engblogs

A meta-analysis revealing that people’s acceptance of AI depends on the AI’s perceived capability surpassing humans and the need for personalization in different decision contexts.

Munther Dahleh's book details the creation of MIT's Institute for Data, Systems and Society, emphasizing a transdisciplinary approach to tackling complex societal challenges through the integration of data, physical systems, policy, and human factors.

A hybrid AI framework combining large language models and satisfiability solvers dramatically improves personalized trip planning by efficiently handling complex constraints and providing logical, verifiable travel itineraries.

GitHub engineers share best practices for effectively managing platform problems through domain understanding, infrastructure as code, impact assessment, thorough testing, and knowledge sharing.

Mammoth is a Kubernetes-native platform that enables enterprise-scale, efficient, and intelligent GenAI model deployment and serving across diverse hardware with automated orchestration and advanced resource optimization.

Modular and AMD partner to optimize AI workloads on AMD GPUs through the hardware-agnostic Modular Platform, leveraging the Mojo programming language and Mammoth orchestrator for scalable, high-performance AI infrastructure.

An overview of policies for structured and responsible reporting of security vulnerabilities to ensure effective coordination between researchers and organizations.

Exploring effective strategies to enhance security through responsible disclosure practices.

Coactive leverages AI to transform how businesses analyze and manage unstructured visual data, enabling faster insights and improved human-machine collaboration.

An exploration of how AI-driven healthcare innovations like Bluetooth-activated synthetic bacteria risk deepening inequality through subscription models, underscoring the ethical challenges at the intersection of cutting-edge technology and profit-driven medical systems.

MIT researchers developed a machine learning-based adaptive control system using meta-learning and mirror descent algorithms to help autonomous drones maintain accurate trajectories in unpredictable wind conditions without prior disturbance knowledge.

Impulse is Airbnb's internal load-testing-as-a-service framework featuring a decentralized, containerized load generator, dependency mocker, traffic collector, and testing API generator to enable robust, context-aware, and scalable load testing integrated within CI/CD pipelines.