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How DoorDash Standardized and Improved Microservices Caching
"How DoorDash Standardized and Improved Microservices Caching" explains how DoorDash streamlined caching through a Kotlin library, offering backend developers a fast, safe, and efficient way to introduce new caches.
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Evaluating social and ethical risks from generative AI requires a comprehensive approach that considers AI system capability, human interaction, and systemic impacts.
Modular: Mojo🔥 is now available on Mac
Mojo🔥 is now available on Mac with modular install instructions and an overview of community projects and resources.
Experience the Full Potential of Gen AI with Cohere Models on Oracle
Experience the full potential of Gen AI with Cohere models on Oracle through OCI Generative AI service, enabling customers to add generative AI capabilities to their applications in a secure environment.
To excel at engineering design, generative AI must learn to innovate, study finds
Generative AI models need to go beyond statistical similarity to innovate in engineering design, according to a study by MIT engineers.
How AI-powered claims processing creates new efficiencies in insurance
Optimizing insurance claims processing efficiency with AI-powered technologies
Measurement-induced entanglement phase transitions in a quantum circuit
Measurement-induced entanglement phase transitions observed in a system of 70 qubits on a quantum processor
How AI-powered claims processing creates new efficiencies in insurance
How AI-powered claims processing improves efficiency, reduces labor costs, and enhances customer satisfaction in the insurance industry
Institute Professor Daron Acemoglu Wins A.SK Social Science Award
Institute Professor Daron Acemoglu wins the A.SK Social Science Award for his influential work on institutions, economic growth, and the risks of automation.
Q&A with Diksha Dinde
Q&A with Diksha Dinde: A disability justice advocate and Chevening scholar discusses accessibility in education and her journey to studying abroad.
How generative AI fits into the entire software development lifecycle
Exploring the use of generative AI in the software development lifecycle, from collaboration to debugging and automation.