INTERSPEECH: Where speech recognition and synthesis converge

INTERSPEECH: Where speech recognition and synthesis converge

As the start of this year’s Interspeesch is approaching, “Generative AI” has become a guard word in both the machine learning community and the popular press, where it generally refers to models that synthesize text or images. TTS) Models (TTS-to-Tale), which is an important research area at Interspeech, has in some sense always been “generative”. … Read more

Amazon Bedrock offers access to multiple generative AI models

Amazon Bedrock offers access to multiple generative AI models

The drive to exploit the transformative power of high-end machine learning models has meant that some businesses are facing new challenges. Team wants help preparing complete documents, summarizing complex documents, conversation-IA agents who build or generate striking, customized visuals. In April, Amazon stepped in to help clients fight with the need to build and scale … Read more

USC and Amazon choose six new research projects

USC and Amazon choose six new research projects

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

More effective recovery from failures during large-ML model education

More effective recovery from failures during large-ML model education

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

Hallucination Automation Detection with Thought Growth Chain Reasoning

Hallucination Automation Detection with Thought Growth Chain Reasoning

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

Amazon Web Services Voles Two new Titan-Vision Language Models

Amazon Web Services Voles Two new Titan-Vision Language Models

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

New tool, data sets help detect hallucinations in large language models

New tool, data sets help detect hallucinations in large language models

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

Does big language models understand the world?

Does big language models understand the world?

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

Scenario Broadcast helps Zoox vehicles navigate security-critical situations

Scenario Broadcast helps Zoox vehicles navigate security-critical situations

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

Knowledge method to better vision -language models

Knowledge method to better vision -language models

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