Author: Carter

road in Lao PDR. The school is 200 meters away. Traffic roars, smoke from burning garbage drifts across the path, and children walk straight through it. What are they breathing today? Without local data, no one really knows.  Across East Asia and the Pacific, 325 million children [1] breathe toxic air every day, sometimes at levels 10 times above safe limits. The damage is often silent: affected lungs, asthma, but it can lead to missed school days in acute cases. The futures are at stake. In the long run, the health systems are strained, and economies have to bear the costs.In many…

The ShinyHunters extortion gang claims it is behind a wave of ongoing voice phishing attacks targeting single sign-on (SSO) accounts at Okta, Microsoft, and Google, enabling threat actors to breach corporate SaaS platforms and steal company data for extortion. In these attacks, threat actors impersonate IT support and call employees, tricking them into entering their credentials and multi-factor authentication (MFA) codes on phishing sites that impersonate company login portals. Once compromised, the attackers gain access to the victim’s SSO account, which can provide access to other connected enterprise applications and services. SSO services from Okta, Microsoft Entra, and Google enable…

Posted on January 23, 2026 by Asif Awan, Chief Product Officer and co-founder, Stackgen The promise of DevOps and Platform Engineering is to balance developer velocity with enterprise governance. In 2026, AI Agents move from being simple assistance tools to the core mechanisms that automate this balance. Recent publications, such as the CNCF 2025 Technology Radar report, highlight growing experimentation with agentic AI standards (for example, MCP). As we begin 2026, it’s time to forecast how the enterprise shift to autonomy will be defined by four distinct, AI-driven control mechanisms: golden paths, guardrails, safety nets, and manual review workflows. Governing…

Image by Author   # Introduction  Python is the default language of data science for good reasons. It has a mature ecosystem, a low barrier to entry, and libraries that let you move from idea to result very quickly. NumPy, pandas, scikit-learn, PyTorch, and Jupyter Notebook form a workflow that is hard to beat for exploration, modeling, and communication. For most data scientists, Python is not just a tool; it is the environment where thinking happens. But Python also has its own limits. As datasets grow, pipelines become more complex, and performance expectations rise, teams start to notice friction. Some operations…

Breaking news from famed machine learning researcher Ilya Sutskever:Below is another summary of a just-released interview of his that is making waves, a bit more technical. Basically Sutskever is saying that scaling (achieving improvements in AI through more chips and more data) is flattening out, and that we need new techniques; he is even open to neurosymbolic techniques, and innateness. He is clearly not forecasting a bright future for pure large language models.Sutskever also said that “The thing which I think is the most fundamental is that these models somehow just generalize dramatically worse than people. And it’s super obvious.…

2025 was a pivotal year in Azure Storage, and we’re heading into 2026 with a clear focus on helping customers turn AI into real impact. 2025 was a pivotal year in Azure Storage, and we’re heading into 2026 with a clear focus on helping customers turn AI into real impact. As outlined in last December’s Azure Storage innovations: Unlocking the future of data, Azure Storage is evolving as a unified intelligent platform that supports the full AI lifecycle at enterprise scale with the performance modern workloads demand. Looking ahead to 2026, our investments span the full breadth of that lifecycle…

The United States’ geopolitical brinkmanship over Greenland has thrown its economic ties to the EU into sharp relief. European powers are considering what instruments it has to combat US belligerence, including the “nuclear option” of offloading US debt.The tone has shifted after a supposed “framework of a deal” at Davos, and US ambitions to take over Greenland have cooled, for now. But EU heads of state are still preparing possible responses to further escalation.One option was cutting off access to US markets through the so-called “trade bazooka.” If triggered, it would cut off US companies from the EU market, costing…

As Congress debates crypto market structure legislation, one issue has emerged as especially contentious: whether stablecoins should be allowed to pay yield.On one side, you have banks fighting to protect their traditional hold over consumer deposits that underpin much of the U.S. economy’s credit system. On the other side, crypto industry players are seeking to pass on yield, or “rewards,” to stablecoin holders.On its face, this looks like a narrow question about one niche of the crypto economy. In reality, it goes to the heart of the U.S. financial system. The fight over yield-bearing stablecoins isn’t really about stablecoins. It…

Cyber threats don’t follow predictable patterns, forcing security teams to rethink how protection works at scale. Defensive AI is emerging as a practical response, combining machine learning with human oversight.Cybersecurity rarely fails because teams lack tools. It fails because threats move faster than detection can keep pace. As digital systems expand, attackers adapt in real time while static defences fall behind. This reality explains why AI security explained has become a central topic in modern cyber defense conversations.Why cyber defense needs machine learning nowAttack techniques today are fluid. Phishing messages change wording in hours. Malware alters behaviour to avoid detection.…

of the AI boom, the pace of technological iteration has reached an unprecedented level. Previous obstacles now seem to have viable solutions. This article serves as an “NMT 101” guide. While introducing our project, it also walks readers step by step through the process of fine-tuning an existing translation model to support a low-resource language that is not included in mainstream multilingual models. Background: Dongxiang as a Low-Resource Language Dongxiang is a minority language spoken in China’s Gansu Province and is classified as vulnerable by the UNESCO Atlas of the World’s Languages in Danger. Despite being widely spoken in local…