Nour EM (@NourMatMagic) header
Nour EM (@NourMatMagic) profile picture

Material magician at Indevco Group | Nanotech enthusiast ๐ŸŒฟ๐Ÿ“˜๐Ÿ›๏ธ

Amman
Joined November 2023
Nour EM retweeted
TSMCโ€™s plan for 24-hour R&D failed in 6-months during 40nm process development, said Co-COO Y.P. Chyn, media report. The โ€˜Night Owlโ€™ program was designed to overtake global rivals by running R&D 24/7 against their 8-hour days. Instead, TSMC found success through its โ€˜One Teamโ€™ approach, which broke down barriers between teams by combining R&D and manufacturing personnel to tackle tough jobs jointly. R&D relies on brain power, creativity, problem solving, said Chyn, not adding more work hours. $TSM #semiconductors money.udn.com/money/story/56โ€ฆ
ๅฐ็ฉ็งฆๆฐธๆฒ›้ฆ–ๆญ40ๅฅˆ็ฑณๆˆ็ซ‹ๅคœ้ทน้ƒจ้šŠๅŠๅนดๅฎฃๅ‘Šๅคฑๆ•— | ็”ขๆฅญ็†ฑ้ปž | ็”ขๆฅญ | ็ถ“ๆฟŸๆ—ฅๅ ฑ

ๅฐ็ฉ็งฆๆฐธๆฒ›้ฆ–ๆญ40ๅฅˆ็ฑณๆˆ็ซ‹ๅคœ้ทน้ƒจ้šŠๅŠๅนดๅฎฃๅ‘Šๅคฑๆ•— | ็”ขๆฅญ็†ฑ้ปž | ็”ขๆฅญ | ็ถ“ๆฟŸๆ—ฅๅ ฑ

ๅฐ็ฉ้›ปๅŸท่กŒๅ‰ฏ็ธฝๆšจๅ…ฑๅŒ็‡Ÿ้‹้•ท็งฆๆฐธๆฒ›ไปŠๆ—ฅๅ‡บๅธญ่ฏๅˆๅ ฑ็ณปใ€Œ่ฏๅˆไธƒไบ” ๆ™บๆ…งๆœชไพ†ใ€็ณปๅˆ—ๆดปๅ‹•๏ผŒๅœจๆˆๅŠŸๅคงๅญธ่ˆ‡ๅญธ็”Ÿๅฐ่ซ‡ๆ™‚้ฆ–ๅบฆๆญ้œฒ้€้œฒ๏ผŒๅฐ็ฉ้›ป้ŽๅŽปๆ›พ็‚บๅŠ ้€Ÿ่ฟฝ่ถ•ๅœ‹้š›ๅ…ˆ้€ฒ่ฃฝ็จ‹๏ผŒๆŽจๅ‹•็ ”็™ผๅทฅ็จ‹ๅธซๅคœ้–“ๅทฅไฝœ็š„ใ€Œๅคœ้ทน่จˆ็•ซใ€๏ผŒๅฏฆๆ–ฝๅŠๅนดๅฐฑๅฎฃๅ‘Šๅคฑๆ•—๏ผŒ่ฎ“ๅ…ฌๅธ้ซ”่ชใ€ŒR&D๏ผˆ็ ”็™ผ๏ผ‰้ ็š„ๆ˜ฏ่…ฆๅŠ›๏ผŒไธๆ˜ฏๅ‹žๅŠ›ใ€๏ผŒ่€ŒๅพŒไพ†้€ๆผธๅปบ็ซ‹็š„ใ€ŒOne Teamใ€ๆ–‡ๅŒ–๏ผŒๆ‰ๆ˜ฏๆŠŠ็ ”็™ผๆŠ€่ก“ๆŽจๅ‘ๅ…จ็ƒไน‹้ก›็š„้‡่ฆๅ› ็ด ใ€‚

money.udn.com
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Nour EM retweeted
Our firmโ€™s back of the napkin math shows that Nvidiaโ€™s $NVDA ACIE segment could potentially overtake hyperscalers in two to six quarters. This is an important development as it results in Nvidiaโ€™s revenue being more resilient as hyperscalers shift capex toward designing and deploying their own custom chips. ACIE revenue grew faster than hyperscaler revenue last quarter at 138.5% compared to 101.2%, respectively. After reclassifying one company, the QoQ growth for ACIE was 25% compared to hyperscalers at 13%. Depending on how you model the two-quarter lumpiness, ACIE can conservatively overtake hyperscalers in 5-6 quarters at a 14% QoQ growth rate versus 10% QoQ growth rate for hyperscalers, or as soon as 2 quarters if the Q2 pace continues. In early September, Dell $DELL was in agreement with Nvidiaโ€™s results, stating that enterprises and neoclouds could contribute half of AI data center capacity growth through 2030, creating a $1 trillion total addressable market (TAM): โ€œWeโ€™re expecting AI to be 75% of all data center demand by 2030, adding 200 gigawatts of power over that same time frame. And half of that, we believe, is right in our sweet spot with our customers, the Neoclouds, sovereigns and enterprises. And if you look at that math, we think the opportunity in front of us is more than $1 trillion over that time frame.