Mechanic

Thursday, 22 January 2026

Engineering tool to speed machine design

The tool brings sizing, configuration, and commissioning together to help teams work faster and reduce design time. It is ideal for packaging, material handling, assembly, and custom machine builders.

The launch comes as machine builders face increasing pressure to develop systems faster with fewer engineering resources and less tolerance for rework. Today’s automation projects often combine pneumatic and electric motion, which not only adds complexity but brings together different disciplines. System Configurator supports these real-world requirements by allowing teams to lay out a complete architecture, specify components, and confirm compatibility before hardware is ordered or commissioning begins.

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Tuesday, 20 January 2026

Dynamic surface codes open new avenues for quantum error correction

The core principle of QEC is to flag physical errors while not destabilizing the underlying logical quantum information. QEC circuits contain measurements that can localize physical errors to a "detecting region", containing a few qubits over a few QEC cycles. In other words, when an error is flagged, the detecting region specifies where and when that error could have occured. By combining many overlapping detecting regions, we can narrow down the location of physical errors and prevent any impact on the logical quantum information. In standard surface code circuits, these detecting regions form a square tiling.

Error correction circuits deform these detecting regions in spacetime. In the standard code, the detecting region tiling always returns to its starting point. In dynamic codes, the tiling of detecting regions changes each cycle. As expanded upon below, we demonstrated three new circuits featuring this periodic re-tiling of the detecting regions: hexagonal, walking, and iSWAP. Each of these three circuits solves a unique challenge in QEC: hexagonal circuits reduce the number of couplers, walking circuits limit non-computation errors, and iSWAP circuits allow use of non-standard two-qubit entangling gates. Together, these demonstrations open the door to a variety of dynamic circuits, including those that avoid dropouts.

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Friday, 9 January 2026

A shared architecture for AI-enabled RAN and edge services

Yet many CSPs still struggle to meet the demand for intelligent services and quick decisions at the edge. AI workloads continue to rise, data volumes grow, and many applications now need a response in the moment. Still, most networks rely on centralized platforms far from subscribers. This adds delay, increases cost, and limits the value operators can deliver. It also prevents the real-time insight that today’s markets expect.

RAN sites contain powerful compute resources, but these remain dedicated to radio functions. They cannot support the broader AI needs emerging across industries. Yet AI models grow more complex and place new strain on central systems. CSPs need a way to distribute intelligence without expanding hardware footprints or creating additional silos.

These pressures expose a structural gap. CSPs need a design that supports AI where it offers the most impact: at the edge, close to subscribers and enterprise environments. They also need a model that improves RAN performance while creating new revenue potential.

The Project Aura (AI + RAN) Catalyst addresses this by merging AI for RAN and AI on RAN in one architecture. It uses shared infrastructure to enhance efficiency, reduce cost, and enable edge-native services. This shifts the RAN from a cost center to a strategic platform for growth.

The solution

The project has developed a system supports two intelligence streams running on shared, high-performance hardware. One stream improves RAN performance through AI-driven power saving, interference cancellation, and link adaptation. The other stream supports edge-native applications such as video analytics, drone orchestration, and location-based services. Both run on a single architecture that consolidates data pipelines, orchestration, and GPU acceleration.

The platform blends OSS and BSS logic with CAMARA APIs, enabling consistent integration with systems. Its hybrid-cloud model allows AI workloads to run beside RAN software without reducing radio performance. This improves hardware utilization and reduces the need for dedicated edge devices.

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Saturday, 3 January 2026

Using microwave pulses to plug leaks in quantum computers makes them more reliable

Scientists have developed a new approach to correcting common quantum computing errors, which could pave the way for more reliable systems.

The fundamental units of information in these systems (qubits) are incredibly delicate. Unlike the bits of conventional computers, which have only two values (0 or 1), quantum bits can exist in a combination of states simultaneously, but this property makes them prone to errors such as leakage. This is where a qubit suddenly jumps to a higher energy level, moving out of its operational state, which stops it from being part of the calculation. It also interferes with the other qubits around it.

