标签：#Tech

Apple has been on its back foot, AI-wise, for the past few years. But in a strange way, playing from behind might not be such a bad move. At WWDC on Monday, Apple appears to be getting ready to reintroduce us to the new Siri. Again. As a reminder, we met the new Siri in […]

Day 48 of building GoDavaii, and the toughest problem isn't the sheer volume of allopathic medicines or the complexity of their interactions. It's the invisible logic of 'Desi Ilaaj' - the home remedies and traditional practices deeply ingrained in Indian families for generations. When everyone knows the comfort and efficacy of 'haldi-doodh' (turmeric milk) for a cold, how does an AI health platform authentically verify and integrate that knowledge without replacing professional medical advice? This isn't just a cultural nod; it's a fundamental challenge for any health AI truly built for India. Global competitors like Epocrates or drugs.com, while excellent within their scope, are entirely English-centric and focused on Western allopathic data. They have no framework for the millions of people who search for health guidance in Hindi, Tamil, or Marathi, and whose first instinct for a cough might be a herbal concoction, not an over-the-counter syrup. The Unspoken Truth About India's Health Landscape For a vast majority of Indian families, health decisions often involve a blend of modern medicine and traditional wisdom. From specific herbs to dietary adjustments passed down through generations, these practices are effective for many minor ailments. Yet, in the digital health space, they're largely ignored. Why? Because the data is fragmented, often anecdotal, and doesn't fit neatly into structured pharmacological databases. It's a goldmine of practical health knowledge, but also a minefield for safety if not handled with care. My realization as Pururva Agarwal, 27-year-old founder of GoDavaii, was simple but profound: if we truly want to serve families coming online in their mother tongue, our AI needs to understand and interact with this context. This means going far beyond just translating English medical terms into 22+ Indian languages. It means building a knowledge graph that can intelligently cross-reference traditional remedies with known active compounds, potent

Imagine your smartwatch detects an irregular heart rhythm at 3 AM. Instead of just waking you up with a frantic "beep," an AI agent immediately analyzes your historical health data, searches for the best cardiologist nearby, and prepares a calendar invite for a consultation. This isn't science fiction—it's the power of Healthcare Automation driven by AI Agents . In this tutorial, we are diving deep into LangGraph , the cutting-edge framework for building stateful, multi-agent applications. We’ll explore how to use State Machines to orchestrate a complex medical workflow, moving from an "Abnormal Heart Rate Alert" to a "Specialist Appointment" using the Tavily API for research and Twilio for urgent notifications. By the end of this guide, you’ll understand how to manage non-linear LLM workflows that require reliability and precision. The Architecture: Why LangGraph? Traditional LLM chains are linear. But medical emergencies are not. They require loops, conditional branching (e.g., "Is this an emergency or a routine check-up?"), and state persistence. LangGraph allows us to define a graph where each node is a function and edges define the transition logic. Data Flow Overview The following diagram illustrates how our agent processes a heart rate alert: graph TD A[Start: Heart Rate Alert] --> B{Severity Triage} B -- Emergency --> C[Twilio: Alert Emergency Services] B -- High Risk --> D[Tavily API: Find Best Specialist] B -- Normal/Review --> E[Log to Health Records] D --> F[Google Calendar: Draft Appointment] F --> G[Twilio: SMS Patient Confirmation] C --> H[End] G --> H E --> H Prerequisites 🛠️ To follow along with this advanced tutorial, you'll need: Python 3.10+ LangGraph & LangChain : The orchestration engine. Tavily API Key : For searching local medical specialists. Twilio Account : For SMS/Voice alerting. An OpenAI API Key (GPT-4o is recommended for medical reasoning). Step 1: Defining the Agent State In LangGraph, the State is a shared schema that evolves as it m

The deadline to reauthorize Section 702 of the Foreign Intelligence Surveillance Act is coming up a week from now on June 12th, and legislators seem no closer to reaching a deal. If this sounds like deja vu, it's because we've been here before. Congress reauthorized Section 702 in late April - but only for 45 […]

Applications for Startup Battlefield 200 officially close on June 8, 11:59 p.m. PT. Don't wait any longer. Secure your shot at competing on the Disrupt Stage at TechCrunch Disrupt 2026 this October at San Francisco's Moscone West.

Whether you’re considering starting a Sonos speaker setup, or adding to an existing group, the Sonos Era 100 is worth picking up. The compact, capable smart speaker is currently marked down to $189 ($30 off) at a variety of retailers, including Amazon, Best Buy, and directly from Sonos. If you want an even lower price, […]

We're now deep into developer conference season, and one of the themes so far is the relentless conviction from Big Tech companies that AI is going to change everything about how we do everything. Nvidia's Jensen Huang made that clearer than anyone this week, when he described a completely new way of using our laptops […]

Even if you've done nothing wrong, it's never a good idea to hand your phone to the cops. But international travelers at American airports often have no choice - even if they're US citizens. When Minnesota labor organizer Janette Zahia Corcelius returned home from a three-week trip to Europe in late April, she was detained […]

The Air succeeds as a minimalist, reliable fitness tracker, but Google's AI Health Coach feels unnecessary.

Microsoft’s AI products aren’t selling and Github’s been plagued with troubles. WIRED spoke with VP Scott Hanselman about whether the company is in catch-up mode.