โ€ Although it may seem counterintuitive for Nvidia, Dell or Super Micro $SMCI to emphasize enterprise and neocloud customers over the hyperscalers and their $1 trillion capex next year, the reason is simple. Unlike the hyperscalers, these customers do not have those budgets to splurge tens of billions on custom chips. Instead, demand is more concentrated in ready-to-deploy servers that can immediately be brought online to generate revenue for immediate ROI, which Dell and Super Micro can do in as little as six hours to one day.
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Unitree shipments to increase to 30,000 units in 2027, up from 10,000-12,000 units in 2026. Humanoids shipment volume picking up.
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This reminds of a scene out of Star Wars. Humanoid robots are evolving at a crazy speed. #humanoidrobots #Humanoidrobot
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Most people โ€˜learn AI.โ€™ The smart ones learn how to build agents. ๐Ÿš€ ๐—ง๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ (Microsoft AI Stack) Hereโ€™s how to become an AI Agent Expert using Microsoft ecosystem ๐Ÿ‘‡ ๐Ÿง  Step 1 โ€” Build Foundations Start with the basics (donโ€™t skip this): Azure AI Fundamentals (AI-900) โ†’ Core AI + ML concepts Power Platform Fundamentals (PL-900) โ†’ Understand automation & apps ๐Ÿงฉ Step 2 โ€” Learn AI in Business Context Move beyond theory: AI Transformation Leader (AI-731) โ†’ Align AI with business goals โš™๏ธ Step 3 โ€” Get Hands-On with Agents This is where real skills start: AI Agent Builder (AI-620) โ†’ Build Copilot + multi-agent systems Agent Admin Fundamentals (AI-900) โ†’ Manage AI environments ๐Ÿ—๏ธ Step 4 โ€” Architect AI Solutions Think like a system designer: AI Business Solutions Architect (AI-100) โ†’ Enterprise AI architecture ๐Ÿ”„ Step 5 โ€” Master Copilot Ecosystem Level up with practical execution: Copilot Studio Academy (Recruit โ†’ Operative) โ†’ From basics to multi-agent orchestration ๐Ÿ“ฑ Step 6 โ€” Build Intelligent Apps Ship real-world products: Intelligent App Builder (AI-410) โ†’ AI-first apps with governance & ALM Youโ€™re no longer โ€œlearning AIโ€ You are: โœ” Building agents โœ” Automating workflows โœ” Designing AI systems โœ” Delivering business impact ๐Ÿ’ก Reality check: Certificates donโ€™t make you an expert. Execution + Projects do. ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐—ฎ๐˜ ๐—”๐—œ ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿญ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ ๐—ฎ ๐—ฑ๐—ฎ๐˜†. ๐—๐—ผ๐—ถ๐—ป ๐—บ๐˜† ๐˜„๐—ฒ๐—ฒ๐—ธ๐—น๐˜† ๐—ป๐—ฒ๐˜„๐˜€๐—น๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—œ ๐—ฑ๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐—ท๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† ๐—ผ๐—ณ ๐—”๐—œ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป. ๐Ÿ‘‰ ๐—ฆ๐—ถ๐—ด๐—ป ๐˜‚๐—ฝ ๐—ณ๐—ฟ๐—ฒ๐—ฒ now โ†’ avsl.beehiiv.com/ Follow @AiswaryaVenkit1 for more such insights!!
