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10x performance improvement with the latest forecasting updates in Vertex AI

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Today, we are thrilled to announce many improvements for forecasters on Vertex AI. We are launching TimeSeries Dense Encoder (TiDE), a new forecasting model architecture with massive performance improvements. The new model architecture is one of the many improvements enabled by a new forecasting backend that leverages Vertex AI Pipelines and provides more transparency, more …

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AI co-pilot enhances human precision for safer aviation

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Imagine you’re in an airplane with two pilots, one human and one computer. Both have their “hands” on the controllers, but they’re always looking out for different things. If they’re both paying attention to the same thing, the human gets to steer. But if the human gets distracted or misses something, the computer quickly takes …

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Introducing Stable LM 3B: Bringing Sustainable, High-Performance Language Models to Smart Devices 

by AI Generated Robotic ContentImagePosted on Comments are Disabled

Today, we proudly launch an experimental version of Stable LM 3B, the latest in our suite of high-performance generative AI solutions. At 3 billion parameters (vs. the 7 to 70 billion parameters typically used by the industry), Stable LM 3B is a compact language model designed to operate on portable digital devices like handhelds and …

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Google at ICCV 2023

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Shaina Mehta, Program Manager, Google Google is proud to be a Platinum Sponsor of the International Conference on Computer Vision (ICCV 2023), a premier annual conference, which is being held this week in Paris, France. As a leader in computer vision research, Google has a strong presence at this year’s conference with 60 …

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When Does Optimizing a Proper Loss Yield Calibration?

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Optimizing proper loss functions is popularly believed to yield predictors with good calibration properties; the intuition being that for such losses, the global optimum is to predict the ground-truth probabilities, which is indeed calibrated. However, typical machine learning models are trained to approximately minimize loss over restricted families of predictors, that are unlikely to contain …

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The U.S. Chamber of Commerce Foundation and IBM explore generative AI’s applications for skills-based hiring

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

The recent rise of generative artificial intelligence (AI) including large language models (LLMs) has inspired organizations in every industry to consider how AI can drive innovation. Leaders are increasingly recognizing the power of AI as well as its potential limitations and risks. It’s critical that leaders think carefully about how AI is created and applied and …

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