Category: AI News
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RingCentral adds Shopify, Calendly, and WhatsApp to AI Receptionist
[ad_1] RingCentral has expanded its AI Receptionist product with new links to Shopify, Calendly and WhatsApp, as the communications software company tries to push the product beyond basic call answering and into more routine customer service tasks. The company said AI Receptionist, known as AIR, can now handle some order enquiries through Shopify, arrange appointments…
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Anthropic Introduces Natural Language Autoencoders That Convert Claude’s Internal Activations Directly into Human-Readable Text Explanations
[ad_1] When you type a message to Claude, something invisible happens in the middle. The words you send get converted into long lists of numbers called activations that the model uses to process context and generate a response. These activations are, in effect, where the model’s “thinking” lives. The problem is nobody can easily read…
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Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes
[ad_1] Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called "dreaming" that lets AI agents learn from their own past sessions and improve over time — a step toward the kind of self-correcting,…
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AI helping ease the UK’s NHS burden
[ad_1] Doccla is a company providing remote patient monitoring and virtual wards to NHS trusts. The Doccla model is “designed both to support earlier discharge and to prevent avoidable admissions, particularly for those with long-term conditions.” There is already evidence for Doccla’s effectiveness, with the NHS seeing a 61% reduction in bed days, an 89%…
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Zyphra Releases ZAYA1-8B: A Reasoning MoE Trained on AMD Hardware That Punches Far Above Its Weight Class
[ad_1] Zyphra AI has released ZAYA1-8B, a small Mixture of Experts (MoE) language model with 760 million active parameters and 8.4 billion total parameters. Trained end-to-end on AMD hardware, the model outperforms open-weight models many times its size on math and coding benchmarks, and is now available under an Apache 2.0 license on Hugging Face…
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Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly
[ad_1] In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between a survey question and the answers from a wide (or targeted) pool of respondents has become a primary…
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Agentic AI Governance Is Now a Product. Are Enterprises Ready?
[ad_1] Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it made agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex…
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Why Gradient Descent Zigzags and How Momentum Fixes It
[ad_1] PLOT_STEPS = 55 x_ = np.linspace(-5, 5, 500) y_ = np.linspace(-2.2, 2.2, 500) X, Y = np.meshgrid(x_, y_) Z = loss(X, Y) fig = plt.figure(figsize=(16, 10), facecolor=”#FAFAF8″) gs = GridSpec(2, 3, figure=fig, hspace=0.45, wspace=0.38, left=0.07, right=0.97, top=0.88, bottom=0.08) COLORS = { “gd”: “#E05C4B”, “mom_good”: “#3A7CA5”, “mom_large”: “#F4A536”, “contour”: “#D4C9B8”, “minima”: “#2A9D5C”, “start”: “#444444”, }…
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Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions
[ad_1] American Express (Amex) is building a system that lets AI agents shop and pay on behalf of users — but right now it’s only within its own payment network, and still involves a black box that could hinder trust and auditability. Amex already participates in agentic commerce protocol projects, especially Google’s Agent Pay Protocol…
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Physical AI raises governance questions for autonomous systems
[ad_1] Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that…