Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

# International endpoint key export DASHSCOPE_API_KEY="sk-..." Qwen3-ASR-Toolkit turns Qwen3-ASR-Flash into a practical long-audio pipeline by combining VAD-based segmentation, FFmpeg normalization ...

I use both R and Python for my work, and I often put how-to guides in Jupyter since these are both core programming languages supported by Jupyter. I recently followed these instructions to install an ...

The threat actor behind the malware-as-a-service (MaaS) framework and loader called CastleLoader has also developed a remote access trojan known as CastleRAT. "Available in both Python and C variants, ...

Lake Victoria, the largest freshwater lake in Africa and a vital resource for over 45 million people across Kenya, Uganda, and Tanzania, is experiencing escalating environmental degradation due to ...

During its inaugural developer conference Thursday, Anthropic launched two new AI models that the startup claims are among the industry’s best, at least in terms of how they score on popular ...

Microsoft on Monday announced a partnership with Elon Musk’s AI startup xAI, bringing its controversial Grok models to the company’s cloud platform Azure. The news came during the kickoff of Microsoft ...

Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

AI development is evolving unprecedentedly, demanding more power, efficiency, and flexibility. With the global AI market projected to reach $1.8 trillion by 2030, machine learning brings innovations ...