Machine Learning
Solving Brain Dynamics Gives Rise To Flexible Machine Learning Models
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these “liquid” neural nets meant boosting the …
Unlocking The Value Of Unstructured Data At Scale Using BigQuery ML And Object Tables
Most commonly, data teams have worked with structured data. Unstructured data, which includes images, documents, and videos, will account for up to 80 percent of data by 2025. However, organizations currently use only a small percentage of this data to derive useful insights.One of main ways to extract value from unstructured data is by applying …
Using AI To Increase Asset Utilization And Production Uptime For Manufacturers
Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and offer new services. Macroeconomic factors – such as high energy costs, increasing labor, and raw material shortages – drive the need for urgent operational optimizations and automation.Cloud capabilities have matured at an accelerated pace, giving …
How Artificial Intelligence Can Help Us Prepare For Climate Adaptation
Over the next few decades, climate change is poised to be a major business disruptor, with the potential financial impact of climate change being estimated to range in the trillions of dollars for the U.S. economy alone. To adapt to this new reality, more granular climate insights need to be generated to empower stakeholders to …
Intel Delivers Leading AI Performance Results On MLPerf v2.1 Industry Benchmark For DL Training
What’s New: Today, MLCommons published results of its industry AI performance benchmark in which both the 4th Generation Intel® Xeon® Scalable processor (code-named Sapphire Rapids) and Habana® Gaudi®2 dedicated deep learning accelerator logged impressive training results. “I’m proud of our team’s continued progress since we last submitted leadership results on MLPerf in June. Intel’s 4th …
In Machine Learning, Synthetic Data Can Offer Real Performance Improvements
Teaching a machine to recognize human actions has many potential applications, such as automatically detecting workers who fall at a construction site or enabling a smart home robot to interpret a user’s gestures. To do this, researchers train machine-learning models using vast datasets of video clips that show humans performing actions. However, not only is …
Using Sound To Model The World
Imagine the booming chords from a pipe organ echoing through the cavernous sanctuary of a massive, stone cathedral. The sound a cathedral-goer will hear is affected by many factors, including the location of the organ, where the listener is standing, whether any columns, pews, or other obstacles stand between them, what the walls are made …
How Google Is Using AI To Help Address The Climate Crisis
Communities around the world are facing the effects of climate change — from devastating floods and wildfires to challenges around food security. As global leaders meet in Egypt for COP27, a key area of focus will be on how we can work together to address the climate change crisis and implement sustainable solutions. At Google, we’re investing …
Vertex AI Vision: Easily Build And Deploy Computer Vision Applications At Scale
If organizations can easily analyze unstructured data streams, like live video and images, they can more effectively leverage information from the physical world to create intelligent business applications. Retailers can improve shelf management by instantly spotting what products are out of stock, manufacturers can reduce product defects by detecting production errors in real time, and …
Machine Learning Experiments In Gaming And Why It Matters
Introduction Machine learning (ML) is essential to video game development. Predicting specific in-game actions and identifying and reaching your most valuable players helps to drive better outcomes. To this end, we need to keep track of all experiments that are happening behind the scenes. Google Cloud recently announced the general availability of a new feature …