Category Added in a WPeMatico Campaign
As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on. Threat actors, however, have not overlooked this. They increasingly target the boot process with sophisticated malware like bootkits, which seize control before any traditional security software can load …
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: (i) a ∼3B-parameter on-device model optimized for Apple silicon through architectural innovations such as KV-cache sharing and 2-bit quantization-aware training; and (ii) a scalable server model built on a novel Parallel-Track Mixture-of-Experts (PT-MoE) transformer that combines track …
Read more “Apple Intelligence Foundation Language Models Tech Report 2025”
Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores. For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. This is especially important for applications such as summarization, content generation, …
Read more “Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI”
Welcome to the first Cloud CISO Perspectives for July 2025. Today, Sandra Joyce, vice president, Google Threat Intelligence, talks about an incredible milestone with our Big Sleep AI agent, as well as other news from the intersection of security and AI. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to …
Read more “Cloud CISO Perspectives: Our Big Sleep agent makes a big leap, and other AI news”
This post was written with Ilan Geller, Kamal Mannar, Debasmita Ghosh, and Nakul Aggarwal of Accenture. Video highlights offer a powerful way to boost audience engagement and extend content value for content publishers. These short, high-impact clips capture key moments that drive viewer retention, amplify reach across social media, reinforce brand identity, and open new …
Read more “Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents”
In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in Vertex AI Model Garden. Following the addition of Llama 4 models earlier this year, we are announcing DeepSeek R1 is available for everyone …
Read more “Build with more flexibility: New open models arrive in the Vertex AI Model Garden”
We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such as Prio. These systems are typically used to aggregate vectors such as gradients in private federated learning, where the aggregate itself is protected via noise addition to ensure differential privacy. Existing approaches require communication scaling with the dimensionality, and thus …
Read more “PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors”
Behind the Streams: Three Years Of Live at Netflix. Part 1. By Sergey Fedorov, Chris Pham, Flavio Ribeiro, Chris Newton, and Wei Wei Many great ideas at Netflix begin with a question, and three years ago, we asked one of our boldest yet: if we were to entertain the world through Live — a format almost as old as …
Amazon Bedrock Knowledge Bases has extended its vector store options by enabling support for Amazon OpenSearch Service managed clusters, further strengthening its capabilities as a fully managed Retrieval Augmented Generation (RAG) solution. This enhancement builds on the core functionality of Amazon Bedrock Knowledge Bases , which is designed to seamlessly connect foundation models (FMs) with …