RoboCat: A self-improving robotic agent

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Exploring institutions for global AI governance

In this new technical blog post, the author dives into the fascinating topic of latest research on global AI governance structures and how they can help manage opportunities and mitigate risk from advanced artificial intelligence (AI) technologies. The article addresses important questions such as how international institutions can better understand the risks posed by powerful … Read more

Developing reliable AI tools for healthcare

In a new technical blog post, TecH enthusiasts, Diakun Research, have presented their latest research on the potential of using predictive AI in healthcare. The researchers used data from UK medical images, specifically mammography datasets, to investigate the accuracy of predictive AI tools for interpreting medical images. They showed that by combining human expertise with … Read more

Google DeepMind’s latest research at ICML 2023

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Using AI to fight climate change

As part of our work to apply the latest AI development for sustainable solutions, the climate & sustainability team at Google Developers Group (GDG) and The Energy Collective (TEC), have collaborated with domain experts at a Google-owned wind farm to accelerate the transition to renewables. This project aims to increase the value of wind energy … Read more

RT-2: New model translates vision and language into action

ROBOCAT is a self-improving robotic agent designed to perform specific tasks well, but it is limited by its current programming. The researchers explore the possibility of stacking pebbles and logs on a stone using their robot, a process that seems simple for a person but requires careful handling due to the differences in their behavior. … Read more

Identifying AI-generated images with SynthID

To identify AI-generated images created by Imagen, SynthID has developed a tool for watermarking and identifying AI-generated content, using two deep learning models optimized on a range of objectiveives to ensure accurate image identification. The combined approach includes SynthID contributing to the broad suite of approaches for identify images based on metadata. With this technology, … Read more

A catalogue of genetic mutations to help pinpoint the cause of diseases

AlphaMissense is a computational model designed to predict the pathogenicity of missense mutations, which can lead to disease. AlphaMissense was developed using genome-wide studies of human and mouse genomes. The prediction process involves comparing an individual’s sequenced or synthetic genome with the reference sequence of that individual and the expected variants found in other individuals … Read more

Scaling up learning across many different robot types

In a research article published in Nature Robotics, researchers from the University of California Berkeley and Stanford University presented a self-improving robotic agent named RoboCat. They described how their artificial intelligence algorithm, which they call “AIM-Learning,” learns to perform tasks based on visual inputs while also acquiring vision-language communication skills. The researchers began by developing … Read more

Evaluating social and ethical risks from generative AI

Dear Tech enthusiasts! Let’s divulge some fascinating insightful content and introduce a fresh set of comprehensive evaluations for AI systems. As experts in generating, manipulating, and learning from data, we have identified three different layers that assess the risk-appropriate functioning of AI system. In this context, we propose an extensive framework of evaluation to analyze … Read more