RSS Feed Source: MIT Technology Review

This year, we’ve seen a real-time experiment playing out across the technology industry, one in which AI’s software engineering capabilities have been put to the test against human technologists. And although 2025 may have started with AI looking strong, the transition from vibe coding to what’s being termed context engineering shows that while the work of human developers is evolving, they nevertheless remain absolutely critical.

This is captured in the latest volume of the “Thoughtworks Technology Radar,” a report on the technologies used by our teams on projects with clients. In it, we see the emergence of techniques and tooling designed to help teams better tackle the problem of managing context when working with LLMs and AI agents. 

Taken together, there’s a clear signal of the direction of travel in software engineering and even AI more broadly. After years of the industry assuming progress

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RSS Feed Source: MIT Technology Review

Physicists have uncovered how direct atom-atom interactions can amplify superradiance, the collective burst of light from atoms working in sync. By incorporating quantum entanglement into their models, they reveal that these interactions can enhance energy transfer efficiency, offering new design principles for quantum batteries, sensors, and communication systems.

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RSS Feed Source: MIT Technology Review

Cambridge researchers have engineered a solar-powered “artificial leaf” that mimics photosynthesis to make valuable chemicals sustainably. Their biohybrid device combines organic semiconductors and enzymes to convert CO₂ and sunlight into formate with high efficiency. It’s durable, non-toxic, and runs without fossil fuels—paving the way for a greener chemical industry.

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RSS Feed Source: MIT Technology Review

Synopsis

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) program seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in cyberinfrastructure (CI). The program continues to emphasize integrated CI services, quantitative metrics with targets for delivery and usage of these services, and community creation.

The CSSI program anticipates three classes of awards:

Elements: These awards target small groups that will create and deploy robust services for which there is a demonstrated need, and that will advance one or more significant areas of science and engineering. Framework Implementations: These awards target larger, interdisciplinary teams organized around the development and application of services aimed at solving common research problems faced by NSF researchers in one or more areas of science and engineering, and resulting in a sustainable community framework providing CI services to a diverse community or communities. Transition

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