Mechanic

Tuesday, 24 February 2026

Quantum computing leap for remote energy systems

Engineering researchers at Flinders University have won federal funding to develop a quantum computing-based demonstrator for remote community energy systems.

A quantum computer can perform calculations in minutes that take a supercomputer days, consuming kilowatts instead of megawatts of power.

Led by Professor of Electronic and Electrical Engineering Apel Mahmud the project will use advanced quantum optimisation and machine learning algorithms to design a quantum-based demonstrator model for remote community energy systems.

The $1.45 million project, kickstarted by $1.15 million in the latest round of grants announced by the Australian Government’s Critical Technologies Challenge Program, will work with industry partners EfficientSee and Zeco Australian Energy Solutions, as well as experts from two other Australian universities.

Professor Mahmud’s latest research focuses on sustainable and reliable energy supply solutions for rural and remote communities, including First Nations communities.

“Building on our feasibility study in Stage 1, the new energy management system will address complex computational challenges associated with reliable electricity supply to remote areas,” Professor Mahmud said.

“More intelligent control and forecasting of supply to these remote energy systems will support government efforts to reduce the financial burden of these high-cost systems.”

Key outcomes of the project will include creating a digital twin of remote energy systems and integrating these into a working prototype.

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#QuantumComputing #EnergySystems #SmartGrid #RemoteEnergy #QuantumOptimization #SustainableEnergy #EnergyInnovation #FutureTech #GridResilience #CleanTechnology

Thursday, 19 February 2026

Neural CAD accelerates design exploration

In the early stages of a design project, during ideation and conceptualisation, tools should accommodate the broadest methods of expression. Early specifications, outlines, rough sketches and photos (among others) are all essential in expressing ideas.

Yet, the core paradigm of CAD software, parametric CAD, has remained largely unchanged for 40 years. These engines, built using traditional software technology, rely on a keyboard, mouse and typical user interface. Creators must explicitly define parameters such as the dimensions of an object. That can restrict creativity.

Creators need technology that doesn’t obstruct their creative flow. Instead, it should enable rapid and iterative exploration of ideas, regardless of how detailed or approximate they might be.

Over the past decade, research has underscored that early-stage explorations significantly enhance project metrics like cost, sustainability and suitability. That’s why recent advancements in neural technology are generating such excitement.

Unlike parametric CAD, they are learning and improving, so that they constantly align better to creators’ needs and ways of working. Meanwhile, they can reliably reason about the three-dimension and physical world.

Ultimately, these advancements are aimed at making creators faster, smarter and more competitive. The quicker designers can turn around their designs, the faster they can move products to markets – but the impact goes beyond speed. AI-powered design tools can directly reason about the immense complexity within design creation. It is this that sets the stage for vast improvements across the entire design and make category.

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DesignAutomation #MachineLearning #DeepLearning #ComputationalDesign #ProductDevelopment #DigitalEngineering #3DModeling #Optimization #FutureDesign #EngineeringAI #TechInnovation

Tuesday, 17 February 2026

No wires, no plugs, just power through the air: How Finland is experimenting with wireless electricity

Finland is pioneering next-generation wireless electricity systems that transmit power safely through the air without cables or plugs. Researchers and technology companies are testing advanced radio frequency and resonant inductive coupling solutions to energize IoT devices, sensors, and smart infrastructure. These experiments aim to improve efficiency, reduce wiring costs, and enable seamless energy access in homes, factories, and smart cities. By integrating renewable energy and intelligent grid management, Finland is shaping a future where power flows invisibly, reliably, and sustainably across connected environments.

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#WirelessPower #FinlandTech #EnergyInnovation #PowerBeaming #FutureEnergy #CleanTechnology #SmartGrid #RenewableFuture #TechExperiment #ElectricityRevolution #SustainableEnergy #InnovationHub #GreenPower #NextGenEnergy #ContactlessCharging #EnergyResearch #NordicInnovation #PowerTransmission #DeepTech #EnergyTransformation

Sunday, 15 February 2026

multi-agent AI is transforming network fault repair

The ‘Multi-level multi-agent network fault healing’ Catalyst delivers a hierarchical multi-agent system that uses LLM-driven diagnosis, digital-twin simulation and cross-domain coordination to automate end-to-end network fault detection, analysis and repair.

Large 5G rollouts and the growth of computing-network services have created dense layers of operational systems that generate vast volumes of alarms and events. These environments now demand response times that conventional tools cannot provide. CSPs face surges in work orders triggered by alarm storms, limited coordination between domains, and manual processes that slow fault handling. Diagnosis often relies on isolated tools and human knowledge, with little ability to form a complete cross-domain view. As a result, network operations centers experience long mean time to repair, inconsistent practices, and rising operational costs.

