AI & RoboticsNews

Google rolls out updates to AI Platform Prediction and AI Platform Training

Google’s AI Platform, a cloud-hosted service facilitating machine learning and data science workflows, today gained a new feature in backend models that tap powerful Nvidia graphics chips. In related news, Google debuted a refreshed model training experience that allows users to run a training script on any range of hardware. For the uninitiated, AI Platform enables developers to prep, build…
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AI & RoboticsNews

How to succeed with AI and machine learning at scale

Presented by Hewlett Packard Enterprise (BlueData) You’ve heard all the great benefits that AI can provide for enterprises today. From detecting fraud to predicting machine failure to understanding customer behavior — AI has the potential to deliver game-changing…
AI & RoboticsNews

Google researchers taught an AI to recognize smells

The researchers created a data set of nearly 5,000 molecules identified by perfumers, who labeled the molecules with descriptions ranging from “buttery” to “tropical” and “weedy.” The team used about two-thirds of the data set to train its AI (a graph neural network or GNN) to associate molecules with the descriptors they often receive. The researchers then used…
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AI & RoboticsNews

Incode raises $10 million to verify identities with AI

Incode, a San Francisco startup developing what it describes as an omnichannel biometric identity platform, today announced that it’s raised $10 million in seed funding from undisclosed investors. Founder and CEO Ricardo Amper said that the newfound capital will enable Incode to accelerate the development and rollout of its tools globally, some of which are already being used by major banks…
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AI & RoboticsNews

AI can help doctors spot brain hemorrhages faster

The process relied on a convolutional neural network that pored over 4,396 CT scans. That’s a comparatively small number of samples, but the abnormalities were detailed “at the pixel level,” according to UCSF. In other words, they were far less likely to…
AI & RoboticsNews

Stanford institute calls for $120 billion investment in U.S. AI ecosystem

The Stanford University Institute for Human-Centered Artificial Intelligence is calling for the U.S. government to make a $120 billion investment in the nation’s AI ecosystem over the course of the next 10 years. The report calls efforts by the Trump administration, like the call for near $1 billion in U.S. non-defense research and development spending in 2020, “encouraging, but not nearly…
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