The training of AI models and AI inferencing consumes vast amounts of water. How can energy and water usage be reduced?
A comparison of how ChatGPT, Gemini, and Claude compare in accuracy, depth, and real-world performance across SEO, coding, ...
The foundations for an agentic internet are already here - what’s changing is how quickly businesses must adapt to it. For years, businesses have focused on user experience (UX), making websites and ...
For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...
Medicine needs real-time, patient-connected data to transform research, AI, and care beyond slow, narrow studies.
The rapid development of artificial intelligence (AI), particularly in foundation models such as large language models, has ...
Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.
Metrum AI and Solidigm use SSD offload and DiskANN to cut memory costs while delivering efficient AI inference at scale, ...
Ant Group today launched LingGuang, a next-generation multimodal AI assistant and the first of its kind in China that interacts with users through code-driven outputs. This press release features ...
Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs ...
Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications for society.
Opinion
The future of AI isn’t chat: Why user experience will make or break the next wave of applications
The real opportunity lies in rethinking how AI integrates into workflows rather than bolting on generic chat interfaces.
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