This pressure is particularly visible in transport networks, where faults often involve multiple layers and vendors. A single issue can trigger related alarms across fiber, optical, IP and service layers, yet existing systems treat these fragments separately. CSPs cannot easily connect symptoms to a root cause or confirm the impact on services. Manual effort still dominates routine faults, and repetitive tasks consume valuable specialist time. These challenges impose commercial strain. Slow diagnosis prolongs service interruptions and weakens SLA performance. High OPEX limits the ability to scale new services. As networks evolve toward Level 4 autonomy, these constraints become incompatible with the operational maturity required.

The market context also shows clear demand for more intelligent and automated models. CSPs need systems that integrate network insights, interpret intent, act across domains, and verify change before execution. They require architectures that support collaboration rather than isolated automation. Crucially, they need solutions that can be deployed at scale without heavy customization, and with standardized interfaces that avoid vendor lock-in.

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#MultiAgentAI #NetworkAutomation #FaultRepair #AIinNetworking #SmartNetworks #AutonomousSystems #SelfHealingNetworks #DigitalTransformation #EdgeComputing #AIInnovation #NetworkResilience

Saturday, 14 February 2026

A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

In the new research, scientists describe their desire to use photons for tensor processing—a form of computer math where entire sets of data are digested together instead of just one datum at a time. This is a paradigm for data crunching in which numbers and other values can be stored across many dimensions in a large math structure. This type of math has potential value in many fields, but for machine learning structures like large language models (LLMs) and other forms of artificial intelligence (AI), it’s considered a gamechanger because it’s very compatible with model training and other AI work.

Inside your traditional computer, everything you see, type, and click on is a high level representation of code. Your hardware has to be ready for you to do a variety of tasks as a general user, from crunching a huge Excel spreadsheet into a marketing report to playing a cutting-edge video game. But AI often does not need breadth in that way. Its hardware can focus on specific types of math and storage that are the most helpful and efficient, and transitioning these processes from electron to photon computing could be even faster.

In their paper, the scientists in China lay out a new photon process where just one light source can do more than one tensor operation at once. This is essential, because this math involves multiplying huge grids of values into other huge grids of values, typically resulting in a solution represented by an even larger grid. Inside the computer, if one math problem can’t run in tandem with other operations, the system can get really bogged down and slow.

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#PhotonicComputing
#OpticalProcessors
#LightBasedChips
#NextGenComputing
#SiliconPhotonics
#OpticalAI
#PhotonicsRevolution Memory full

Wednesday, 11 February 2026

DwyerOmega Expands Digital Engineering Tools with 3D CAD Models for Flow, Pressure, and Temperature Products on TraceParts

DwyerOmega's sensors and measurement systems support mission-critical applications across industries such as process control, automation, environmental monitoring, and advanced manufacturing. By delivering CAD models directly into the design tools engineers use daily, the company is helping customers minimize rework, improve accuracy, and bring innovations to market faster.

DwyerOmega is a leading global manufacturer of precision measurement and control solutions, trusted across a wide range of industrial and controlled-environment applications. Our technologies help customers monitor, manage, and optimize critical processes with confidence.

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#DwyerOmega #TraceParts #3DCAD #DigitalEngineering #FlowSensors #PressureSensors #TemperatureSensors #CADModels #EngineeringDesign #ProductDevelopment #Automation #IoT

Tuesday, 10 February 2026

Energous: Wireless Power Strategy Hinges on IoT Adoption

The commercial rollout of Energous's wireless power networks is advancing, with current applications in warehousing and digital supply chains. For shareholders, the pivotal question remains whether the company can achieve a decisive acceleration in market penetration within the Internet of Things (IoT) device sector. The level of genuine demand for its radio frequency (RF)-based charging solutions is expected to become clearer in the coming weeks.

Core technology centered on radio frequency (RF) wireless power transfer
Deployment seen in logistics, retail, and industrial manufacturing
Next quarterly financial report anticipated for Thursday, February 26

A global shift toward smart automation is benefiting the wireless power market. Energous is focusing on scalable systems capable of delivering both energy and data simultaneously to numerous devices. These systems power applications like electronic shelf labels and logistics tracking sensors. The strategy's success is largely contingent on how deeply the technology can be embedded into existing industrial workflows to enable comprehensive digital visibility across supply chains.

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#Energous #WirelessPower #IoT #SmartDevices #CableFree #TechInnovation #EnergyTech #ConnectedWorld