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Longtime Apple executive Phil Schiller is stepping down from his role as the head of the App Store and Apple events, according to a report from Bloomberg. Following the change, Schiller will keep his Apple Fellow title and continue "working on unspecified initiatives," Bloomberg reports. Schiller initially joined Apple in 1987 and became the company's […]
YouTuber Mark "Markiplier" Fischbach has invested enough in GoPro to become its single largest shareholder, with an 8.5 percent stake in the company, Bloomberg reports. Speaking to Bloomberg, Fischbach said he thought GoPro "seems undervalued" and sees his investment as "part of a larger mission to make filmmaking more accessible," following the release of his […]
Steve Jobs' successor carried the torch of the iPhone and built Apple into a global powerhouse with few rivals. Since becoming CEO in 2011, Tim Cook has led the company to become one of the most dominant forces in the daily lives of billions of people. Today is his last day as CEO. We'll have […]
The company says the ex-congressman didn't fully cooperate with its investigation into alleged insider trading.
Debian voted to allow developers to use AI tools in their contributions to the Linux distribution's "development, maintenance, [and] documentation." The new policy on AI acknowledges that "responsible" use of AI can improve developers' productivity, and goes on to say, "generative AI is neither exempt from nor subject to special rules beyond the standards already […]
Google rolled out the Lake America change on Saturday, while the official US government maps are still waiting.
ChatGPT, Reddit and Roblox to face the EU's strictest platform rules.
Cody Wilson, the creator of the first 3D-printed gun, announced a tool last week aimed at skirting a New York law that prevents 3D printers from making firearms - and taunting governor Kathy Hochul in the process. But Hochul isn't having it. In this week's episode of Decoder, Hochul responded to Wilson's "Hochulization" tool, warning […]
The Battery-Free Smart Card Revolution: A Hands-On Review of NFC Energy-Harvesting MCU PCBs In professional networking, first impressions are everything. But in a landscape crowded with QR codes and cheap plastic tap-to-share cards, how does a high-tier developer, cybersecurity expert, or tech founder stand out? Enter the NFC Energy-Harvesting MCU PCB Business Card . It’s not just a card; it's a fully functional, battery-free embedded system packed inside a 1.6mm-thick piece of FR-4 fiberglass. In this review, we’ll dive deep into the tech behind passive RF power harvesting, explore the hardware stack making this possible, and evaluate whether building (or selling) these high-tech novelties is worth your time. What is an NFC Energy-Harvesting MCU PCB? At its core, this device is a printed circuit board (PCB) styled to the dimensions of a standard business card. However, unlike passive NFC tags that simply store a URL, this card integrates an onboard Microcontroller Unit (MCU)—such as the ultra-cheap WCH CH552 or Microchip ATTiny85 —and an array of LEDs or an e-paper display. The real engineering marvel? It has no battery. +-------------------------------------------------------------+ | [ NFC Coil Antenna ] -> (Harvests 13.56 MHz RF Field) | | | | | v | | [ Schottky Rectifier Bridge ] | | | | | v | | [ Voltage Regulator ] | | | | | v | | [ Ultra-Low Power MCU ] | | / \ | | v v | | [ Status LEDs ] [ Dynamic NFC payload ] | +-------------------------------------------------------------+ When tapped against an NFC-enabled smartphone, the phone's transmitter emits a magnetic field at 13.56 MHz . The trace antenna etched directly into the outer edges of the PCB acts as an inductor, harvesting this RF energy and converting it into AC electricity. This current is rectified to DC, regulated to a stable 3.3V, and powers up the MCU to execute its onboard program instantly. The Tech Stack: Under the Hood To truly appreciate these cards, we have to look at the components that m
Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it.
Chess.com has done one thing, and one thing very well, for almost 20 years, but now it's going beyond its domain name. The biggest name in online chess quietly launched its first companion site in beta back in May: Gambit, a free online poker website where players can learn the game without risking any real […]
Hi, friends! Welcome to Installer No. 142, your guide to the best and Verge-iest stuff in the world. (If you're new here, welcome, how is it almost September already, and also you can read all the old editions at the Installer homepage.) This week, I've been remembering Dolly Parton, Tim Curry, and Peter Cullen, absorbing […]
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on falling robots and the US-China AI race, follow Robert Hart. The Stepback arrives in our subscribers' inboxes on Sunday at 8AM ET. Opt in for The Stepback here. How it started I've admitted my fondness for […]
I used to be an avid hiker and would try to go backpacking a few times a year. I always dreamed of thru-hiking the Appalachian Trail, but life kind of got in the way. (Turns out jobs, wives, and children aren't thrilled with the idea of you disappearing for three months.) But I've been longing […]
A technology problem rarely stays a technology problem for very long. A platform may need to scale. A product may need to move faster. An organisation may want to introduce AI, modernise an ageing estate, improve customer experience or launch something entirely new. The first instinct is usually to look at the technology itself. Which architecture should change? Which platform should we buy? Which team should build it? Which tools should we introduce? Those questions matter. But they are often not the questions that determine the outcome. At Cralgo, one pattern keeps appearing across technology work: the harder part is frequently the system around the technology. The problem behind the problem Consider a programme that appears to have an execution issue. Delivery is slow. Priorities keep changing. Teams disagree. Decisions are repeatedly reopened. The roadmap keeps moving. It is easy to conclude that the engineering team needs to become faster. But look closer and the constraint may be somewhere else: ownership is unclear; priorities are not genuinely ordered; product and technology are working from different assumptions; architecture decisions are being made without business context; teams are executing tasks without understanding the judgement behind them; governance exists, but only as reporting; critical decisions remain dependent on a small number of people. None of these are purely technical problems. They are questions of judgement, ownership, capability, sequencing and governance. Technology simply makes them visible. Better technology does not automatically create better execution Organisations understandably invest heavily in platforms, cloud, data, automation and AI. But technology increases capability only when the organisation around it can use that capability well. A new platform cannot decide what should be prioritised. A new operating model diagram cannot create ownership. A dashboard cannot replace judgement. AI cannot resolve ambiguity that an orga
Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.
