USC + Amazon Center on secure and trusted machine learning,,,,,,,, Established in January 2021 to support basic research and development of new approaches to Machine Learning (ML) Privacy, Security and Reliability, announced today that it has chosen six research projects for 2023-2024, including oven facial projects and two academic projects by new Amazon ML fellowships. … Read more
Today’s major machine learning models-as generative language models or vision-language models, are so great that the process of educating them is typically divided across thousands or even tens of thousands of GPUs. Even with all that parallelism, training still often takes months. With such a massive implementation of resources, hardware and software errors are common … Read more
When a large language model (LLM) is quick with a request such as Which medications are likely to interact with St. John’s Wort?It does not seek a medically validated list of drug interactions (unless it has been trained to do so). Instead, it generates a list based on the distribution of words associated with St. … Read more
Last month, at its annual RE: Invent Development ‘Conference, Amazon Web Services (AWS) announced the release of two new additions to its Titan Family of Foundation models, both of which translate between text and images. Related content AWS SERVICE Enable Machine Learning Innovation at Robust Foundation. With Amazon Titan Multimodal embedders now available via Amazon … Read more
For all their remacable abilies, large language models (LLMs) have an Achilles heel, which is their tendency to hallucinate or make claims that sound plausible but invoice inaccurate. Sometimes these hallucinations can be subtle: An LLM can, for example, make a claim that is most accurate, but gets a date wrong with only one year … Read more
For centuries, theories of meaning have been almost exclusively interested in philosopher, discussed in seminar rooms and at conferences for small special audiences. But the emergence of large language models (LLMs) and other “Foundation Models” have changed it. Suddenly, mainstream media live with speculation about what is only trained to predict the next word in … Read more
Autoomous Vehicles (AVS) such as Zoox-Special-built Robotaxi take a new era in human mobility, but the implementation of AVS comes with many challenges. It is important to perform extensive safety test simulation, which requires the creation of synthetic driving scenarios on scale. Particularly important is to generate realistic safety -critical road scenarios, to test how … Read more
Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results about the range of vision and language tasks. But so large models are often too slow for real -time use, so practical systems are often dependent on knowledgeillation to distill large models’ knowledge to slimmer, faster models. The defining characteristic of … Read more
At Amazon, responsible AI development includes collaboration with leading universities to promote breakthrough research. When we acknowledge that many academic institutions lack resources for major studies, we transform the landscape with the Amazon Nova AI challenge. While Amazon Nova Ai Challenge will explore different facets of generative AI (Gen AI), this year’s challenge is centered … Read more
A way for online shoppers that practically test products is a sought -after technology that can create a more immersive shopping experience. Examples include realistic draping of clothing in a picture of the shopper or insertion of pieces of funnitue in pictures of shoppers living space. Related content Response of light and density fields that … Read more