In a new study published in Physical Review Letters, scientists have revealed a way to plug these leaks before they accumulate and crash the system.

One of the most common ways to deal with errors in quantum computers is with a process called Quantum Error Correction (QEC). However, some QEC operations and the hardware itself can also introduce leakage. Another approach is to shift a qubit's frequency, but this requires additional hardware that is difficult and complex to scale up.

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Friday, 2 January 2026

Scientists achieve first self-powered quantum microwave signal in lab experiment

Researchers at the Vienna University of Technology (TU Wien) and the Okinawa Institute of Science and Technology (OIST) teamed up to demonstrate the first example of self-induced superradiant masing generated without external drivers. Quantum particles teamed up to generate stable, precise microwave signals, opening the door to myriad applications.

Superradiance is a phenomenon in quantum optics in which atoms or quantum dots collectively emit light in single, short pulses. The emission intensity is much stronger than the individual components due to constructive interference.

Superradiance occurs when quantum particles interact with a common light field, and the light’s wavelength is greater than the separation between the emitters. Superradiance is associated with the loss of energy of quantum systems.

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Monday, 29 December 2025

Nanoscale transistors could enable more efficient electronics

Silicon transistors, which are used to amplify and switch signals, are a critical component in most electronic devices, from smartphones to automobiles. But silicon semiconductor technology is held back by a fundamental physical limit that prevents transistors from operating below a certain voltage.

This limit, known as “Boltzmann tyranny,” hinders the energy efficiency of computers and other electronics, especially with the rapid development of artificial intelligence technologies that demand faster computation.

In an effort to overcome this fundamental limit of silicon, MIT researchers fabricated a different type of three-dimensional transistor using a unique set of ultrathin semiconductor materials.

Their devices, featuring vertical nanowires only a few nanometers wide, can deliver performance comparable to state-of-the-art silicon transistors while operating efficiently at much lower voltages than conventional devices.

“This is a technology with the potential to replace silicon, so you could use it with all the functions that silicon currently has, but with much better energy efficiency,” says Yanjie Shao, an MIT postdoc and lead author of a paper on the new transistors.

The transistors leverage quantum mechanical properties to simultaneously achieve low-voltage operation and high performance within an area of just a few square nanometers. Their extremely small size would enable more of these 3D transistors to be packed onto a computer chip, resulting in fast, powerful electronics that are also more energy-efficient.

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Tuesday, 23 December 2025

OpenAI Unveils ChatGPT App Store: Integrations, Hardware, and AI Future

In the rapidly evolving world of artificial intelligence, OpenAI is pushing boundaries that could redefine how we interact with software. The company’s recent launch of an app store integrated into ChatGPT marks a pivotal shift, blending conversational AI with traditional app functionalities. Design executives from major players like Canva, Figma, Adobe, and Target have already begun integrating their tools, raising profound questions about the very nature of applications in an AI-driven era. What happens when an app isn’t a standalone entity but part of an ongoing dialogue with a machine?

This transformation isn’t just theoretical. OpenAI’s Apps SDK, introduced earlier this year, empowers developers to build apps that users can summon mid-conversation. Imagine drafting a design in Figma without leaving your ChatGPT window or ordering from DoorDash while brainstorming meal ideas. According to insights from industry leaders, this could streamline workflows, reducing the friction of switching between apps. Yet, it also challenges long-held assumptions about user interfaces, where static screens give way to dynamic, context-aware interactions.

The implications extend beyond convenience. As AI becomes more agentic—capable of independent actions—the line between user and system blurs. Early adopters report that these integrations feel like having a digital assistant that anticipates needs, pulling in tools seamlessly. But this raises concerns about data privacy and control, as conversations weave through multiple services. OpenAI’s move is bold, positioning ChatGPT not just as a chatbot, but as a central hub for digital life.

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