Franz Inc. expands graph, vector, and Neuro-Symbolic capabilities for enterprise-scale AI systems LAFAYETTE, CA, UNITED ...

Taking Tanzania as an example, this paper systematically analyzes the current situation and challenges of primary school science education in Africa through questionnaires and interviews. The study ...

Abstract: Fine-tuning large language models (LLMs) for domain specific tasks is often an expensive resource intensive procedure requiring large computing and memory ...

Abstract: In this paper, the focus is given on using artificial neural networks (ANNs), particularly diffusion models, to automate the sizing of analog integrated circuits (ICs), given the constraints ...

More than two centuries later, with the subsequent threats of printed books, television, calculators, and computers behind us, generative AI is the intellectual catastrophe of the moment, poised to ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right? When you purchase ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

Google is rolling out Gemini 3.1 Pro as a preview. The upgraded model improves reasoning and problem-solving. There’s no date for when Gemini 3.1 Pro will be generally available, but Google says it ...