Never underestimate the power that a cheap tablet holds over a kid under six. The Skylight Buddy is a device with one job: to be a cute little guy that helps your kid track routines and chores. It's $139.99, plus an optional subscription. And to my surprise, even though it offers a pretty limited set […]

The superior RX 9070 also launched for $549 just over a year ago.

Back in 2002, Porsche fans sputtered with rage as the Cayenne made its debut at the Paris Motor. More than 20 years later, Porsche now sells more SUVs than anything else in its lineup. Last year, the Macan and Cayenne accounted for 62 percent of all Porsche sales. Now, these SUVs are trolling traditionalists in […]

TL;DR Reconciliation is the part of a payments stack nobody architects for on day one and everyone pays for on day 200. The job: prove that every internal transaction matches the acquirer's settlement file, in the right currency, with the right fees, on the right value date — or surface the diff fast. The mechanics: normalize files → land into an events table → project to a read model → diff against the internal read model → buckets for ops to resolve. The boring details (file formats, fee parsing, FX rounding, value dates) are where 90% of the work lives. If you've ever opened a CSV from an acquirer at the end of the month, sorted by amount, and tried to "just match it in Excel" — yes, this post is for you. What "reconciled" actually means A transaction is reconciled when, for the same logical payment, three views agree: What you sent — your internal record of the charge/payout (your read model). What the acquirer says happened — their settlement file or API report. What the bank actually credited / debited — the bank statement. Disagreements are normal. Persistent disagreements are how you lose money slowly and never know. The shape of a settlement file Across the major acquirers, settlement files look broadly similar — and broadly different in the places that matter: Field Variants you'll see Transaction reference acquirer's transaction_id , sometimes plus a merchant_reference round-tripped from you Gross amount minor units / decimal; transaction currency vs settlement currency Fees inline per-row, or aggregated at the file footer, or in a separate fees file FX inline rate vs separate FX file; sometimes only the converted amount Value date when the bank actually moves money — often T+1/T+2 from event date Adjustments refunds, chargebacks, fee corrections, reserves — usually mixed in Encoding UTF-8 if you're lucky; CP1252 / fixed-width / SWIFT MT940 if you're not Granularity one row per transaction or daily aggregates per merchant or both There's no industry-clean

This week I’ve been at SXSW London. There’s been music, film, and a lot—and I mean a lot—of talk about AI. I also had the opportunity to sit down with Gloria Mark, a psychologist at the University of California, Irvine, who has spent the last 30 years studying how people interact with digital technologies. Early…

This specific undertaking is not fundamentally burdensome in terms of labor; however, this endeavor serves as the crucial support for my unwavering commitment to see it through to its ultimate conclusion. It is precisely the motivation behind my relentless 72-hour shifts and the impetus that prevents me from ceasing my efforts. My affection amidst my grief—my aspiration is to assist others and ensure that the tragedy you experienced is never repeated. Caitlyn Walmsley, RIP. I will love you always.

The USDA this week confirmed the first known infection of the carnivorous fly larva, which feast on the flesh of living mammals, after the United States eradicated the nightmare bugs in the 1960s.

DIYer and TikTok user Annike Tan, who goes by @ubeboobey, can carry her cyberdeck around without anyone noticing because it doesn't look like a computer at all. Tan, who has been featured in The Cut and Wired, went viral earlier this year with a mermaid-themed cyberdeck she made inside an old purse. She has since […]

How I combined spaced repetition, adaptive algorithms, and clean UX to create a multi-purpose learning tool. I’ve always believed that memorisation doesn’t have to feel like a chore. After years of using (and sometimes getting frustrated with) existing tools, I decided to build my own. That’s how MemOrLearn was born in early 2026. MemOrLearn is a web-based adaptive learning platform that brings together flashcards, typing practice, math drills, and Bible memory tools — all powered by intelligent spaced repetition and performance-based adaptation. The Core Idea: Most flashcard apps follow a rigid spaced repetition schedule. I wanted something smarter — a system that actually adapts to the user in real time. If a learner is struggling with a concept, the algorithm increases review frequency and offers slight variations. If they’re crushing it, reviews are intelligently spaced out. This dynamic approach is what makes the experience feel responsive and human. Key Features: Adaptive Flashcards: The heart of the platform. Users can create decks or browse public ones. The system tracks performance per card and automatically adjusts difficulty and frequency. Clean, fast, and minimal interface — exactly how I like my tools as a developer. Typing Tutor: Built to help users improve speed and accuracy through gamified, adaptive drills. It adjusts to your current level so you’re always progressing. Math Drills: Focused practice on math facts with real-time adaptation. The system identifies weak areas quickly and targets them without wasting time on mastered content. Bible Memory Mode: A specialized tool many users love. It applies the same adaptive principles to Scripture memorization, making it effective for individuals, families, and small groups. Teacher / Parent Dashboard: A clean admin view that lets educators assign work, monitor progress, and adjust settings per student. Built with simplicity in mind. Technical Approach (For Fellow Builders): I focused on keeping the back

Google now lets big creators and publishers in the US claim dedicated profiles in Search to highlight things like videos, articles, and their other profiles online. But this feature won't be available to most people or organizations; Google is limiting it to people with at least 100,000 YouTube subscribers, 100,000 followers on Instagram or X, […]