TECH NEWS

3D-Printed Metamaterials That Think While They Transform

Most objects are built for just one purpose. A chair stays a chair, a table stays a table, and if you want something that changes shape, you'll usually need motors, hinges, wiring, and a fair amount of mechanical complexity. Researchers at MIT believe there is a better way. They have developed a new type of 3D-printed mechanical metamaterial that can be rearranged into many different forms while automatically sensing its own shape.

The system, called Bifur-circuits, combines mechanical and electrical functionality into the same modular building blocks. Each piece snaps together with the next, creating structures that can be stretched, compressed, twisted, or reconfigured without losing their electrical connections. Because the conductive pathways are built directly into the printed parts, the finished object always knows which configuration it is in without requiring external wiring between modules.

Connector blocks activate a unique circuit between modules (📷: M. AlAlawi et al.)

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Cities are dropping Flock's surveillance cameras at a record pace

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Bottom line: More local governments are ending contracts with Flock Safety as criticism of the company's AI-powered camera network spreads across the country. The pullback reflects mounting concern that Flock's

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How Working Professionals Can Build AI Skills in 2026

Learn how working professionals can build practical AI skills by solving real business problems and applying AI to everyday workplace challenges. Working professionals can build AI skills more effectively by learning through the business problems they encounter in their roles. Rather than studying AI in isolation, they can start with

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What an AgentOps Dashboard Should Reveal About Cost, Latency, and Failure

Discover what an AgentOps dashboard should reveal about AI agent cost, latency, and failures. Learn the key metrics, execution traces, and observability signals teams need to improve agent reliability and performance in production. AI agents can perform multi-step tasks by combining language models, tools, retrieval systems, APIs, and other components.

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The Role of Applied Data Science in Building Reliable AI Systems

Discover how applied data science supports reliable AI systems through data quality, statistical reasoning, model evaluation, and continuous improvement. Building reliable AI systems requires more than selecting a powerful model. Reliable AI systems are AI applications that produce consistent, accurate, and dependable results while handling uncertainty, changing data, and potential

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Cities are dropping Flock's surveillance cameras at a record pace

How Working Professionals Can Build AI Skills in 2026

What an AgentOps Dashboard Should Reveal About Cost, Latency, and Failure

The Role of Applied Data Science in Building Reliable AI Systems