The partnership underscores intensifying global efforts to address some of AI’s biggest bottlenecks: memory performance and ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

Two malware campaigns weaponize open-source software to target executives and cloud systems, combining social engineering ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

The authors argue that today’s agentic AI platforms are closer to experimental infrastructure than finished products.

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

MicroPythonOS lightweight OS for microcontroller targets applications with graphical user interfaces with a look similar to Android/iOS.

Moltbot’s viral open-source AI assistant wowed users with automation power but sparked major security, privacy, and misuse concerns.