AI

Amid declining traditional car revenues, Tesla is signalling a dramatic transformation: from an electric vehicle manufacturer to a networked ecosystem of autonomous vehicles, humanoid robots, energy assets, and AI-driven services. The company’s Q4 2025 earnings call provided a front-row view of this shift, with Elon Musk, CFO Vaibhav Taneja, and other executives outlining a vision where Tesla operates as much as an Internet-of-Things (IoT) company as it does an automaker.
IoT Insights
How Tesla is becoming an IoT powerhouse

Amid declining traditional car revenues, Tesla this week signalled a dramatic transformation: from an electric vehicle manufacturer to a networked ecosystem of autonomous vehicles, humanoid robots, energy assets, and AI-driven services. The company’s Q4 2025 earnings call provided a front-row…

Infovista launches VistAI: Agentic AI for autonomous network operations
AI
Infovista launches VistAI: Agentic AI for autonomous network operations

Infovista launched VistAI an agentic AI framework for telecommunications operators. VistAI enables autonomous network decision-making across the network lifecycle, allowing operators to act on network data insights rather than simply observe them. Network operators have invested heavily in next-generation infrastructure,…

EMASS tapes out 16nm ECS-DoT, advancing always-on Edge AI
AI
EMASS tapes out 16nm ECS-DoT, advancing always-on Edge AI

EMASS announced the successful tape-out of its 16nm ECS-DoT system-on-chip (SoC). The device has entered fabrication at TSMC, marking the transition of EMASS’s next-generation ultra-low-power Edge AI architecture from final design into production silicon. The 16nm ECS-DoT represents a process-node…

Alerify partners with Zadara to bring private sovereign AI
AI
Alerify partners with Zadara to bring private sovereign AI

Alerify announced a new partnership with Zadara This collaboration marks a major step forward in Alerify’s mission to deliver secure, scalable, and fully sovereign private artificial intelligence (AI) solutions. Together, the companies will deliver an integrated solution that simplifies cloud…

AI gold rush or data crash? US businesses gamble with AI
AI
AI gold rush or data crash? US businesses gamble with AI

US businesses are accelerating their AI adoption despite recognising their underlying data foundations may not be fit for purpose, with over half (54%) of businesses overlooking compliance obligations in order to keep up in the AI race. The AND Digital…

Advantech unveils Edge AI solutions accelerated by NVIDIA Jetson Thor for robotics
AI
Advantech unveils Edge AI solutions accelerated by NVIDIA Jetson Thor for robotics

Advantech introduced a new line-up of application-focused Edge AI solutions powered by NVIDIA Jetson Thor modules. The NVIDIA Jetson Thor series set a new benchmark for Edge AI, delivering up to 2070 FP4 TFLOPS of AI performance, along with significant…

The cybersecurity landscape is undergoing a rapid evolution, driven by digital transformation and artificial intelligence.
AI
Cybersecurity outlook for 2026: Navigating AI and the critical Role of connectivity

The cybersecurity landscape is undergoing a rapid evolution, driven by digital transformation and artificial intelligence. These two factors are reshaping the ways in which organisations operate and ultimately defend themselves against threats. As technology continues to advance at an unprecedented…

Facial recognition technology is increasingly being deployed around the world for a growing range of applications, driven by advances in AI and the falling cost of smart cameras.
Smart World
From trolley to template: The rise of facial recognition technology in British supermarkets

For shoppers frequenting the Sainsbury’s supermarket in Sydenham, south London, over the festive period, there was the usual seasonal battle to pile trolleys high with Christmas treats and manoeuvre them through crowds of families doing the same thing. What few…