BYOK is a no-frills, single-purpose gadget that 90 percent of people will find absolutely frivolous. But for those who spend a significant chunk of their lives putting words to virtual paper, there is an obvious allure. Personally, I think it's at its best when you just stick to the bare minimum, focusing on pure text […]
No, you can't get an antenna with a 6,000 mile range.
A inteligência artificial no setor jurídico ultrapassou a fase dos chatbots genéricos de pergunta e resposta. Quando lidamos com o Direito, o custo de uma "alucinação" de IA não é apenas um incômodo — pode significar a perda de um prazo fatal, uma tese fundamentada em jurisprudência inexistente ou a violação de sigilo. Para resolver esse problema, a engenharia de software aplicada a LegalTechs está migrando para os Agentic AI Workflows (Workflows de IA Agêntica). Em vez de depender de um único prompt gigantesco para resolver um problema complexo, orquestramos múltiplos agentes especializados. Neste artigo, vamos detalhar como arquitetar uma esteira de triagem, busca vetorial e sumarização de processos, utilizando ferramentas maduras e garantindo que o advogado permaneça como o orquestrador final no Quality Gate . 1. Dividir para Conquistar: A Arquitetura Multi-Agente A premissa da orquestração de agentes é a especialização. Cada agente no sistema possui um escopo restrito, ferramentas específicas ( tool use ) e um objetivo claro. Em um cenário de entrada de um novo processo longo (ex: um PDF de 500 páginas), o workflow se divide em três estágios: Agente 1: Classificação de Intenção e Roteamento O primeiro agente atua como o recepcionista. Ele não lê o documento para extrair teses; ele apenas analisa as primeiras páginas para responder: O que é isso? É uma Inicial Trabalhista? Uma intimação de prazo? Uma contestação? A partir dessa classificação, o workflow roteia o documento para a fila correta de processamento. Agente 2: RAG (Retrieval-Augmented Generation) e Busca Vetorial O segundo agente é o pesquisador. Ele quebra o documento em fragmentos ( chunks ) e cruza as alegações da parte contrária com o acervo interno do escritório. No ecossistema Elixir, por exemplo, podemos utilizar o PostgreSQL com pgvector e Ecto para armazenar os embeddings de casos passados e jurisprudências vencedoras do próprio escritório. O agente busca semelhanças e recupera o contexto estrit
If you are a woman in tech who is stuck in "tutorial hell," constantly taking courses but never actually deploying real software, this is for you. I am Mary Macharia, a Software Engineer specializing in Backend Development, AI/ML, and QA. I founded SHEinnov8 because I noticed a massive gap in our community: plenty of brilliant women have the drive to build something real, but they lack the space, the collaborative structure, or the network to actually push it across the finish line. We are changing that. What is SHEinnov8? SHEinnov8 is a decentralized digital guild built specifically for female developers, product designers, and tech creators. We operate on a simple framework: We learn by doing, we build together, and we do not stop until we ship a finished product. What We Are Currently Hacking On Right now, our guild is building an intensive AI Multilingual Project . We are engineering scalable backend infrastructures, orchestrating multi-language AI pipelines, and building deep automated QA suites to break the code and make it smarter. Why You Should Join the Guild Real Production Experience: Skip the basic todo-list apps. Work on raw, complex, collaborative codebases that you can proudly put on your resume. Founder Ecosystem: Meet fellow technical founders, bounce ideas off each other, and turn raw concepts into real tools. End-to-End Ownership: Learn what it actually takes to push code through CI/CD pipelines, configure metadata, handle security/QA audits, and go live. Let's Build Something Together! We are actively looking for software engineers, QA professionals, AI/ML enthusiasts, and designers who are ready to build, learn, and ship. Drop a comment below with your core tech stack, what you're passionate about building, or simply ask a question. Let's connect and get you plugged into the guild! Or check out our workspace directly at [sheinnov8.vercel.app]