zetabyte

​[[{“value”:”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.… Read More »PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors Apple Machine Learning Research

​Self-supervised learning (SSL) on graphs generates node and graph representations (i.e., embeddings) that can be used for downstream tasks such as node classification, node clustering, and link prediction. Graph SSL is particularly useful in scenarios with limited or no labeled data. Existing SSL methods predominantly… Read More »Generative and Contrastive Graph Representation Learning Apple Machine Learning Research

​[[{“value”:” Can safety keep up with real-time LLMs? Alibaba’s Qwen team thinks so, and it just shipped Qwen3Guard—a multilingual guardrail model family built to moderate prompts and streaming responses in-real-time. Qwen3Guard comes in two variants: Qwen3Guard-Gen (a generative classifier that reads full prompt/response context) and… Read More »Meet Qwen3Guard: The Qwen3-based Multilingual Safety Guardrail Models Built for Global, Real-Time AI Safety Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This blog was co-authored with Kuldeep Singh, Head of AI Platform at Innovaccer. The integration of agentic AI is ushering in a transformative era in health care, marking a significant departure from traditional AI systems. Agentic AI demonstrates autonomous decision-making capabilities and adaptive learning… Read More »Building health care agents using Amazon Bedrock AgentCore Kamal Manchanda Artificial Intelligence

​[[{“value”:” Site reliability engineers (SREs) face an increasingly complex challenge in modern distributed systems. During production incidents, they must rapidly correlate data from multiple sources—logs, metrics, Kubernetes events, and operational runbooks—to identify root causes and implement solutions. Traditional monitoring tools provide raw data but lack… Read More »Build multi-agent site reliability engineering assistants with Amazon Bedrock AgentCore Amit Arora Artificial Intelligence

​Choosing the right text representation is a critical first step in any natural language processing (NLP) project. Choosing the right text representation is a critical first step in any natural language processing (NLP) project.  Read More  

​[[{“value”:” Table of contents What problem is it actually solving? Does the sample-efficiency claim hold beyond toy problems? How does the evolutionary loop look in practice? What are the concrete results? How does this compare to AlphaEvolve and related systems? Summary FAQs — ShinkaEvolve Sakana… Read More »Sakana AI Released ShinkaEvolve: An Open-Source Framework that Evolves Programs for Scientific Discovery with Unprecedented Sample-Efficiency Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:”This paper was accepted at the Workshop on Regulatable ML (ReML) at NeurIPS 2025. Recent developments in AI governance and safety research have called for red-teaming methods that can effectively surface potential risks posed by AI models. Many of these calls have emphasized how the… Read More »PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming Apple Machine Learning Research