Author: Carter

Story highlights AI Singapore and Dell Technologies are bringing the SEA-LION model to AI PCs and edge devices The collaboration enhances Southeast Asian language models for efficient performance on lightweight infrastructure Running models locally empowers organisations with offline capabilities, enhanced privacy and lower costs Optimised infrastructure democratises access to culturally relevant AI innovation across the region SINGAPORE, Jan. 13, 2026 /PRNewswire/ — AI Singapore (AISG) is working with Dell Technologies to enhance its SEA-LION (Southeast Asian Languages in One Network) family of open-source large language models (LLMs). The organisations are testing and validating SEA-LION models across various Dell AI PCs and…

If electricity used to flow in just one direction — from big power plants to consumers — today’s picture looks completely different. People with solar panels on their roofs aren’t just consumers anymore — they’re producers too. Our traditional system for tracking and trading energy wasn’t built for this kind of complexity. The blockchain in the energy market shows impressive growth — from $3.1 billion in 2024, it’s expected to hit over $90 billion by 2034. Behind these figures sit real problems: how do you track where exactly your electricity came from? How do you make sure that a renewable…

The Cybersecurity and Infrastructure Security Agency is on the verge of going a full year without a permanent leader, as cyber experts say the void is preventing CISA from moving forward on key issues and leaving an already reeling workforce in the lurch. The Senate earlier this month returned Sean Plankey’s nomination to the White House after lawmakers failed to vote on it during last year’s session. President Donald Trump formally nominated Plankey in March of last year. Plankey is a widely respected official whose nomination had broad backing from industry and bipartisan support on Capitol Hill. But his nomination…

Quantifying coherence and entanglement remains a significant hurdle in the development of quantum technologies, especially when dealing with complex, high-dimensional systems. Ting Lin, Zhihua Chen, and Kai Wu, from Jimei University, alongside Zhihua Guo of Shaanxi Normal University, Shao-Ming Fei from Capital Normal University, and Zhihao Ma, have now demonstrated a machine learning technique to directly estimate these crucial quantum properties. Their research introduces a support vector regression (SVR) model that accurately determines coherence and entanglement using only a minimal set of readily measurable quantities , specifically, diagonal entries and traces of density matrices. This innovative approach bypasses the need…

Apple plans to use Google’s Gemini artificial intelligence model to power its updated version of Siri, which is set to launch later this year, the two companies announced Monday.”After careful evaluation, Apple determined that Google’s Al technology provides the most capable foundation for Apple Foundation Models and is excited about the innovative new experiences it will unlock for Apple users,” Apple and Google said in a statement. The two companies noted they have entered into a multi-year contract whereby Apple will use Google’s Gemini model and cloud computing technology to power AI features.The move could help Apple accelerate the release…

Internet of things MarketInternet of Things Market OverviewInternet of Things (IoT) industry is experiencing unprecedented growth, transforming the way businesses, governments, and consumers interact with technology. The market is projected to expand from USD 193.22 Billion in 2025 to USD 1430.22 Billion by 2035, registering a robust CAGR of 22.16% over the forecast period. This rapid expansion is driven by increasing adoption of connected devices, rising demand for smart solutions across industries, and advancements in communication technologies such as 5G and edge computing. IoT is no longer limited to consumer applications; it is penetrating industrial sectors, healthcare, agriculture, smart cities,…

Jan 12, 2026Ravie LakshmananHacking News / Cybersecurity This week made one thing clear: small oversights can spiral fast. Tools meant to save time and reduce friction turned into easy entry points once basic safeguards were ignored. Attackers didn’t need novel tricks. They used what was already exposed and moved in without resistance. Scale amplified the damage. A single weak configuration rippled out to millions. A repeatable flaw worked again and again. Phishing crept into apps people rely on daily, while malware blended into routine system behavior. Different victims, same playbook: look normal, move quickly, spread before alarms go off. For…

Artificial intelligence (AI) startups Cast AI, Cyera and Swap headlined a wave of capital injections this week, reflecting where investors see near-term demand as enterprises scale production AI systems. The deals point to continued interest in tools that manage compute constraints, govern sensitive data and apply AI directly to revenue-generating workflows. Cast AI Hits Unicorn Status With GPU Marketplace Expansion Cast AI, a cloud and Kubernetes automation specialist, announced a strategic investment that pushed its valuation beyond $1 billion with the launch of OMNI Compute, a unified GPU marketplace designed to simplify AI infrastructure deployment. The platform lets enterprises automatically…

As the calendar flips to 2026, the realm of cloud computing finds itself at a pivotal crossroads, grappling with unprecedented demands from artificial intelligence, escalating energy constraints, and a surge in regulatory scrutiny. Industry leaders, from hyperscale providers to niche innovators, are confronting a host of obstacles that could redefine how businesses leverage remote data storage and processing. Drawing from expert insights and recent analyses, this deep dive explores the multifaceted hurdles ahead, while highlighting emerging strategies that promise to steer the sector toward resilience and growth. At the heart of these issues lies the explosive growth of AI workloads,…

Guest Post by Alexander Rogan As the transition toward post-quantum cryptography accelerates, much of the Web3 security conversation has focused on mathematical resilience. With NIST finalising standards such as ML-DSA, the standardised form of CRYSTALS-Dilithium, the industry is rightly preparing for a future in which classical signature schemes can no longer be assumed durable. This work is essential. But it addresses only part of the risk surface. In practice, the majority of high-impact digital asset losses do not arise from broken cryptography. They occur before cryptography ever has a chance to fail, inside compromised execution environments where transaction intent, keys,…