In what they claimed was a "world first," HSBC and IBM used a quantum computer to improve their price predictions on the ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

From twin sticks to push-button drive, trucking’s gearshift evolution changed transmissions, it changed drivers, and it ...

To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution.

Edo Liberty, Founder and Chief Scientist at Pinecone, is a leading expert in large-scale data systems and machine learning. Before launching Pinecone—the vector database built for performance and ...

In oilfield logistics, transportation vehicles, operational equipment, and material supply form a vast and intertwined operational network. Fluctuations in the status of each link can trigger a chain ...

The instinct to build is strong, but the reality is that building multi-agent AI systems from scratch introduces a level of ...

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...

Gonçalo Perdigão, entrepreneur, consultant and author of Building Creative Machines, explores how generative A.I. is recoding the economics of creativity. Drawing on his cross-sector experience in ...

Dominated by platform giants like Amazon and Google, the internet has strayed from Web3’s original vision of decentralization ...

If cloud native is to play its part in shaping the future of telecoms, it needs to avoid being just another layer of added ...

The convergence of analysis, design, and implementation requires product managers to speak the language of AI systems. Artificial intelligence (AI) isn’t just adding new features to our products. It ...