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The new operational troubleshooting agent is part of a planned suite of AI agents powered by the Adobe Experience Platform Agent Orchestrator.
When training an LLM has enormous costs and environmental impact, it’s worth asking what we gain by creating another one—especially if it isn’t that different from other models.
A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations when they emerge so quickly.
The tech giant offers a plan to form a group focused on agentic AI but no actual technologies or systems. What does this say about the future of its cloud leadership?
Self-sufficiency in AI has become a top priority for the company, but homegrown models rumored for release last year are still in testing.
For companies struggling with high cloud costs, talent shortages, and data integration problems, a groundbreaking quantum processor isn’t the answer.
Deep neural networks have hit a wall. An entirely new, backpropagation-free AI stack promises to be orders of magnitude more performant.
After many years of work, Microsoft has unveiled its first quantum hardware, the Majorana 1 processor. Let’s grok its topoconductor and tetron-based qubits.
GenAI is getting faster but not more accurate. If the technology can’t provide correct answers, we should limit it to use cases where plausibility is enough.
Hype can be excessive and obnoxious and lead to waste and false promises. It is also a crucial catalyst of experimentation and innovation.
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