Lambda LabsLambda’s multi-cloud blueprint for high-performance AI infrastructure
Lambda’s multi-cloud AI infrastructure blueprint leverages NVIDIA GPU-dense clusters, Kubernetes-native orchestration, and S3-compatible storage to enable scalable, secure, and cost-efficient AI/ML workloads across AWS, Google Cloud, Azure, and OCI.
Google CloudDisaster declaration to safety check: Google Workspace with Gemini transforms disaster response communication
Google Workspace with Gemini leverages AI and secure cloud technology to rapidly transform complex disaster declarations into interactive, user-friendly safety tools, enhancing emergency communication and response for public sector agencies.
Google CloudIntroducing Google Cloud Partner Network: What partners should know
Google Cloud Partner Network launching in Q1 2026 introduces a streamlined partner program focused on customer outcomes, simplified participation, tiered recognition, advanced competencies, and AI-driven automation.
Google CloudWayne State University and Syntasa: Transforming public health assessments with AI
Wayne State University, Syntasa, and Google Public Sector revolutionize public health assessments by integrating AI-driven data analytics and real-time sentiment analysis to expedite and enhance Community Health Needs Assessments.
Google CloudHow Mandiant can help test and strengthen your cyber resilience
Mandiant leverages its ThreatSpace cyber range and offensive security red team assessments to help organizations identify vulnerabilities, enhance defenses, and build proactive cyber resilience against real-world adversaries.
Google CloudHow Mandiant can help test and strengthen your cyber resilience
Mandiant leverages ThreatSpace and red team assessments to simulate real-world cyber threats, helping organizations identify vulnerabilities and build proactive cyber resilience through continuous testing and collaboration.
7 ways you can switch up your practice in the app right now
Explore seven diverse and engaging ways to enhance your language practice in the Duolingo app, from new lessons and reviews to AI-powered conversations and timed challenges.
Apple MLUniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning
UniGen-1.5 advances image generation and editing by integrating a unified reinforcement learning framework with reward models and instruction alignment to enhance multimodal understanding and visual content modification.
Apple MLScore Distillation of Flow Matching Models
Demonstrates how Score identity Distillation extends directly to pretrained text-to-image flow matching models, unifying acceleration techniques across diffusion and flow-based image generation.
Apple MLGIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing
GIE-Bench introduces a novel benchmark for evaluating text-guided image editing models focusing on functional correctness and image content preservation with a large-scale annotated dataset.
Apple MLData-Centric Lessons To Improve Speech-Language Pretraining
Investigates data processing, synthetic data augmentation, and sequence interleaving strategies to enhance speech-language model pretraining, resulting in a compact yet highly effective SpeechLM named SpeLangy.
Apple MLSynthetic Bootstrapped Pretraining
Synthetic Bootstrapped Pretraining (SBP) enhances language model performance by synthesizing new training data through learning inter-document relations, achieving significant improvements over traditional pretraining methods.