News from the AI & ML world
DeeperML - #aws
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OODA OG@OODAloop
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Amazon Web Services (AWS) has announced Ocelot, its first quantum computing chip, entering the competitive race against other tech giants like Google and Microsoft. The chip, developed by the AWS Center for Quantum Computing at the California Institute of Technology, represents the first generation of hardware that implements superior error correction. Amazon says it is a proof-of-principle demonstration—a step on the path to creating a larger machine that can deliver on the industry’s promised killer applications, such as fast and accurate simulations of new battery materials.
This new processor, dubbed Ocelot, aims to reduce the costs of implementing quantum error correction by up to 90% compared to current methods. It consists of nine qubits, five of which are "cat qubits" used to store information, and four transmons which monitor the information in the cat qubits. AWS researchers used Ocelot to encode a single error-corrected bit of information in its nine qubits, showing promise in overcoming the barrier that has made scaling up the technology difficult. Oskar Painter, the head of quantum hardware at AWS, said the design strategy requires only a 10th as many qubits per bit of information.
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will@LearnAI
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AWS is enhancing its AI capabilities with the introduction of cost-effective AI inference solutions using Amazon Bedrock serverless features alongside Amazon SageMaker trained models. This advancement allows users to import their own custom fine-tuned models from SageMaker into Amazon Bedrock, providing access through a fully managed API. This new approach eliminates the need for self-managed infrastructure or costly provisioned throughput, making AI more accessible. Amazon Bedrock supports a variety of model architectures, including Mistral, Flan, Meta Llama 2 and Llama 3, which can be interacted with via the Bedrock playgrounds once imported.
AWS also launched a new cloud region in Thailand, aimed at bolstering Southeast Asia’s digital economy and presenting opportunities for Indian businesses to serve a wider audience. This expansion provides a strategic gateway to neighbouring markets in the APAC region. The move highlights AWS's commitment to expanding its global infrastructure and enhancing the availability of cloud-based services. The Thailand cloud region adds to AWS’s growing list of services focused on supporting AI development and deployment.
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Nanette George@The Dataiku Blog
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Dataiku has released its top five features for data scientists in 2024, highlighting its commitment to supporting data practitioners in their work. The features include enhanced integrations with Databricks, seamless cloud deployments, and multimodal AutoML. These enhancements aim to foster collaboration between teams, tools, and technologies, making data science more efficient and effective. Dataiku's focus is on building lasting relationships within the data science ecosystem.
Rich Data Co (RDC) is utilizing generative AI on Amazon Bedrock to transform credit decision-making. Their software-as-a-service solution provides banks and lenders with customer insights and AI-driven capabilities. RDC has developed data science and portfolio assistants that leverage generative AI to assist teams in developing AI models and gaining insights into loan portfolios. The data science assistant boosts team efficiency by answering technical queries, while the portfolio assistant facilitates natural language inquiries about loan portfolios.
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