TensorFlow Estimators Are Deprecated—Here’s How (and Why) to Migrate

Content Overview Setup Advantages Estimators Capabilities Using pre-made Estimators Write an input functions Define the feature columns. Instantiate the relevant pre-made Estimator. Call a training, evaluation, or inference method. Benefits of pre-made Estimators Custom Estimators Create an Estimator from a Keras model Saving object-based checkpoints with Estimator SavedModels from Estimators Using tf.distribute.Strategy with Estimator (Limited … Read more

The Space Blockchain Rush: Separating Signal from Noise in 2025

A critical investigation into the real players, actual funding, and genuine applications behind the hype Three months ago, I started tracking a curious phenomenon: blockchain startups racing to claim space as their next frontier. What I discovered after digging through SEC filings, satellite launch manifests, and government grant databases reveals a sector teetering between legitimate … Read more

The TechBeat: Studies Show AI Agents and Browsers Are a Hacker’s Perfect Playground (9/8/2025)

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## OpenxAI Launches on Base to Let Anyone Start an AI Business in Minutes, Without Middleman By @pressreleases [ 4 Min read … Read more

AI As the Ultimate Propaganda Machine

There’s a war happening. Not one with tanks or politicians. This is a different kind of warfare; psychological, digital, algorithmic. A war over the last resource that truly matters in the modern age: Attention. And the deadliest weapon in that war? Not nuclear. Not economic. It’s AI. While everyone’s distracted by flashy tools and chatbots … Read more

Nobody Is Holding Predictive Systems Accountable

Predictive systems are already making binding decisions in finance, healthcare, and decentralized organizations. The striking fact is that there is no one to hold accountable. We tend to believe that every important decision has an author. A manager signs a form, a doctor confirms a diagnosis, a regulator issues a mandate. Authority has historically been … Read more

Australia’s Digital Transformation Surges $18.5 Billion

Australia’s digital transformation market has reached a critical inflection point, with the sector valued at $18.5 billion in 2024 and projected to reach $84.7 billion by 2033, exhibiting an 18.4% compound annual growth rate, according to IMARC Group analysis. The dramatic expansion underscores Australia’s commitment to becoming a leading digital economy and positions the nation … Read more

David Klasing on IRS John Doe Summons: Ensuring Crypto Tax Compliance—What Can Be Done?

It is often said that the most accurate records in government are tax records. That’s because the IRS has a powerful tool to ensure compliance: the John Doe Summons. Used on cryptocurrency exchanges and other financial institutions, this summons helps the IRS find mismatches between the crypto activities of account holders and the taxes they’ve … Read more

5 Open-Source Private Messengers to Try for Free —and Support Via Kivach

These days, it feels like everyone’s reading over your shoulder: from tech giants to hackers and even governments. The apps we trust for private chats often track us, show ads, or share data without asking. That’s why more and more people are turning to open-source, privacy-first messengers built by communities, not corporations. In fact, about … Read more

educe Truth Bias and Speed Up Unfolding with Moment‑Conditioned Diffusion

Table of Links Abstract and 1. Introduction Unfolding 2.1 Posing the Unfolding Problem 2.2 Our Unfolding Approach Denoising Diffusion Probabilistic Models 3.1 Conditional DDPM Unfolding with cDDPMs Results 5.1 Toy models 5.2 Physics Results Discussion, Acknowledgments, and References Appendices A. Conditional DDPM Loss Derivation B. Physics Simulations C. Detector Simulation and Jet Matching D. Toy … Read more

A Conditional Diffusion Approach to Multidimensional Unfolding Across Physics Processes

:::info Authors: (1) Camila Pazos, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts; (2) Shuchin Aeron, Department of Electrical and Computer Engineering, Tufts University, Medford, Massachusetts and The NSF AI Institute for Artificial Intelligence and Fundamental Interactions; (3) Pierre-Hugues Beauchemin, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts and The NSF AI Institute … Read more

CMOs Need To Think Like Data Architects To Win With AI

As CMOs contend with flatlining budgets and rising performance expectations, a new operational challenge is also emerging: Integrating AI not just for productivity, but for strategic resilience. Gartner’s latest CMO Spend Survey reveals that marketing leaders are making investments towards AI to maximize marketing performance and enhance efficiency—ultimately, to do more with less. However, driving … Read more

Everything You Need to Know About All Comparable Types

On February 1 we released our latest Go version, 1.20, which included a few language changes. Here we’ll discuss one of those changes: the predeclared comparable type constraint is now satisfied by all comparable types. Surprisingly, before Go 1.20, some comparable types did not satisfy comparable! If you’re confused, you’ve come to the right place. … Read more

What It’s Like to Run a Public Records Audit With a Team of Students

About the LevelUp series: At The Markup, we’re committed to doing everything we can to protect our readers from digital harm, write about the processes we develop, and share our work. We’re constantly working on improving digital security, respecting reader privacy, creating ethical and responsible user experiences, and making sure our site and tools are … Read more

Revolutionizing Market Simulation: An Unbiased Approach Using Neural Density Estimators

Table of Links Abstract and 1. Introduction 2. Relevant Work 3. Methods 3.1 Models 3.2 Summarising Features 3.3 Calibration of Market Model Parameters 4. Experiments 4.1 Zero Intelligence Trader 4.2 Extended Chiarella 4.3 Historical Data 5. Discussion & Future Work 6. Significance, Acknowledgments, and References 6 SIGNIFICANCE In this work, we demonstrate that neural density … Read more

The Economic Shift from Memory to Prediction: A Guide to Value Creation in the Creator Economy

Why Memorising is Now Pointless. Recent data from McKinsey shows 375 million workers globally will need to change occupations due to AI automation. The professionals adapting earliest are already capturing outsized returns. The skills that created value in the industrial economy are being systematically replaced by AI systems. For those positioned correctly, this represents the … Read more

The HackerNoon Newsletter: Releasing New Versions Should Be Boring. Really Boring. (9/6/2025)

How are you, hacker? 🪐 What’s happening in tech today, September 6, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The First True Supermarket in 1916, Swaziland Gains Independence in 1968, The First Tank in 1915, GeoEye-1 Launch in 2008, and we present you with these top quality … Read more

The Future of Market Simulation: Why Unbiased, Data-Driven Calibration is Key

Table of Links Abstract and 1. Introduction 2. Relevant Work 3. Methods 3.1 Models 3.2 Summarising Features 3.3 Calibration of Market Model Parameters 4. Experiments 4.1 Zero Intelligence Trader 4.2 Extended Chiarella 4.3 Historical Data 5. Discussion & Future Work 6. Significance, Acknowledgments, and References 5 DISCUSSION & FUTURE WORK We have shown that the … Read more