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The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors from OpenAI to Midjourney have jockeyed for second place. That hierarchy shifted on Sunday when Luma AI, a startup better known for its Dream Machine video generation tool, publicly released Uni-1 — a model that doesn't just compete with Google on image quality but fundamentally rethinks how AI should create images.
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VentureBeat
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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My version of financial freedom is working less and having time to enjoy each day. Read more ›
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Я готовил участок под модульный дом в тайге, находясь за 3 500 км от объекта. Нулевой цикл занял четыре месяца и стоил около 2,8 млн ₽ еще до первого фундаментного блока. В статье разбираю, как искал землю, делал топосъемку, подводил электричество, организовывал подъезд и контролировал подрядчиков удалённо – с цифрами, ошибками и выводами по планированию. Меня зовут Самир. Я не строитель и не инженер, а маркетолог, поэтому подходил к стройке... Read more ›
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There's more to towing than hitching up a load and setting off. You should ensure that your vehicle's prepared for the task, and that goes for your tires too. Read more ›
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The next big wearable trend may not count steps or calories at all—it may try to score your focus, fatigue, and readiness. Read more ›
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Reports of YouTube freezing browsers and consuming massive amounts of RAM are spreading online, with developers tracing the issue to a suspected UI bug that may trigger endless layout recalculations and severe system lag. Read more ›
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Apple's new AirPods Max 2 launched last month, and Amazon is still one of the only retailers offering a discount on the headphones. You can get the Midnight, Purple, and Starlight color options for $509.99 on Amazon, down from $549.00. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep... Read more ›
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В прошлой статье мы с вами полностью разобрали схемотехнику и изучили компонентную базу легендарного телефона из 90-х годов - Motorola StarTAC. Девайс 1997 года отличался очень низким уровнем интеграции: даже такие базовые вещи, как модем (бейсбенд), DSP и RF-фронтэнд представляли из себя отдельные модули на плате. Однако уже через год, в 1998 году, Motorola представила StarTAC, где наконец объединила DSP, аудиокодек и процессор в единый кристалл.Казалось бы, вот оно чудо... Read more ›
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The new poll suggests the vast majority of people think that government officials should keep their own financial interests separate from the industry. Read more ›
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Americans had a generally unfavorable view of cryptocurrencies, the survey of 1,000 randomly selected registered voters found. Read more ›
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Both phones flip the same way, look nearly identical, and run the same software. So where exactly does Motorola's $400 premium actually go? Read more ›
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New polling of voters suggests they aren't yet warming much to crypto, tending to see it as a negative force in the economy, and they have similar distrust of AI. Read more ›
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We've compared the iPhone 17 and iPhone Air in detail to help you decide which one to buy. Read more ›
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Following a significant surge in sales performance, Xiaomi is preparing to expand its electric vehicle (EV) portfolio with the high-performance YU7 GT. This development comes as the tech giant solidifies its position in the automotive industry, demonstrating a manufacturing and logistical capacity that has exceeded initial market expectations. According to CNevPost, Xiaomi’s automotive division reported a substantial growth trajectory in early 2026. In April, the company delivered over 30,000 units,... Read more ›
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I often visit Northern Ireland and see tourists making the same common mistakes, like only visiting crowded sites and not learning about the Troubles. Read more ›
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Looking for the ultimate driving machine? The famous luxury brand BMW just dominated the road tests, but you might want to check the repair bills first. Read more ›
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Последние несколько лет в рамках своей работы в коммуникационном агентстве «ЛАМПА» я активно занимаюсь пиаром IT-бизнеса: облачные провайдеры, инфраструктурные продукты, ИБ-вендоры, стартапы на разных стадиях. За это время насмотрелась на сотни корпоративных сайтов, пресс-релизов и экспертных статей, могу с уверенностью назвать главный парадокс рынка: компании, которые разрабатывают сложнейшие IT-продукты, нередко оказываются совершенно беспомощны в том, чтобы объяснить, зачем они нужны. Потенциальный кл Read more ›
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Physicists are rethinking one of quantum mechanics’ biggest puzzles: how fuzzy possibilities become definite reality. New research suggests that spontaneous “collapse” processes—possibly linked to gravity—could subtly blur time itself. This wouldn’t affect clocks we use today, but it reveals a hidden limit to how precise time can ever be. The findings open a new path toward uniting quantum physics with gravity. Read more ›
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I went silent in my family group chat for six months as a quiet experiment. Two people out of fourteen noticed. Here's what the silence revealed about the difference between being needed and being known. Read more ›
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VentureBeat
The stochastic challengeTraditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and unpredictable. The exact same prompt often yields different results on Monday versus Tuesday, breaking the traditional unit testing that engineers know and love.To ship enterprise-ready AI, engineers cannot rely on mere “vibe checks” that pass today but fail... Read more ›
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Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis.The paper, "Training for Compositional Sensitivity Reduces Dense Retrieval Generalization," tested what happens when teams train embedding models for compositional sensitivity. That is the ability to catch sentences that look nearly identical but mean something different — "the dog bit the man" versus... Read more ›
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Presented by EdgeverveSupply chains are where legacy integration models reach their limits. As partner networks expand and operational volatility increases, traditional middleware is buckling under costs and complexity. That’s why supply chain has emerged as a proving ground for automation‑led integration Platform as a Service (iPaaS), a next-generation model designed to absorb constant change without rewriting the stack.This article takes a look at today’s supply chains, the limits of legacy... Read more ›
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AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck by automating the full optimization loop for training data, model architectures, and learning algorithms.A new framework called ASI-EVOLVE, developed by researchers at the Generative Artificial Intelligence Research Lab (SII-GAIR), aims to solve this bottleneck. Designed as an agentic system... Read more ›
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Xiaomi, the Chinese firm best known for its smartphones and electric vehicles, has lately been shipping some incredibly affordable and high-powered open source AI large language models.The trend continued today with the release of Xiaomi MiMo-V2.5 and Xiaomi MiMo-V2.5-Pro, both available under the permissive, enterprise-friendly MIT License, making them suitable for use in production in commercial applications. Enterprises and individual/independent developers can now download either of the models (and more Read more ›
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Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two companies together for years and replacing them with a looser, time-limited arrangement that gives both sides far more freedom to pursue rival relationships.The amended agreement, disclosed simultaneously in blog posts from both companies, marks the most significant restructuring since Microsoft... Read more ›
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Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.The product, which launches as part of Mistral's Studio platform, is the company's clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that... Read more ›
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The AI race lately has felt a bit like a game of tennis: first, Anthropic releases a new, pricey state-of-the-art proprietary model for general users (Claude Opus 4.7), then, a week or so later, its rival OpenAI volleys back with one of its own (GPT-5.5). And all the while, Chinese companies like DeepSeek and even Xiaomi are seeking to appeal to users by playing a different game: nearing the frontier,... Read more ›
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Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying on reinforcement learning techniques that provide sparse feedback.Researchers at JD.com and several academic institutions recently introduced a new training paradigm that sidesteps this dilemma. The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the rel Read more ›
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For most data engineering teams, managing pipeline reliability often means waiting for an alert, manually tracing failures across distributed jobs and clusters, and fixing problems after they've already hit the business. Agentic AI needs the data to be there, clean and on time. A pipeline that fails silently or delivers stale data doesn't just break a dashboard — it breaks the AI system depending on it.That gap is what Definity,... Read more ›
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03.05.2026 10:38
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