Europe Wants Data Centers. Its Climate Goals Are Getting in the Way
A plan to funnel the heat given off by data centers into nearby homes has run aground in Germany. Across Europe, policymakers are weighing AI ambitions against climate objectives.
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A plan to funnel the heat given off by data centers into nearby homes has run aground in Germany. Across Europe, policymakers are weighing AI ambitions against climate objectives.
SQL Modernization Day brings together eight sessions from the Microsoft SQL team on moving SQL Server to Azure without the rewrite, then building AI-ready apps once you land. You'll see Azure SQL Database, Hyperscale, Managed Instance, SQL Server on Azure VMs, SQL Server 2025,…
Теперь в API OpenAI можно кэшировать промпты на срок до 12 часов, а для авторизованных пользователей Codex и Work кэш хранится бессрочно. Это означает, что даже спустя несколько часов можно вернуться к старой задаче и продолжить работу с гарантированным попаданием в кэш. Меньше…
ultimate goal isn't just use fewer tokens. >> That's right. In some cases, using fewer tokens might actually produce worse results because your agent might be trying to get the same accuracy by calling multiple times. And so, that is not the best way to optimize just for…
Hi folks. My name is Pam Lahoud and I am a principal product architect on the SQL team. And today I'd like to talk to you a little bit about moving your SQL Server workloads to Azure VMs and then what's possible once you get there. So let's start with a little bit about why you…
Welcome everyone to migrate to Azure SQL and then build something new. In this session, we're going to talk about a working app, how we migrate this from an existing SQL server to Azure SQL and all of this end to end in a demo. So with that, let's get rolling. But before we…
Okay, everyone. Welcome to this session on a new way to manage databases in Fabric. So, I'm Patrick LeBlanc. I am a principal program manage principal product manager on the SQL Server on the Azure data team SQL Server team Azure data team at Microsoft. Um it's today I want to…
Hello everyone. My name is Borko Novakovic and I'm the group product manager in Microsoft SQL team. In today's presentation, I'm going to talk about the new capabilities in SQL Managed Instance or SQL MI that expand uh what's possible during and after migration to Azure. SQL MI…
Well, thanks, Ricardo. This is the next segment of the SQL modernization day. I'm Bob Ward, a principal architect in Azure data. So many of you trust SQL Server with your workloads. And so many of you may be running on older versions of SQL Server running, what is SQL Server…
Hi everyone. My name is Sukant Kaur. I'm a senior product manager in SQL database and fabric. My agenda today is to talk about SQL database and fabric and for that I do want to do a little bit of a baseline on what is fabric and then I will talk about why we created SQL…
Hello everyone. I'm David Plus, a program manager with a background in the SQL Server storage engine in Azure SQL. And today we're going to talk about hypers scale. Hypers scale for every workload. Is it hyper or is it scale? We're going to talk about why it can't be both. So…
Hi, thanks Ricardo. I am super excited to be here to talk about SQL from ground to cloud to fabric and the state of Microsoft SQL. So, let's get right into it. Now, Satya Nadella, everyone knows Satya, recently said that every software company is becoming a software company. And…
This course takes you deep inside the physical infrastructure powering the artificial intelligence revolution. You will learn about the massive power distribution networks, advanced computing racks, and complex cooling systems that make modern AI data centers possible. The…
Will it rain tomorrow? It is decidedly so. Oh, really? How can you be so sure? Reply hazy. Try again. Okay, I'm trying again. How do you know it's going to rain? You seem pretty confident about that. Um. Better not tell you now. Okay. That's not helping. This is clearly not…
Loop engineering is a term that's related to working with AI agents, and it's kind of like the the newer, cooler version of prompt engineering. But with prompt engineering, that's all about writing the one, perfect, ultimate prompt and then sending that prompt to a large…
I was thinking of looking at flight simulation or all general simulation, but but really the sharing of the data. I want to know where you are, you want to know where I am so that we can project something onto a screen and and we can see each other. And there's lots and lots of…
Last week, gas changed the world forever. Twice a Tesla finally unveiled the Roadster and its ability to fly by farting cold gas. But while Elon was busy pulling off his greatest magic trick, Google was cooking up a noble gas of its own, Gemini 4 Argon, which is the most…
I've logged into Vasper and Alder, a fictitious homegoods app. I'm going to use their shopping agent to restyle my room. Let's give this a shot. I'm hosting some people for the holidays. And could you give me some ideas to make this corner of my room warmer? I'm thinking a…
For educational videos and video lessons, subtitles are usually already ready, but I want to add hand-drawn animation in the whiteboard style to them. It is difficult to draw on your own, and ordering such work from someone is expensive. srt-whiteboard-animation is an open AI skill that takes ready-made...
OpenAI reported that approximately 40,000 Codex accounts had usage limits set incorrectly, causing credits to be used up faster than expected. The problem has already been fixed, and affected users will receive compensation. Free loans from $500 to...
🎵 Spotify has removed more than 50 million AI tracks from recommendations since the beginning of the year. The streaming service has stepped up the fight against music spam and low-quality compositions created by neural networks. Another 75 million AI tracks were completely removed for violating platform rules. To identify...
arXiv:2610.26948v1 Announce Type: new Abstract: Conversational recommender systems have recently adopted vision-language models to match user dialogue intents with multimodal product information. However, extending these methods to many product domains faces a dilemma: deploying…
arXiv:2610.26899v1 Announce Type: new Abstract: Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand. The advancement of machine learning algorithms has encouraged researchers to explore their…
Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.
arXiv:2610.26941v1 Announce Type: new Abstract: Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufacturing. However, dynamic environments, complex physical…
arXiv:2610.26904v1 Announce Type: new Abstract: Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specifications. Existing approaches optimize circuit PPA…
arXiv:2610.26913v1 Announce Type: new Abstract: The adoption of Large Language Models for radiology report structuring has been largely dominated by either proprietary cloud-based models or large open models requiring high-end GPUs for deployment, which is a critical bottleneck…
arXiv:2610.26924v1 Announce Type: new Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evidence. Training these capabilities requires diverse and…
arXiv:2610.26942v1 Announce Type: new Abstract: Automated theorem provers often rely on sampling language models, but proof assistants like Lean reject each failed step with a precise error message --- information that pure sampling discards. To overcome this, we introduce a…
arXiv:2610.26964v1 Announce Type: new Abstract: Large language models (LLMs) struggle with classical planning, but benchmarks rarely distinguish structural difficulty from the difficulty of interpreting symbolic vocabulary. We examine seven STRIPS domains with BFS-optimal plan…