Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking. In response, a research team has developed […]
The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in the Journal of Open Source Software (JOSS) in a paper titled “PhaseFieldX: An Open-Source Framework for Advanced Phase-Field […]
Artificial intelligence is advancing at a dizzying speed. Like many new technologies, it offers significant benefits but also poses safety risks. Recognizing the potential dangers, leading researchers from Google DeepMind, OpenAI, Meta, Anthropic and a […]
Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly answer even the […]
Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the corner is about to cross. Or consider an investment algorithm trading stocks—it needs to anticipate how […]
A new Cornell study has revealed that Amazon’s AI shopping assistant, Rufus, gives vague or incorrect responses to users writing in some English dialects, such as African American English (AAE), especially when prompts contain typos.This […]
Many years ago, long before the internet or artificial intelligence, an American engineer called Vannevar Bush was trying to solve a problem. He could see how difficult it had become for professionals to research anything, […]
JUPITER became the world’s fourth fastest supercomputer when it debuted last month. Though housed in Germany at the Jülich Supercomputing Center (JSC), Georgia Tech played a supporting role in helping the system land on the […]
Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the parameters of the network’s artificial neurons […]
Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are […]
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