AI speed and performance news. Inference optimization, latency improvements, throughput benchmarks, and model efficiency.
Will 2026 be looked back on as the pivotal year for making decisions about the singularity?
There's too much going on!
From rewriting Google’s search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack.
Learn about an AI-powered experience launched as a minimum viable product to gather real user feedback and iterate rapidly. The post The data behind the design: How Pantone built agentic AI with an AI-ready database appeared first on Microsoft Azure Blog .
Anton Cherepanov is always on the lookout for something interesting. And in late August last year, he spotted just that. It was a file uploaded to VirusTotal, a site cybersecurity researchers like him use to analyze submissions for potential viruses and other types of malicious software, often known as malware. On the surface it seemed…
We have Opus 4.5 at home
Inside Boltz, AlphaFold’s Legacy, and the Tools Powering Next-Gen Molecular Discovery
This post shows you how to implement robust error handling strategies that can help improve application reliability and user experience when using Amazon Bedrock. We'll dive deep into strategies for optimizing performances for the application with these errors. Whether this is for a fairly new application or matured AI application, in this post you will be able to find the practical guidelines to operate with on these errors.
This post shows you how to implement intelligent notification filtering using Amazon Bedrock and its gen-AI capabilities. You'll learn model selection strategies, cost optimization techniques, and architectural patterns for deploying gen-AI at IoT scale, based on Swann Communications deployment across millions of devices.
Strong generative media showings from China
Amazon Nova Sonicnbsp;delivers real-time, human-like voice conversations through the bidirectional streaming interface. In this post, you learn how Amazon Nova Sonic can solve some of the challenges faced by cascaded approaches, simplify building voice AI agents, and provide natural conversational capabilities. We also provide guidance on when to choose each approach to help you make informed decisions for your voice AI projects.
a quiet day lets us reflect on a pithy quote from the ClawFather.
This is a cloaked model provided to the community to gather feedback. A reasoning model designed for speed. It is built for coding assistants, real-time conversational applications, and agentic workflows. Default reasoning effort is set to medium for fast responses. For agentic coding use cases, we recommend changing effort to high. Note: All prompts and completions for this model are logged by the provider and may be used to improve the model.
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