Today, tens of thousands of customers are building, training, and deploying machine learning (ML) models using Amazon SageMaker to power applications that have the potential to reinvent their businesses and customer experiences. These ML models have been increasing in size and complexity over the last few years, which has led to state-of-the-art accuracies across a …
The future of artificial intelligence (AI) will be open. New and innovative capabilities in areas like generative AI will come from all corners of the technology ecosystem and from companies distributed around the globe — from early stage startups to cloud-native AI platforms to large, global enterprises. The momentum in this space is incredible. In …
Read more “Building the most open and innovative AI ecosystem”
From metaverse digital twins powering predictive maintenance and network performance optimization to new telco business models born of 5G and edge services, AI applications can drive new operational efficiencies and revenue opportunities across the telecommunications industry. NVIDIA GTC, a global conference for the era of AI and the metaverse running online March 20-23, will showcase …
Anthropic, a startup funded by Google and founded by ex-OpenAI employees, today launched Claude, a chatbot seen as a ChatGPT rival.Read More
A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.
A new version of the AI system that powers the popular chatbot has better language skills, but is still biased, prone to fabrication, and can be abused.
Are machines losing their edge in game-playing against humans?
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SXSW Recap: Thinkingbox’s “Creativity, AI, and the Fifth Industrial Revolution” explored the relationship between generative AI and creativity.
Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of GAN-inversion can be limited by a lack of robustness to unknown gross …