Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. This year we are presenting over …
How reinforcement learning with human feedback helps ensure that businesses are building ethical generative AI models.Read More
From strenuous hikes and serious summits to weekend rambles in the park, here are 11 great walking boots and shoes to make the most of your time outdoors.
New products and compliance are just two of the things humans, rather than LLMs and generative AI models like ChatGPT, still need to handle.Read More
The HBO show, from Veep creator Armando Iannucci, has all of that shows comedy, but not as many of its layers.
Consumer behavior trends often change quickly. There are year-to-year swings in consumer sentiments that impact discretionary spending, debt, economic security, and more due to large economic shifts and other factors. Accenture describes the Reimagined Consumer with purchase motivations beyond price or quality. Not only do consumer behavior trends change often, but consumer motivations for engaging …
Read more “How to Stay Ahead of Consumer Behavior Trends with AI”
In Texas, 2022 was one of the driest years on record. With failed crops, low yields for farmers and diminished grazing for cattle, the Texas Department of Agriculture identified climate change as a potential threat to the state’s food supply. Smallholder farmers, particularly those in arid and drought-prone regions, struggle to manage their farms because …
Read more “IBM and Texas A&M AgriLife provide data, technology and expertise to farmers in need”
Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body …
Read more “Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools”
Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running batch use cases in production environments requires a repeatable process for …
Read more “Create SageMaker Pipelines for training, consuming and monitoring your batch use cases”
One of the core aspects of recommendation systems is finding similarities among the candidates and the anchor search items. For example, If you just read an article, you might be interested in other articles that are similar; a recommendation system can help you find those articles. Recommendation systems can also improve the user experience, increase …
Read more “Recommending news articles using Vertex AI Matching Engine”