Nordic Semiconductor is bringing AI intelligence and functionality to the smallest battery-powered IoT devices. With an industry-leading, ultra-low-power Edge AI solution, Nordic accelerates the arrival of a new generation of devices with integrated edge AI intelligence – combining energy efficiency with unmatched ease of use for developers. - nRF54LM20B – New ultra-low-power, large-memory wireless SoC with Axon NPU - Custom Neuton models – ultra-tiny edge AI models - Nordic Edge AI Lab – Development tool, simplifying and accelerating Edge AI development “AI factories train intelligence, but Nordic deploys it – on device, at the edge, where the world happens - said Vegard Wollan, CEO at Nordic Semiconductor. “Edge AI is no longer optional – it’s the only way to deliver safety, privacy, and sustainability at scale. Nordic’s edge AI solution enables millisecond decisions without round-trip latency to the cloud, ensures compliance through local processing, and delivers radically improved battery life for billions of connected devices. This is the new standard for ultra-low-power edge AI and Nordic is defining it.” Next generation nRF54LM20B with Axon NPU In 2023, Nordic acquired Atlazo and its Axon technology. The nRF54LM20B SoC is the first large-memory member of the nRF54L Series, integrating the Axon Neural Processing Unit (NPU), an ultra-efficient AI hardware accelerator, to supercharge demanding Edge AI workloads. Axon delivers up to 7 times faster performance and up to 8 times higher energy efficiency versus competing solutions for tasks such as sound classification, keyword spotting, and image-based detection. The nRF54LM20B SoC pairs the Axon NPU with 2MB NVM, 512KB RAM, a 128MHz Arm Cortex-M33 plus RISC-V coprocessor, high-speed USB, up to 66 GPIOs, and Nordic’s fourth-generation ultra-low-power 2.4GHz radio supporting Bluetooth LE, Bluetooth Channel Sounding, Matter over Thread, and more. Industry-leading ultra-tiny Neuton Edge AI models The Neuton models are ultra-tiny, CPU-run edge AI models that are typically under 5KB and up to 10 times smaller, faster, and more efficient than other CPU-run models. Nordic Edge AI Lab helps developers generate custom Neuton models for anomaly detection, activity and gesture recognition, biometric monitoring, and more – delivering privacy-preserving, real-time intelligence on tiny batteries and constrained memory, without cloud dependency. Edge AI becomes a natural part of any new product design With Nordic Edge AI Lab and Neuton models, intelligence moves from concept to reality without complexity. One recent deployment illustrates this: A global supply chain solution upgraded its smart tracking devices with AI models created in Nordic Edge AI Lab effortlessly, enabling detection of real handling events such as shock, shaking, and transportation directly on an nRF54L Series SoC. These AI-driven insights were rolled out across an entire fleet without operational disruption, thanks to Nordic’s nRF Cloud lifecycle services. “With Nordic Edge AI Lab, Neuton models, and the Axon NPU, Nordic makes advanced on-device AI practical for every embedded developer,” said Oyvind Strom, EVP Short-Range BU at Nordic Semiconductor. “Developers get the simplicity to move fast, and the disruptive performance to scale from wearables to industrial sensing – all enabled within Nordic’s trusted ultra-low-power hardware solutions.” As intelligence moves to the Edge, the need for OTA management and deep observability is growing. At the same time, cloud-based lifecycle services remain critical for device management, embedded observability, and location services. Manufacturers increasingly need continuous insight into device performance – not just to improve products in real time, but to meet growing regulatory and customer requirements. Using data from deployed devices enhances features and optimises performance without disrupting the user experience. This ensures connected products can evolve securely and efficiently throughout their lifecycle.
IoT Insights
Nordic Semiconductor simplifies Edge AI for billions of IoT devices

Nordic Semiconductor is bringing AI intelligence and functionality to the smallest battery-powered IoT devices. With an industry-leading, ultra-low-power Edge AI solution, Nordic accelerates the arrival of a new generation of devices with integrated edge AI intelligence – combining energy efficiency…

DeepSeek has published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI.
AI
Explainer: what are Manifold-Constrained Hyper-Connections (mHCs) and why will they be important in 2026?

If you haven’t heard of Manifold-Constrained Hyper-Connections — mHC for short — you’re not alone. They sounds complicated, but the idea behind them could be a game-changer for AI in IoT this year. The term comes from Chinese AI giant…

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