AI & RoboticsNews

LinkedIn open-sources GDMix, a framework for training AI personalization models

LinkedIn recently open-sourced GDMix, a framework that makes training AI personalization models ostensibly more efficient and less time-consuming. The Microsoft-owned company says it’s an improvement over LinkedIn’s previous release in the space — Photon ML — because it supports deep learning models. GDMix trains fixed effect and random effect models, two kinds of models used in search…
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AI & RoboticsNews

Amsterdam and Helsinki launch algorithm registries to bring transparency to public deployments of AI

Amsterdam and Helsinki today launched AI registries to detail how each city government uses algorithms to deliver services, some of the first major cities in the world to do so. An AI Register for each city was introduced in beta today as part of the Next Generation Internet Policy Summit, organized in part by the European Commission and the city of Amsterdam. The Amsterdam registry currently…
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AI & RoboticsNews

Google launches AI Platform Prediction in general availability

Google today launched AI Platform Prediction in general availability, a service that lets developers prep, build, run, and share machine learning models in the cloud. It’s based on a Google Kubernetes Engine backend and features an architecture designed for high reliability, flexibility, and low overhead latency. IDC predicts that worldwide spending on cognitive and AI systems will reach $77.6…
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AI & RoboticsNews

Microsoft details how it improved Bing’s autosuggest recommendations with AI

Earlier in the year, Microsoft detailed the ways Bing has benefited from AI at Scale, an initiative to apply large-scale AI and supercomputing to language processing across Microsoft’s apps, services, and managed products. AI at Scale chiefly bolstered the search engine’s ability to directly answer questions and generate image captions, but in a blog post today, Microsoft says it has led to…
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