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SenseTime’s Galaxy Project targets domestic AI chip scale-up

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SenseTime has launched the Galaxy Project, teaming with nearly 20 partners to scale domestic AI chip infrastructure in China. In a keynote titled ‘Intelligent Transformation and Symbiosis,’ Yang Fan – the company’s co-founder and president of its Large Device Business Group – laid out what SenseTime describes as a closed loop connecting chip-level technology, ecosystem […]

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Google’s Gemini 3.6 Flash targets enterprise agent token costs

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Google has released Gemini 3.6 Flash and 3.5 Flash-Lite as new workhorses designed to cut latency and token costs for enterprise AI agents. The economics of running autonomous software agents inside a production environment come down to a fixed equation few vendors advertise directly. A model needs to reason through a multi-step task competently, but

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Nokia’s AI-RAN platform: a radio comeback that runs on NVIDIA

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Nokia’s AI-RAN platform arrived on July 15 with a claim worth examining: that it is the industry’s first. The vendor says the platform, built on its anyRAN software and NVIDIA’s Aerial system, will let operators pull far more capacity from the spectrum they already own, and it has framed the launch as one of the most significant

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AWS and Bluesight build AI for hospital 340B compliance

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AWS (Amazon Web Services) has explained how Bluesight developed Prism, an AI layer that connects hospital pharmacy and compliance data across its product suite. Prism Assistant for ControlCheck has reached general availability and operates across 20 health systems, according to AWS vendor statements. Meanwhile, a multi-product agent for 340B Group Purchasing Organisation (GPO) compliance remains

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AI agent crawlers now need permission. Here’s how to get it

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AI agent crawlers, the bots that fetch pages in real time on behalf of a person waiting for an answer, will be blocked by default on a slice of the web from September 15 onwards. Cloudflare announced the change on July 1, and most of the coverage since then has focused on Google. The more useful part

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AWS GraphRAG deployment cuts drug research cycles by 87%

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A recent AWS GraphRAG deployment reduced drug research and development cycles in pharmaceutical environments by 87 percent. This acceleration is achieved by integrating previously separated proprietary databases into a unified and queryable knowledge graph. Historically, initial data gathering and screening phases took over six months per iteration, yielding a low five percent success rate. Crucial

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L’Oreal, Mondelez, and Nestle use AI to speed product development

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L’Oreal is using AI to shorten product development timelines and identify new uses for ingredients already present in its portfolio. The French cosmetics group has applied AI in its laboratories for the past four years, with Fabrice Megarbane, president of L’Oreal’s consumer products division, telling Reuters that the technology helps the company predict how molecules

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Takeda signs US$600M AI drug discovery deal with Insilico

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Takeda has entered a strategic collaboration with Hong Kong-based Insilico Medicine to use AI in early-stage drug discovery across the Japanese pharmaceutical company’s therapeutic areas. The companies did not disclose which therapeutic areas or disease targets will be covered under the collaboration. The agreement gives Takeda access to Insilico’s Pharma.AI platform, which supports biological target

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NVIDIA BioNeMo accelerates Anthropic Claude Science

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Anthropic Claude Science now integrates the NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research. Anthropic has launched the public beta of Claude Science, an AI workbench built for scientific research. The platform enables scientists to converse directly with digital agents using natural language to execute end-to-end research workflows. This system connects natively to

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Deploying retail AI to scale personalisation and customer insight

ai, AI (Artificial Intelligence), AI Business Strategy, AI Hardware & Chips, AI in Action, AI Market Trends, Analytics, Artificial Intelligence, automation, Computer vision, Data Engineering & MLOps, Deep Dives, edge computing, Features, infrastructure, Infrastructure & Hardware, Marketing AI, multimodal, Multimodal AI, Natural Language Processing (NLP), Open-Source & Democratised AI, Personalisation, physical ai, Reinforcement Learning, Retail, Retail & Logistics AI, Software, strategy, World of Work

Optimising retail AI infrastructure drives the successful deployment of personalisation systems and real-time customer insight. Leaders are replacing static customer interaction patterns with data pipelines capable of modifying the user environment during a live session. Static layouts and broad segmentation rules fail to satisfy modern conversion targets. Deployments demonstrate that traditional demographic categorisation generates insufficient

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