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Groq is said to be considering using 3D stacked DRAM in next-gen chip architectures, in a possible shift away from its current SRAM-based designs as SRAM capacity is reportedly increasing just 10-20% every two years. $NVDA $MU $AMD
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GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY." 30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead. Most people think building an agent requires an engineering degree. It doesn't. It requires one guide and one afternoon. Watch the interview. One guide. One afternoon. That's all it takes.
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Alan Turing's paper demonstrating how the operations of a computer can be controlled through a program of instructions stored in its memory.
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Mark Your Calendar! How Preclinical Manufacturing Can De-Risk the Path to GMP-Ready Viral Vector Programs Register for this FREE webinar sponsored by SK pharmteco: hubs.li/Q04BPbNf0 #AnimalModels #AssayDevelopment #Toxicology
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Nour EM retweeted
Replying to @Mark_AAIG
@Mark_AAIG and I just came off an interesting call with ZutaCoreโ€™s CTO, My Truong, previously Field CTO at Equinix, who has a long history in data-center infrastructure. A great talk with a lot of insights. The immediate priority is time to token. That is very clear in the market right now. We also discussed the adoption of new cooling techniques, who the early adopters will be, and where the economics will sit. In my view, there is a lot of potential pricing power in the critical components, system integration and service. To expand on my broader view, I wrote this article on AI cooling, the investment angle, and what optimized cooling can mean for neocloudsโ€™ operating costs and cash flow. $NUAI $IREN $NBIS $NVDA
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Nour EM retweeted
XPeng is making solid-state batteries for IRON. The humanoid's dedicated pack entered small-batch production. XPeng says it passed impact and nail-penetration tests. IRON itself is still in pre-production. Target: mass production by the end of 2026.
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Nour EM retweeted
People are still vastly underestimating the true value of compute. By orders of magnitude.
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Ready to take simulation beyond SOLIDWORKS? Explore advanced FEA with Abaqus, electromagnetics with CST Studio Suite & CFD with SIMULIA. Empower students and researchers to tackle complex engineering challenges. ๐ŸŽฅ Watch the on-demand webinar: hubs.ly/Q04CwN8t0
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From vision to agents, Azure covers the stack. Microsoft has built a connected AI ecosystem for analyzing images, understanding language, processing documents, searching enterprise knowledge, training models, orchestrating agents, and enforcing safety. Hereโ€™s what each service brings: โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—ฉ๐—ถ๐˜€๐—ถ๐—ผ๐—ป Analyzes images, videos, objects, faces, and visual text. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—ฆ๐—ฝ๐—ฒ๐—ฒ๐—ฐ๐—ต Converts speech to text, generates voices, and translates audio. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ Extracts sentiment, entities, summaries, intent, and meaning from text. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—น๐—ฎ๐˜๐—ผ๐—ฟ Translates content across languages for applications and workflows. โ†’ ๐——๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ Extracts fields, tables, text, and structure from documents. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต Supports keyword, vector, semantic, and hybrid retrieval. โ†’ ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฟ๐˜† ๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐—–๐—ฎ๐˜๐—ฎ๐—น๐—ผ๐—ด Helps teams compare and deploy models from multiple providers. โ†’ ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฟ๐˜† ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ Builds agents that use tools, retain memory, and complete multi-step workflows. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด Trains, deploys, manages, and monitors custom machine learning models. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—ข๐—ฝ๐—ฒ๐—ป๐—”๐—œ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ Powers chat, reasoning, embeddings, and generative AI applications. โ†’ ๐—–๐—ผ๐—ป๐˜๐—ฒ๐—ป๐˜ ๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด Processes documents, images, audio, and video in multimodal workflows. โ†’ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐—”๐—œ ๐—–๐—ผ๐—ป๐˜๐—ฒ๐—ป๐˜ ๐—ฆ๐—ฎ๐—ณ๐—ฒ๐˜๐˜† Detects harmful, unsafe, or policy-violating content. ๐—ž๐—ฒ๐˜† ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜: Azure AI is not one service. It is a modular stack where teams can choose the right capability for perception, retrieval, reasoning, orchestration, deployment, and protection. Which Azure AI service is most important for the solution you are building right now? ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐—ฎ๐˜ ๐—”๐—œ ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿญ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ ๐—ฎ ๐—ฑ๐—ฎ๐˜†. ๐—๐—ผ๐—ถ๐—ป ๐—บ๐˜† ๐˜„๐—ฒ๐—ฒ๐—ธ๐—น๐˜† ๐—ป๐—ฒ๐˜„๐˜€๐—น๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—œ ๐—ฑ๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐—ท๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† ๐—ผ๐—ณ ๐—”๐—œ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป. ๐Ÿ‘‰ ๐—ฆ๐—ถ๐—ด๐—ป ๐˜‚๐—ฝ ๐—ณ๐—ฟ๐—ฒ๐—ฒ now โ†’ avsl.beehiiv.com/ Follow Aiswarya Venkitesh for more such insights!!
