When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...
Morning Overview on MSNOpinion
Firms hire AI specialists over data engineers, and it’s backfiring
Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.
The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...
Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...
As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...
A distributed stochastic model predictive control (DSMPC) algorithm is proposed for the cooperative control of a heterogeneous unmanned aerial vehicle (UAV) swarm in the presence of external ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...
Automobile manufacturer JSW MG Motor India on Thursday, December 18, announced a price hike across all its products. Check ...
Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.
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