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Gong, the revenue intelligence company that has spent a decade turning recorded sales calls into data, today launched what it calls Mission Andromeda — its most ambitious platform release to date, bundling a new AI-powered coaching product, a sales-focused chatbot, unified account management tools, and open interoperability with rival AI systems through the Model Context Protocol.The release arrives at a pivotal moment. The revenue technology market is consolidating at a pace that would have been unthinkabl
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An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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XRP is trading around $1.50, just above a key options cluster at $1.40 on Deribit. Read more ›
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The OnePlus 15T has an official launch date, featuring flagship specs and a massive battery in a compact form factor. Read more ›
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Зарубежные вывески на фасадах зданий стали привычным элементом городской среды. Но с 01.03.2026 вступают в силу нормы закона, ограничивающие использование иноязычных слов в общедоступных местах. Какие расходы повлечет законодательное новшество В связи с вынужденными изменениями компании понесут существенные затраты. Ощутимые расходы пойдут на демонтаж старых вывесок и изготовление новых. Причем важна замена не только фасадов, но и внутреннего убранства. Поэтому в план расходования включите также обновлен Read more ›
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Many people who can't relax aren't failing at rest — they're succeeding at threat-scanning, a competing neurological process that doesn't have an off switch you can flip with a scented candle. Read more ›
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Enterprise AI is moving beyond assistive use cases, with agents increasingly expected to plan, coordinate, and carry out complex workflows… Read more ›
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This series features conversations between FT journalists and the technology industry’s leaders, innovators, and thinkers. In the latest instalment, GV’s Tom Hulme talks about the AI investment cycle and predicts a comeback for Google Glass-style smart glasses Read more ›
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Иногда тормоза в коде выглядят как что-то сложное: тяжёлые алгоритмы, огромные базы данных, медленный диск. Но чаще всё намного банальнее — один неудачный цикл, который выполняется миллионы раз. Читать далее Read more ›
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The exhaustion many fathers carried wasn't physical. It was the invisible tax on decades of performing certainty so everyone around them could feel safe — and recognizing this pattern in your forties changes how you understand both your father and yourself. Read more ›
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Alma CEO Louis Chatriot on hard choices, cardboard unicorns and startup hype ‘bullshit’ Read more ›
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Blockbuster junk bond and loan offering will test investor appetite at a time of heightened nerves over AI disruptions Read more ›
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Stanford researchers analysing 391,000 messages warn conversational technology may reinforce psychological vulnerabilities Read more ›
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Rift deepens as start-up tests limits of Microsoft’s exclusive rights to host its models Read more ›
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Explore today’s top DoorDash promo codes for $25 off your first order, free delivery, and up to 50% off for existing customers. Read more ›
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Save up to 77% on 2-year plans and get 3 free months with our NordVPN discount codes. Read more ›
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Множество Мандельброта. 80-бит FPU x87. OpenMP - параллельным программированием на уровне многопоточности. Синий, зеленый и красный - синусоидальными и косинусоидальными волнами: 127 + 127 cos(2 PI a / 255) и 127 + 127 sin(2 PI a / 255). DwmFlush - синхронизация с монитором 60 fps. Суперсэмплинг 2x2 (4 прохода). Делал я. Посмотрите - движется! Я сделал на g++. Свободно распространяемого компилятора языка C++. Скачайте и посмотрите! Это экзешник, в ГитХаб.github:... Read more ›
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Iran war puts Europe’s air defence startups in the spotlight: ‘The gap is impossible to ignore’ Read more ›
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VentureBeat
For decades, software companies designed their products for a single type of customer: a human being staring at a screen. Every button, menu, and dashboard existed to translate a person’s intention into a machine’s action. But a small startup based in San Francisco and Zurich believes that era is ending — and that the future belongs to companies that build software not for people, but for the artificial intelligence agents... Read more ›
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Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the public preview availability of Gemini Embedding 2, its new embeddings model — a significant evolution in how machines represent and retrieve information across different media types. While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical... Read more ›
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Anthropic has upgraded its Claude AI model with new capabilities for Microsoft Excel and PowerPoint, marking a strategic move to expand its enterprise footprint and potentially challenging Microsoft’s newly launched Copilot Cowork — which Claude also partially powers. The updated add-ins are available to Mac and Windows users on paid Claude plans starting today, March 11. Anthropic is also expanding how enterprises can deploy the tools. Claude for Excel and... Read more ›
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Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their cost-effectiveness in handling enterprise tasks. But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face.By merging disparate architectural philosophies—state-space models, transformers, and a novel "Latent" m Read more ›
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Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.The obvious workaround is spot GPU markets — renting spare capacity to whoever needs it. But spot instances mean the cloud vendor is still the one doing the renting, and engineers buying that capacity are still paying for raw compute... Read more ›
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What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language models scaled to million-token context windows, a credible argument circulated among enterprise architects: purpose-built vector search was a stopgap, not infrastructure. Agentic memory would absorb the retrieval problem. Vector databases were a RAG-era artifact.The production evidence is... Read more ›
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The software engineering world is currently wrestling with a fundamental paradox of the AI era: as models become more capable, the "systems problem" of managing them has become the primary bottleneck to real-world productivity. While a developer might have access to the raw intelligence of a frontier model, that intelligence often degrades the moment a task requires a long horizon or a deep context window. But help appears to be... Read more ›
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NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let teams run agents inside Docker Sandboxes, a move aimed at one of the biggest obstacles to enterprise adoption: how to give agents room to act without giving them room to damage the systems around them.The announcement matters because the market for AI agents is shifting from novelty to deployment. It... Read more ›
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Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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18.03.2026 02:19
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