News

Data Centers 2.0: How AI Is Transforming Operations
As AI’s role in business and society continues to grow, the infrastructure that supports these workloads must adapt.
How Huawei’s Ascend AI chips outperform Nvidia processors in running DeepSeek’s R1 model
Performance of Huawei’s AI data centre architecture, CloudMatrix 384, illustrates the firm’s progress in overcoming US tech ...
Gemini 2.5 Flash Hybrid Reasoning AI Optimized for AI Thinking for Efficiency
Discover Google’s Gemini 2.5 Flash, the AI model that optimizes thinking, reduces costs, and adapts to your needs with hybrid ...
Startup Typedef gets $5.5M seed funding to build customized data pipelines for AI model workloads
Startup Typedef gets $5.5M seed funding to build customized data pipelines for AI model workloads - SiliconANGLE ...
InfoWorld8d
Building an analytics architecture for unstructured data and multimodal AI
AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...
Network World2mon
What are GPUs? Inside the processing power behind AI
As demand for speed and data processing explodes ... such as lower-level AI workloads (like inferencing, or model training). It’s important to note that GPUs and CPUs work together, each ...
VentureBeat1mon
Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration
Instead of running a data processing job every hour ... emails and documents. A large language model (LLM) can be used to transform unstructured information into structured data.
Science Daily6mon
Managing forests with smart technologies
To protect forests, scientists have developed Forest 4.0, an intelligent forest data processing model integrating blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) technologies.