engblogs

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 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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.