Author: Admin

Just over two years ago, I launched the Now Go Build CTO Fellowship with nine technology leaders working in disaster management and climate resilience. Since then, the program has grown to 24 Fellows from 18 countries across four continents, tackling problems in healthcare, education, and food security.Today, we’re releasing the second season of our documentary series. Across five episodes, you’ll hear from Brendan Michaelsen, Ezekiel Brooks, Maryam Bello, Abheejit Khandagale, Adnan Ahmed Qureshi, Miriam Chickering, Alexandra Kroenert, Gokul Kumar, Jassen Stanchev, Rosius Ndimofor, Oluwafunmilayo Ajakaiye, Djime Sacko, Rajasekhar Kaliki, and Jay Patel. They’re building safe digital spaces for survivors of…

Patagonia draws people in for obvious reasons. The mountains are dramatic, the glaciers seem to stretch forever, and some of the world’s best multi-day hikes happen here. What often catches first-time visitors off guard is how carefully everything is managed. At the main park entrances, rangers spend as much time explaining conservation rules as they do handing over maps. Information boards describe local wildlife, recent restoration work, and why certain trails or campsites occasionally close. After a few days here, it becomes clear that protecting the landscape isn’t treated as a separate project. It’s simply embedded into the fabric of…

Welcome back! In Part 1 we set the scene: a secure handshake rests on two pillars (key exchange and authentication), and quantum computers threaten both. Now we zoom in on the first and most urgent one: key exchange. Why urgent? Two words that should genuinely keep you up at night: harvest now, decrypt later. Let’s unpack that, then introduce the two algorithms that will spend the next few posts going head-to-head. No commands yet; for now, let’s build the intuition. Diffie-Hellman: the quiet hero Diffie-Hellman (DH) is the unsung hero behind nearly every secure channel on the internet. The idea is genuinely elegant: two parties each…

Back in March, we introduced Android Bench—our LLM leaderboard for real-world Android development tasks. Our goal was to provide transparency around model capabilities in Android development and to encourage model improvements, to give you more helpful AI options for your everyday workflow. Since then, we have enhanced the benchmark based on your feedback, including evaluating open-weight models and adding cost and efficiency dimensions to the leaderboard. But AI capabilities are ever-evolving, and measurement needs to follow suit. As part of our July release, we have adopted the Harbor framework, which includes an updated version of the benchmarking agent used to…

When programming in Javascript there are times when you might want to know if there were any parameters passed through the URL. In case you aren’t familiar with URL parameters, they are the arguments set after the base URL and the ‘?’. For example let’s look at the below example:https://www.josephamaurer.com/Projects/DevAPI/RecentDevPosts.html?PerPage=100?PerPage=100 is the first parameter that is passed with this URL. It’s up to your javascript logic to grab this parameter’s value and use it appropriately. So can there be multiple parameters? You betcha! Additional parameters are added with the following syntax:https://www.josephamaurer.com/Projects/DevAPI/RecentDevPosts.html?PerPage=100&Page=2‘&Page=2’ is the second parameter that is with this URL. At…

Geyer, R. in Plastic Waste and Recycling (ed. Letcher, T. M.) 13–32 (Academic, 2020).Xu, Z. et al. Chemical upcycling of polyethylene, polypropylene, and mixtures to high-value surfactants. Science 381, 666–671 (2023).Article  CAS  PubMed  Google Scholar  Plastics – The Fast Facts 2024 (Plastics Europe, 2024); https://plasticseurope.org/knowledge-hub/plastics-the-fast-facts-2024Celik, G. et al. Upcycling single-use polyethylene into high-quality liquid products. ACS Cent. Sci. 5, 1795–1803 (2019).Article  CAS  PubMed  PubMed Central  Google Scholar  Vogt, E. T. C. & Weckhuysen, B. M. The refinery of the future. Nature 629, 295–306 (2024).Article  CAS  PubMed  Google Scholar  World Energy & Climate Statistics – Yearbook 2025 (Enerdata, 2025); https://yearbook.enerdata.net.htmlDu, J.…

Guest post by Michael Kilarney Co-Founder Genghis AI The 2023 idea of “tax AI” is already archaic. A faster search box is not the future of tax advisory. Finding legislation faster is useful. Finding guidance faster is useful. Finding case law faster is useful. But it is not the prize. The prize is completing complex tax technical work from end to end – with sources, structure, reasoning and professional review built into the process. That is what Genghis AI is building. Genghis AI is an Irish-built artificial intelligence platform for tax professionals, accountants and advisory firms. It is not trying…

Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, how AI is playing a part. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! I am back from vacation. What did I miss? Turns out, quite a lot — including the end of the Uber-Waymo partnership in Phoenix. Uber and Waymo still have robotaxi service partnerships in Atlanta and Austin. The question is not if, but when will these agreements end? But that isn’t the most intriguing question, in my opinion. I am far more…

In this article, you will learn how to choose the right memory strategy for an AI agent by working through a simple decision tree, one category of information at a time. Topics we will cover include: The four types of agent memory — working, semantic, episodic, and procedural — and what each one assumes about the information it holds. A five-question decision tree that classifies what a given category of information actually needs, and how those answers combine into a full memory architecture. The common pitfalls that show up once agent memory is implemented, and how to fix them. Let’s…

Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so they quietly ignore the very class you care about. For years, SMOTE was the reflex fix that everyone reached for first. But SMOTE often fails on the messy, high-dimensional data that production systems actually see. This guide goes beyond SMOTE. You will learn cost-sensitive learning, modern loss functions, balanced ensembles, anomaly detection, and the metrics that expose what really works. What Is Class Imbalance? Class imbalance describes a skewed distribution between the target classes you want to predict. The smaller…