3. Data Fixing Techniques Quickly resolve common data issues... such as formatting errors or inconsistencies, streamlining your data management process.show more

Joined the ongoing AIOZ AI Pneumonia Chest X-Ray Classification... Challenge? Smart Tip: Focus on data quality before tuning your model. → Audit the X-rays first for variations in brightness, contrast, and resolution. → Apply preprocessing techniques such as normalization, resizing, and histogram equalization. → Add controlled data augmentation, such as rotations, flips, and subtle distortions, to improve robustness without losing clinical signals. Build a stronger pipeline from the data up! Join the challenge and explore medical AI in practice.show more

Airbus Vertical Speed Indicators (VSI) primarily use a blended... "baro-inertial" system to display precise vertical speed, combining responsive inertial data from the Inertial Reference System (IRS) with long-term stable barometric pressure data. The inertial signal is used for dynamic maneuvers and air data for stability over time. This hybrid approach provides rapid responsiveness to pitch changes while maintaining accuracy, reducing errors inherent in using either system alone. Local airflow disruptions (such as turbulence or unsteady wind) can momentarily alter the static pressure, causing the VSI to show unsteadiness or oscillations even when the aircraft is on the ground.show more

Update! We outline AIVE, an AI method for volume... EM data. We show the benefits of AIVE for reconstructing your FIB-SEM data, reveal some fascinating cell biology, and define intrusions as a new form of mitochondrial contact. Muscle mito nanotunnels 1/3🧵show more

Knowing whether a pool is actually worth LP’ing usually... means digging through a lot of data. With the new Dynamic Terminal, all the key LP insights are now at your fingertips. See metrics like: >Active LPs with live positions >New LPs entering the pool >Positions currently in range >Net deposits Plus all the core trading data such as 24h fees, TVL, dynamic fees, and more.show more

The largest Decentralized Knowledge Graph (DKG) provides a powerful... substrate to tackle #AI hallucinations, bias & model collapse. The NEW ChatDKG.ai allows you to supercharge your AI solution with data always on $trac(k)🔎 It's as easy as 1-2-3! 👉show more

Discovering new dapps just got easier with Onchain's latest... revamp 💹 Browse trending dapps such as VVS-Finance and Moonlander 🌕 on the home page with real-time updates 🔎 Filter by network or category with a single tap 📱 Search smarter with automatic suggestions as you type Data powered by DefiLlama.com Download Now 👇show more

We're giving away 5 more Oraimo Earbuds today during... our live raffle draw at 3 PM. Recharge your Glo airtime or data on PalmPay with at least ₦500 to join the draw and stand a chance to win. Click here to get started: #PalmPay #PalmPayGloBonanzashow more

Just launched on Product Hunt: Gamma API Think of... it as a visual storytelling on autopilot. Use Gamma inside any workflows — plug into Zapier, n8n, or your own SaaS to turn raw text, data, or images into polished decks + reports. APIs are how ideas scale and this is just the beginning.show more

HOLEE SHIZZLES‼️ 🚨 The Fulton County Georgia FBI Raid... Affidavit CONFIRMS Election Records in Fulton County's 2020 Vote Count was MANIPULATED 1. Only 16 tabulators out of an expected much larger number were used to generate closing data for about 315,000 ballots across 138 provided poll tapes. This extreme concentration improperly funneled through a small set of machines, breaking chain-of-custody rules and making it easier to alter election results 2. Review of machine logs indicated that memory cards were likely removed from their original tabulators and inserted into different ones to produce or recreate closing poll tapes. This indictated tampering or fabrication of records to cover up discrepancies, as it allows data to be manipulated OUTSIDE the standard process. 3. Many closing poll tapes—essential documents that verify end-of-day vote totals from each polling site—were entirely MISSING from the records provided. Without these, there's no way to confirm that votes weren't added, removed, or changed post-election. FRAUD. 4. It was discovered that the Tabulator's data appeared to cover ballots from several different polling sites, which shouldn't happen under normal procedures. This suggests intentional mixing of data streams, which leads to DUPLICATE votes, misplaced ballots, or hidden errors across precincts. 5. Tabulators showed mismatched or anomalous timestamps in their logs, such as dates and times that didn't align with actual election events. This could indicate backdating, editing, or unauthorized access AFTER polls closed, further hinting at possible manipulation to make records appear consistent. 6. Auditors assisting in the Risk Limiting Audit reported counting purported absentee ballots that had never been creased or folded, as would be required for the ballot to be mailed to the voter and for the ballot to be returned in the sealed envelope requiring the voter’s signature for authentication. Affidavitshow more

I just built a Claude Cowork skill that turns... your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)show more

