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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.

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Companies are trying to wean staff off Excel spreadsheets to centralise control of their data.

For 21 years, between 1999 and 2020, millions of people worldwide loaned UC Berkeley scientists their computers to search for ...

Black Hat Europe made clear that cybersecurity can no longer be separated from politics as ransomware, AI and long-standing security failures collide ...

Abu Dhabi’s Technology Innovation Institute (TII) has unveiled Falcon-H1 Arabic, a large language model that establishes ...

Space HPC opens at ESRIN (Italy) to process large volumes of data and satellite simulations, boosting European space research ...

Electronics, Semiconductors & Computer Engineering has emerged not merely as a new academic pathway, but as an essential direction that aligns with how modern technology is built, paving a new ...

LumiMind debuts real-time non-invasive brain computer interfaces at CES 2026, pairing live gameplay demos with LumiSleep, a ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...