Xai | search
Click here to view Xai news from 60+ newspapers.
Bookmark or Share- What is Explainable AI (XAI)? | IBMExplainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. It helps characterize model accuracy, fairness, transparency and ...
- You asked. watsonx.ai delivers. - IBMIBM® watsonx.ai™ is an enterprise-grade studio for developing AI services and deploying them into your applications of choice―with a collection of the APIs, tools, models and runtimes you need to turn your ideas and requirements into reality. Read the whitepaper. Developer AI toolkit. Full AI lifecycle management. Full AI lifecycle management.
- AI vs. Machine Learning vs. Deep Learning vs. Neural Networks - IBMAI is the overarching system. Machine learning is a subset of AI. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. It’s the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more ...
- ¿Qué es la IA explicable (XAI)? | IBMLa IA explicable se utiliza para describir un modelo de IA, su impacto previsto y sus posibles sesgos. Ayuda a caracterizar la precisión del modelo, la imparcialidad, la transparencia y los resultados en la toma de decisiones impulsada por IA. La IA explicable es decisiva para que una organización cree confianza y seguridad a la hora de poner ...
- IBM WatsonNow through advancements in core Watson technologies, IBM has developed the next generation AI and data platform and set of AI assistants with watsonx. Now available watsonx.governance. Accelerate responsible, transparent and explainable workflows for generative AI built on third-party platforms. How Watson has evolved AI over time.
More
