611 place 0
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.
A newsletter a day!
You may get 10 most important news around midday in daily newsletter. Press the button and we will send you the most important news only, no spam attached.
LIKE us on Facebook so you won't miss the most important news of the day!
An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
0
A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
0
IAC, the parent company of Ask Jeeves, is finally putting the search engine out to pasture after 30 years. Read more ›
0 newcommer
Celery популярен. Модель prefork работает по умолчанию. Autoscale смотрится неплохим вариантом для любого воркера.Идея посмотреть, как выглядит механизм изнутри родилась давно, когда по работе сталкивался с проблемами у клиентов в отложенных задачах, но никаких артефактов или задокументированного аномального поведения не было. Это стартовая статья об архитектуре, моделях и масштабировании Celery. Читать далее Read more ›
0 newcommer
Finova opens a Manchester hub creating 50+ jobs, showing AI adoption can drive employment growth in financial services. Read more ›
0 fresh
After a decade of defaulting to the word 'tired,' I realised it was never the truth — just the version of the truth nobody would follow up on. On emotional labour, the cost of vague vocabulary, and the word I was actually looking for. Read more ›
0 fresh
AMD promotes open platforms for space AI, arguing modular systems reduce vendor lock-in risks while improving flexibility across complex multi-supplier mission environments. Read more ›
0 fresh
Обычно, когда говорят про чиптюн, вспоминают звуковой чип SID на Commodore 64, или же Амигу и её MOD-файлы. Если речь про ПК, это будет тот же MOD и его наследники в лице форматов XM и IT. Но в истории программ для MS-DOS был один краткий музыкальный период совершенно другого рода. Он одновременно родственен и самому ПК, и чиптюну на 8-битках, и компьютерам практически с другой планеты, многочисленным японским ПК —... Read more ›
0 fresh
Logitech’s non-'pro' keyboard is the first switch hitter of the analog switch era. Read more ›
0 fresh
I love when my friends have their fridges covered in Polaroids. It’s often a visual crash course of what’s been going on in their lives chronicling recent adventures, get-togethers, and other fun moments. But I don’t love the idea of schlepping around a clunky instant camera or paying a premium for instant film with hit-or-miss […] Read more ›
0 fresh
Figure’s $1 billion month capped a years-long push to strip out middlemen from credit markets, bringing real-world assets, lending and even equities onchain. Read more ›
0 fresh
It's not hyperbole to call DualShot Recorder an overnight sensation. It took only 12 hours from the time it was released to hit number one on the App Store's list of top paid apps. It was a surprise success - but what's even more surprising is the app's origin story: it all started with a […] Read more ›
0 fresh
The most successful people under pressure have discovered what psychology confirms: knowing exactly when to stop pushing isn't weakness — it's the sophisticated system that separates those who burn out from those who sustain peak performance for decades. Read more ›
0 fresh
Gilead is tightening its grip as Mayday's plans become clearer. But when does The Testaments episode 7 drop on Hulu and Disney+? Read more ›
0 fresh
Anthropic has reportedly held early discussions with London-based chip startup Fractile about purchasing the company's inference accelerators. Read more ›
0 fresh
Любому маркетологу знакомо понятие экономики внимания — на ней, собственно, строится весь текущий рынок в большинстве сфер товаров и услуг. Но борьба за внимание уже подходит к концу, и на её место приходит кое-что поинтереснее.Энтерпрайз, гиганты рынка, платформы, медиа и влиятельные системы постепенно переходят от борьбы за внимание к борьбе за намерение, а затем — за саму волю человека. Звучит как сюжет дешёвой антиутопии, но на деле это уже работающая... Read more ›
0 fresh
Моки — достаточно крутой инструмент, если использовать его правильно.И все-таки лично для меня писать и поддерживать тесты на моках всегда было отдельным видом боли. Думаю, все знакомы с ситуацией: добавил в метод новый аргумент — и пошёл в 30 тест-кейсов проставлять заглушки. И это только от одного нового аргумента.И я не буду здесь спорить о терминологии — в этой статье я буду называть все тестовые дублёры «моками». Примеры будут на... Read more ›
0 fresh
From ticket prices to noise levels, here's what it's really like taking a child to an F1 race — and what I'd change next time. Read more ›
0 fresh
A YouTuber traversing the entirety of the Pan-American highway with his Tesla completely drained the high-voltage battery. How did he sort this out? Read more ›
0 fresh
I'm a mom of three kids, ages 5, 3, and 1, and though we live in the suburbs, we walk whenever possible. They love it — for the most part. Read more ›
0 fresh
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
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 ›
0
Most popular sources
|
|
0% |
|
|
0% |
|
|
0% |
|
|
0% |
|
|
0% |
| View sources » | |
LIKE us on Facebook so you won't miss the most important news of the day!
03.05.2026 09:33
Last update: 09:25 EDT.
News rating updated: 16:20.
What is Times42?
Times42 brings you the most popular news from tech news portals in real-time chart.
Read about us in FAQ section.