engblogs

An AI-driven multimodal framework that disentangles shared versus modality-specific information across cell measurements to reveal a holistic view of the cell state and its implications for disease.

Dissects UNC2814's GRIDTIDE backdoor, which covertly used Google Sheets as a C2 channel to spy on telecoms and governments worldwide, and outlines GTIG/Mandiant disruption, IOC releases, and defense lessons.

Practical, end-to-end guidance for shipping AI agents from concept to production, covering architecture, memory and context engineering, testing and evaluation, deployment, and interoperability protocols like MCP and A2A.

Adaptive data governance enables EU financial institutions to absorb shifting regulations, align AI accountability and data controls, and turn compliance into a durable, platform-driven competitive advantage.

An exploration of securing maritime cyber-physical systems through AI-driven threat modeling, physics-based vessel forecasting, and cross-sector policy collaboration.

An analysis of the text-speech understanding gap in LLMs, presenting SALAD (Sample-efficient Alignment with Learning through Active selection and cross-modal Distillation) as a data-efficient cross-modal distillation approach to improve alignment between speech and text in 3B/7B LLMs, with implications for multimodal decoding and streaming TTS as seen in Visatronic and SpeakStream.

Explores how to productionize AI-powered data pipelines with Databricks Lakeflow and Agent Bricks, integrating AI functions into ETL, orchestration, and scalable analytics.

depyf demystifies the PyTorch 2.x compiler by decompiling bytecode back into source code and exposing in-memory objects to on-disk sources for line-by-line debugging with a lightweight two-context-manager workflow.

An examination of Arvind KC's appointment as Chief People Officer and its implications for HR technology adoption, people analytics, and data-driven talent strategy.

RCCLX is the open-source AMD-optimized RCCL backend integrated with Torchcomms, introducing Direct Data Access (DDA) and Low-Precision Collectives to accelerate AI training and inference on AMD GPUs, with CTran integration enabling GPU-resident AllToAllvDynamic.

A one-week, AI-assisted reimplementation of Next.js as vinext on Vite, deploying to Cloudflare Workers with faster builds and smaller client bundles.

Explores AMUSE, a multimodal audio-visual benchmark for agentic multi-speaker understanding, and RAFT, a data-efficient alignment framework that enhances agentic reasoning via reward-based optimization and intrinsic self-evaluation in multimodal models.