super-large-scale pretraining models. Packing an epoch-making 175 billion parameters, GPT-3 has achieved excellent ...
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 ...
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 ...
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