Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.
In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...
The constant need to learn new things is super important if you want to stick around and do well in the tech world. Being ...
Holding an egg requires a gentle touch. Squeeze too hard, and you'll make a mess. Opening a water bottle, on the other hand, ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
This week’s recap unpacks how evolving exploits, malware frameworks, and cloud missteps are reshaping modern cyber defense ...
Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...