An interesting issue with Tesla Robotaxi where it took... us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?show more

What if crypto research was as easy as chatting... with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠show more

𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗶𝗻𝗶𝗼𝗻: "𝗝𝘂𝘀𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝗺𝗼𝗿𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮." After working... with many 𝗿𝗼𝗯𝗼𝘁 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 teams who've fallen into the simulation trap, here's what I've learned: Simulation teaches your robot to be really, really good at simulation. Unlike blind locomotion policies that can get away with sim-to-real transfer because they rely mainly on proprioception and contact forces, 𝘃𝗶𝘀𝗶𝗼𝗻-𝗴𝘂𝗶𝗱𝗲𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹 𝗱𝗼𝗺𝗮𝗶𝗻 𝗴𝗮𝗽. The subtle differences accumulate: - Simulated friction vs real surface textures - Perfect lighting vs shadows, reflections, glare - Ideal object geometries vs manufacturing tolerances - Instantaneous sensor readings vs real-world noise and latency - Clean backgrounds vs cluttered, dynamic environments 𝗧𝗵𝗲 𝗰𝗹𝗮𝘀𝘀𝗶𝗰 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻: Week 1: "Our model works perfectly in sim!" Week 2: "Let's collect some real data to fine-tune." Week 3: "The real data completely contradicts what the sim taught..." Week 4: "Okay, let's collect way more real data." Month 2: "We basically need to retrain from scratch." 𝗧𝗵𝗲 𝗽𝗮𝗶𝗻𝗳𝘂𝗹 𝘁𝗿𝘂𝘁𝗵: There's no shortcut to real-world data collection for vision-based manipulation. Simulation is amazing for debugging, prototyping, safety testing, and of course to supplement your real data. But it's not a substitute for understanding how your robot actually behaves in the actual environment. 𝗪𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀: Use simulation strategically - for exploring edge cases, testing safety boundaries, and rapid iteration. But build your production models on real data from real environments. The teams that succeed treat simulation as a powerful tool, not a magic solution. This is why Neuracore focuses on making real-world data collection so much easier and faster. Because the physics of your actual environment can't be simulated away. 𝗪𝗼𝗿𝗹𝗱 𝗺𝗼𝗱𝗲𝗹𝘀, 𝘆𝗼𝘂 𝘀𝗮𝘆? 𝗪𝗲𝗹𝗹, 𝗽𝗲𝗿𝗵𝗮𝗽𝘀 𝗺𝗼𝗿𝗲 𝗼𝗻 𝘁𝗵𝗮𝘁 𝗶𝗻 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗽𝗼𝘀𝘁! 𝗪𝗵𝗮𝘁'𝘀 𝗯𝗲𝗲𝗻 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝘀𝗶𝗺-𝘁𝗼-𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿? 𝗛𝗮𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸𝗲𝗱 𝗮𝘀 𝘄𝗲𝗹𝗹 𝗮𝘀 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱?show more

❔ A Question for Our Community 👇 What’s harder:... building a strategy or sticking to it? 📊 Creating a strategy is only part of the process. The harder part often comes later, when the market changes, results slow down, or confidence starts to fade. Many strategies fail not because the logic is bad, but because they get changed too early or abandoned before they have time to play out. 💡 Test your strategies on historical data and make smarter decisions 👉 💬 Drop your thoughts below!show more

Will you allow #Worldcoin to scan your eyes in... order to receive their Universal Basic Income altcoin? The theory is artificial intelligence will take care of everyone. #Worldcoin is in the process of onboarding hundreds of thousands of people. In Barcelona you get a coupon for free fries, or in others a $10 rebate on in store purchases. You give up your biometrics data. You will accept your UBI in $WLD coin. NO THANKS. 🔊show more

When robots take the night shift shopping spree! 🛍️... Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts?show more

Its not every day you wake up to find... that the Pope has made your lifes work the central focus of his papacy: “Disarming AI means freeing it from the mentality of “armed” competition [..] This entails a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance." - POPE LEO XIV, May 2026 Here, “disarmed” means “neutralised” in the sense that this should not be a differentiator The Innovation Game (TIG) was created to keep data and algorithms open, in order to prevent monopolistic control It's not just an aspiration, it's an economic mechanism that makes open data and open algorithms the rational economic choice • All algorithms are published openly by TIG • If you are willing to make the data you process with an algorithm open, you can use it free-of-charge • Alternatively, if you would like to keep this data private, there is a fee to pay for using the algorithm • All fees are used to fund more open innovation Its an elegant, global, self-reinforcing engine The logical end point of monopoly is that innovation stops We cannot allow that to happen Pope Leo XIV I would be grateful for your thoughts on The Innovation Gameshow more