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The silicon race is heating up amid the struggle to keep up with demand.

It's not the $80 physical edition we deserve, and it's also not the one we need right now.

"Contract values for these efforts ballooned from nearly $2.8 billion to $5.9 billion."

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Microsoft just added a cheaper 12-inch Surface Pro and 13-inch Surface Laptop to its lineup. Both models come equipped with 8GB of RAM instead of 16GB, costing $849 for the specced-down Surface Pro and $949 for the Surface Laptop, as spotted earlier by Windows Central. When the 12-inch Surface Pro and 13-inch Surface Laptop launched […]

The Rocco isn’t on Amazon, but its rare sale knocks up to $400 off a fridge that can track your drinks and make any room look cooler. Save through July 5.

Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year.

The Internet of Things is now a phrase you see on product boxes, in boardroom slide decks, and across thesis titles in engineering departments everywhere. But it has a surprisingly precise origin. The term was coined in 1999 by a British technologist named Kevin Ashton, and it was not born in a research lab or an academic paper. It started its life as the title of a corporate sales presentation. A slide deck, not a laboratory In the late 1990s Ashton was a brand manager at Procter & Gamble, the consumer goods giant behind products you would find on any supermarket shelf. He was wrestling with a mundane but expensive problem: store shelves kept running out of a particular shade of lipstick, even though the warehouse had plenty in stock. The supply chain simply had no reliable way to know, in real time, what was where. Ashton's proposed fix was radio-frequency identification, or RFID: tiny tags that could be attached to products and read automatically by sensors, with no human scanning each item by hand. The vision was that physical objects could report their own location and status, feeding that data up into computer systems without anyone typing it in. To sell this idea to executives, he needed a title that would make supply-chain tagging sound as exciting as the technology dominating headlines at the time. So he linked his RFID proposal to the hottest topic of 1999 and called the presentation "Internet of Things." By his own account, years later in RFID Journal, the choice was deliberate. Tying tags and sensors to the red-hot word "internet" was the surest way to get senior people in the room to pay attention. The pitch worked well enough that the phrase stuck, and Ashton went on to help found the Auto-ID Center at MIT, a research group that did much of the early standards work that made networked RFID practical. Why the name was actually a good description It would be easy to dismiss the term as a marketing flourish, but it captured something real. Ashton's point

Shopping Roborock’s models can feel overwhelming. But there’s just one I recommend snagging during Prime Day.

Indie movie fans are upset about Google DeepMind’s $75 million investment in the studio, which comes as AI companies are deepening their influence in Hollywood.

According to a new site, 24% of the most popular websites in the world don't offer support for passkeys, which are considered the most secure way to log in to apps and services.

"Operation Endgame" simultaneously disrupts two widely used crime tools.

Your product might rank on page one of Google and still be invisible to AI. When someone asks ChatGPT "what's the best project management tool for small teams," does your product show up? For most SaaS companies under 50 employees, the answer is no. At Inithouse, we built Be Recommended to answer that question with a number: a single AI visibility score from 0 to 100 that tells you exactly where you stand across four major AI engines. Here is how the scoring works under the hood. What the score measures The Be Recommended score captures how often, how prominently, and how positively AI engines mention your product when users ask category-relevant questions. A score of 0 means no AI engine mentions you at all. A score of 100 means every tested prompt across all four engines names your product as a top recommendation. The four engines we test against: ChatGPT (OpenAI), Perplexity , Claude (Anthropic), and Gemini (Google). Step 1: Prompt generation We start by building a bank of 50+ real prompts that a potential customer would actually type into an AI assistant. These are not keyword-stuffed test queries. They mirror how real people ask for recommendations. For a CRM product, that looks like: "What CRM should a 10-person startup use?" "Best alternatives to Salesforce for small businesses" "Compare CRM tools with good API integration" "Which CRM has the best free tier in 2026?" We group prompts into three categories: direct (user names the product category), comparative (user asks for alternatives or comparisons), and situational (user describes a problem without naming a category). Each category tests a different signal: brand recognition, competitive positioning, and contextual relevance. Step 2: Multi-engine querying Each prompt gets sent to all four AI engines through their APIs. We capture the full response text, not just a yes/no for whether your product appeared. The raw responses go into a structured analysis pipeline. We run queries from neutral accounts with n

A quiet experiment in Bluetooth, offline communication, and why we gave up too much when we handed our conversations to the cloud. The last time I was truly unreachable, I was in a place with no cell signal and no Wi-Fi. And I realized something strange: I had no way to send a message to the person sitting three feet away from me — because every app on my phone needed the internet to do it. That felt wrong. We've built the most sophisticated communication technology in human history, and somehow it all routes through a handful of servers in Northern Virginia before reaching someone in the same room. So I built Bluetoosh. The Premise: What If the Network Was Just… You and Me? Bluetoosh is a peer-to-peer messenger that runs entirely over Bluetooth. No internet. No servers. No accounts. No cloud storage. Just two devices, talking to each other the way devices were always capable of doing — directly. You open the app. You see who's nearby. You start a conversation. That's it. No phone number required. No email verification. No terms of service asking you to agree that your metadata might be used for advertising. The only network involved is the six feet of air between you and the other person. Why Bluetooth? Bluetooth is one of the most underrated communication protocols we carry around every day. Your phone already has it. Your laptop has it. Most people use it for headphones and nothing else. But Bluetooth is capable of much more. It can discover nearby devices, establish encrypted connections, and transfer data — all without touching the internet. The range is roughly 10–30 meters in open space. That covers a room, a floor, a campsite. Bluetoosh uses both BLE (Bluetooth Low Energy) and Classic Bluetooth, plus Google Nearby Connections for mesh-style discovery. In practice, this means you can find people around you, chat, share files, and even make voice calls — all completely offline. What It Actually Does Here's what surprised me most while building this: offline co

Recently, we encountered a case on a RHEL 9 machine where an RPM query did not show any information about installed package even though the package files were present in the filesystem. Although RPM reported that the package was not installed, I was still able to run tcpdumpcommand and use it without any issues. The binary was present there in the filesystem and I was able to run it successfully. Fixing RPM Database Desynchronization on RHEL - bidhankhatri.com.np Recently, we encountered a case on a RHEL 9 machine where an RPM query did not show any information about installed package even though the package files were present in the filesystem. bidhankhatri.com.np

A critique published in Nature Wednesday calls the basic technology behind Microsoft's "breakthrough" quantum computing chip the Majorana 1 into question. Microsoft unveiled the chip in February 2025 and said it featured a brand-new technology known as a topological qubit. Topological qubits, they said, would be the "building blocks" for their future quantum computer. Microsoft […]

Lawsuit alleged Disney inflated market prices by making carriers include ESPN.

Save big during Prime Day on the best fake Christmas trees you can buy if you’re willing to stash them for six months.

The tokenmaxxing era was brief. We now appear to be entering the era of token rationing.

The small bit of air in the bottle sees oxygen and other chemicals move in and out.