AI
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Apple nears deal to pay Google $1B annually to power new Siri, report says
Apple is nearing a deal with Google in which the iPhone maker will pay the tech giant about $1 billion…
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AI’s capacity crunch: Latency risk, escalating costs, and the coming surge-pricing breakpoint
The latest big headline in AI isn’t model size or multimodality; it is the capacity crisis. At VentureBeat’s latest AI…
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Pinterest CEO touts open source AI: ‘tremendous performance’ with reduced costs
During an earnings call on Tuesday, Pinterest CEO Bill Ready highlighted the promise of open source AI models to help…
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The agent builder arms race continues as Google Cloud pushes deeper into orchestration and ops
The push toward agentic enterprises continues as companies compete to keep developers on their platforms throughout the agent lifecycle. Google…
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Google Maps bakes in Gemini to improve navigation and hands-free use
Over the past year, Google has added multiple AI features to Maps to improve discovery and allow users to ask…
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98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem
Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their…
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Goldman Sachs doubles down on MoEngage in new round to fuel global expansion
MoEngagea customer engagement platform that works with consumer brands in 75 countries, says it has raised new funding led by…
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
When the transformer architecture was introduced in 2017 in the now seminal Google paper “Attention Is All You Need,” it…
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Amazon sends legal threats to Perplexity over agentic browsing
Amazon has told Perplexity to remove its agent browser from its online store, the companies publicly confirmed on Tuesday. After…
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Databricks research reveals that building better AI judges isn't just a technical concern, it's a people problem
It’s not the intelligence of AI models that is holding back enterprise implementations. It is primarily the inability to define…
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