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Nour EM retweeted
CNC turning helps control diameters and axial relationships for suitable custom medical components, supporting consistent fit across production. What matters most โ€” quality, consistency, or delivery? #CNCTurning #MedicalDevices #PrecisionMachining
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Azure becomes easier when you see the whole system. It is not one cloud service. It is an interconnected ecosystem for building, deploying, securing, monitoring, and scaling modern applications. The foundation starts with compute and hosting: โ†ณ Azure Virtual Machines โ†ณ App Service and Functions โ†ณ Container Apps and Kubernetes Service โ†ณ Virtual Machine Scale Sets Storage services such as Blob Storage, Data Lake Storage, Azure Files, Disk Storage, and Backup support everything from application files to enterprise-scale analytics. For structured and high-speed data, Azure provides SQL Database, PostgreSQL, MySQL, Cosmos DB, and Managed Redis. Networking connects each layer through: โ†ณ Virtual Network and Private Link โ†ณ Front Door and Load Balancer โ†ณ Application Gateway and DNS Azure also supports event-driven systems through Event Grid, Event Hubs, Service Bus, Logic Apps, and API Management. Developers can automate delivery using Azure DevOps, GitHub Actions, Bicep, Terraform, Container Registry, and deployment environments. Security and operations remain continuous through Entra ID, Key Vault, Defender for Cloud, Sentinel, Policy, Monitor, Application Insights, and Cost Management. The data and AI layer brings together Microsoft Fabric, Azure Databricks, Azure AI Search, Machine Learning, Microsoft Foundry, and Foundry Agent Service. The real skill is not memorizing every service. It is knowing which services work together to solve the business problem. Which area of the Azure ecosystem are you currently learning? ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐—ฎ๐˜ ๐—”๐—œ ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿญ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ ๐—ฎ ๐—ฑ๐—ฎ๐˜†. ๐—๐—ผ๐—ถ๐—ป ๐—บ๐˜† ๐˜„๐—ฒ๐—ฒ๐—ธ๐—น๐˜† ๐—ป๐—ฒ๐˜„๐˜€๐—น๐—ฒ๐˜๐˜๐—ฒ๐—ฟ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—œ ๐—ฑ๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—น-๐˜„๐—ผ๐—ฟ๐—น๐—ฑ ๐—ท๐—ผ๐˜‚๐—ฟ๐—ป๐—ฒ๐˜† ๐—ผ๐—ณ ๐—”๐—œ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป. ๐Ÿ‘‰ ๐—ฆ๐—ถ๐—ด๐—ป ๐˜‚๐—ฝ ๐—ณ๐—ฟ๐—ฒ๐—ฒ now โ†’ avsl.beehiiv.com/ Follow @AiswaryaVenkit1 for more such insights!!
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BREAKING: Anduril has unveiled an American-made computer in partnership with Qualcomm. The computer, called BlueChip, is designed to operate in critical industries and rugged environments, with availability expected in 2027.
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