Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...

As AI-driven energy demand collides with nation-state cyber probing and fragmented IT/OT defenses, utilities must move beyond ...

Remembering to take medication every single day can become confusing and burdensome. MIT scientists have made capsules that ...

Researchers propose a one-shot, camera-based method to optimize extrusion for high-speed FFF. There could be a way to ...

Snowflake is bolstering its data stack to make the platform better suited to the sheer volume of data produced by AI agents.

Weekly cybersecurity roundup covering exploited vulnerabilities, malware campaigns, legal actions, and nation-state attacks ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

With the rapid economic development, the number of constructed bridges has surged globally. These structures inevitably ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...