Neuro-symbolic AI - IBM Research
Mar 30, 2023 · Neuro-symbolic AI. We see Neuro-symbolic AI as a pathway to achieve artificial general intelligence. By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of human-like symbolic knowledge and reasoning, we're aiming to create a revolution in AI, rather than an evolution.
Using symbolic AI for knowledge-based question answering
Building on the foundations of deep learning and symbolic AI, we have developed technology that can answer complex questions with minimal domain-specific training. Initial results are very encouraging – the system outperforms current state-of-the-art techniques on two prominent datasets with no need for specialized end-to-end training.
Mimicking the brain: Deep learning meets vector-symbolic AI
Apr 29, 2021 · One promising approach towards this more general AI is in combining neural networks with symbolic AI. In our paper “Robust High-dimensional Memory-augmented Neural Networks” published in Nature Communications, 1 we present a new idea linked to neuro-symbolic AI, based on vector-symbolic architectures.
This AI could likely beat you at an IQ test - IBM Research
Symbolic AI, on the other hand, can recognize those attributes but does so at the expense of computationally expensive database searches. To address these two limitations, we propose a neuro-vector-symbolic architecture (NVSA) that combines neural networks and vector symbolic architecture (VSA) machinery in two crucial steps.
IBM Neuro-Symbolic AI Workshop - Virtual - IBM Research
IBM is a leader in the research and development of neuro-symbolic AI technologies and we invite graduate students, AI practitioners, and anyone interested in this emerging field to participate in the IBM Neuro-Symbolic AI Workshop 2023, that will be held on January 23-27 as a virtual event.
Neuro-Symbolic Learning and Reasoning in the era of Large …
This workshop aims to provide a dedicated platform for researchers to present and share their cutting-edge advancements in the next generation of neuro-symbolic AI. By creating an environment conducive to knowledge exchange and the exploration of innovative ideas, we aim to foster collaboration and inspire new breakthroughs.
Artificial Intelligence - IBM Research
Dec 20, 2024 · What’s Next in AI is foundation models at scale. AI is revolutionizing how business gets done, but popular models can be costly and are often proprietary. At IBM Research, we’re designing powerful new foundation models and generative AI …
Neuro-Vector-Symbolic Architecture - IBM Research
Symbolic AI focuses on solving cognitive problems, drawing upon the rich framework of symbolic computation to manipulate internal representations to perform reasoning and inference. But it lacks the ability to learn from example or by direct observation of the world.
Plan-SOFAI: A Neuro-Symbolic Planning Architecture - IBM Research
As this strand of research is gaining traction, one of the central debates is whether end-to-end Machine Learning or symbolic AI approaches alone can lead to an effective AI model, or if these techniques need to be integrated into a synergistic system. We believe the integration route to be the most promising.
IBM Neuro-Symbolic AI Summer School - Virtual
The summer school will include talks from over 25 IBMers in various areas of theory and the application of neuro-symbolic AI. We will also have a distinguished external speaker to share an overview of neuro-symbolic AI and its history. The agenda is a balance of educational content on neuro-symbolic AI and a discussion of recent results.