Language-like communication improves learning in artificial networks, finds study

Across all species, critical skills are passed on from parents to offspring through communication. Researchers at the University Hospital Bonn (UKB) and the Researchers at the University of Bonn showed that effective communication relies on how both the sender and receiver represent information. Their study reveals how this process underlies training efficacy and task performance. …

ML 16873 architecture

Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes

Kubernetes is a popular orchestration platform for managing containers. Its scalability and load-balancing capabilities make it ideal for handling the variable workloads typical of machine learning (ML) applications. DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the …

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Google named a leader in the Forrester Wave: AI/ML Platforms, Q3 2024

Today, we are excited to announce that Google is a Leader in The Forrester Wave™: AI/ML Platforms, Q3 2024, tying for the highest score of all vendors evaluated in the Strategy category. At Google Cloud, we are committed to providing you with a unified platform that supports the entire AI lifecycle – from data preparation …

Fungus-controlled robots tap into the unique power of nature

In creating a pair of new robots, researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia. By harnessing mycelia’s innate electrical signals, the researchers discovered a new way of controlling ‘biohybrid’ robots that can potentially react to their environment better than their purely synthetic counterparts.

The Power of Pipelines

Machine learning projects often require the execution of a sequence of data preprocessing steps followed by a learning algorithm. Managing these steps individually can be cumbersome and error-prone. This is where sklearn pipelines come into play. This post will explore how pipelines automate critical aspects of machine learning workflows, such as data preprocessing, feature engineering, …

10 Machine Learning Algorithms Explained Using Real-World Analogies

When I was in high school and studied complex mathematics problems, I always used to think about why we were studying them or why they were useful. I was unable to understand and find their usage in the real world. Since machine learning is also a trending topic that many people want to explore, the …