What is a knowledge worker and what do they do?

Knowledge workers, typically those with advanced training and years of experience, have become a valuable asset for companies worldwide. Businesses lean on these people who “think for a living” to drive innovation, solve problems and manage personnel. Yet, empowering knowledge workers to stay productive can be a constant challenge. Too often, these skilled workers get …

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Modular visual question answering via code generation

Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model to answer a question about an image or a set of images. Conventional VQA approaches need a large amount of labeled training data consisting of …

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Formulating a more effective way to identify vehicle damage with Explainable AI

Turning images of damaged vehicles into accurate claims information is critical for insurance agencies. For that reason, KASIKORN Business-Technology Group (KBTG) Labs, a leading tech company in Thailand, is using Machine learning (ML) technology to help speed up this process, and ensure the accuracy of every claim. KBTG worked with Muang Thai Insurance PCL (MTI), …

A new neural machine code to program reservoir computers

Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural networks (ANNs) fixed while updating others. This framework could help to improve the performance of machine learning algorithms, while also reducing the amount of data required …

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AI in Marketing: Benefits, Use Cases, and Examples

This post was published on June 16, 2022 and updated on July 6, 2023  Warm, personable, convincing — those adjectives may not be the first that come to mind when you think of artificial intelligence or AI. But, AI and human collaboration can outperform human intuition alone in creating and selecting digital content that connects …

Data science vs. machine learning: What’s the difference?

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field …