Researchers From UC Berkeley and Google Introduce an AI Framework that Formulates Visual Question Answering as Modular Code Generation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

The domain of Artificial Intelligence (AI) is evolving and advancing with the release of every new model and solution. Large Language Models (LLMs), which have recently got very popular due to their incredible abilities, are the main reason for the rise in AI. The… Read More »Researchers From UC Berkeley and Google Introduce an AI Framework that Formulates Visual Question Answering as Modular Code Generation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions Dan Ferguson AWS Machine Learning Blog

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers. SambaSafety serves more than 15,000 global… Read More »SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions Dan Ferguson AWS Machine Learning Blog

Last Updated on June 16, 2023 With the explosion in popularity of generative AI in general and ChatGPT in particular, prompting has become an increasingly important skill for those in the world of AI. Crafting a prompt, the mechanism of interacting with a large… Read More »Prompt Engineering for Effective Interaction with ChatGPT Matthew Mayo MachineLearningMastery.com

Large language models have increased due to the ongoing development and advancement of artificial intelligence, which has profoundly impacted the state of natural language processing in various fields. The potential use of these models in the financial sector has sparked intense attention in light… Read More »Meet FinGPT: An Open-Source Financial Large Language Model (LLMs) Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Humor may improve human performance and motivation and is crucial in developing relationships. It is an effective tool for influencing mood and directing attention. Therefore, a sense of humor that is computational has the potential to improve human-computer interaction (HCI) greatly. Sadly, even though… Read More »This Paper Tests ChatGPT’s Sense of Humor: Over 90% of ChatGPT Generated Jokes Were The Same 25 Jokes Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

MIT researchers have developed a groundbreaking technique that enables machines to solve complex stabilize-avoid problems more effectively than previous methods. The new machine-learning approach, presented in a paper by lead author Oswin So and senior author Chuchu Fan, allows autonomous aircraft to navigate treacherous… Read More »Revolutionizing Navigation: MIT Researchers Unveil a Novel Machine Learning Approach for Autonomous Vehicle Stabilization and Obstacle Avoidance Niharika Singh Artificial Intelligence Category – MarkTechPost

Sparse feature tracking or dense optical flow have historically been the two main methodologies used in motion estimating algorithms. Both types of methods have been successful in their particular applications. However, neither representation completely captures the motion of a video: sparse tracking can not… Read More »A Research Team from Google, Cornell, and UC Berkeley Presented OmniMotion: A Game-Changing AI Method for Dense and Long-Range Motion Estimation in Videos Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Voice technology has become ubiquitous recently. However, the accuracy, and hence experience, in different languages varies significantly, which makes the technology not equally inclusive. The availability of data for different languages is one of the key factors affecting accuracy, especially in training of all-neural end-to-end… Read More »Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers Apple Machine Learning Research

Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems. Despite their benefits, recent studies of ML teams and our interviews with practitioners (n=9) showed that ML interfaces have limited adoption in practice. While… Read More »Symphony: Composing Interactive Interfaces for Machine Learning Apple Machine Learning Research

To obtain information comparable to a given query, large-scale web search engines train an encoder to contain the query and then connect the encoder to an approximate nearest neighbor search (ANNS) pipeline. Learned representations are often stiff, high-dimensional vectors generally employed as-is throughout the… Read More »Meet AdANNS: A Novel Framework that Leverages Adaptive Representations for Different Phases of ANNS Pipelines to Improve the Accuracy-Compute Tradeoff Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost