A high-endurance DNA origami snap-through switch for functional nanoscale control
Science Robotics, Volume 11, Issue 115, June 2026.
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One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators
Extrapolative prediction of complex nonlinear dynamics remains a central challenge in engineering. This study proposes a one-shot learning method to identify global frequency-response curves from a single excitation time history by learning governing equations. We introduce MEv-SINDy (Multi-frequency Evolutionary Sparse Identification of Nonlinear Dynamics) to infer the governing equations of non-autonomous and multi-frequency systems. The methodology leverages the Generalized Harmonic Balance (GHB) method to decompose complex forced responses into a set of slow-varying evolution equations. We validated the […]
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Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges
arXiv:2603.20304v1 Announce Type: new Abstract: As diffusion models (DMs) enable photorealistic image generation at unprecedented scale, watermarking techniques have become essential for provenance establishment and accountability. Existing methods face challenges: sampling-based approaches operate on frozen models but require costly $N$-step Denoising Diffusion Implicit Models (DDIM) inversion (typically N=50) for zero-bit-only detection; fine-tuning-based methods achieve fast multi-bit extraction but couple the watermark to a specific model checkpoint, requiring retraining for each architecture. We propose DiffMark, a plug-and-play watermarking method […]
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Design Space of Self–Consistent Electrostatic Machine Learning Interatomic Potentials
Machine learning interatomic potentials (MLIPs) have become widely used tools in atomistic simulations. For much of the history of this field, the most commonly employed architectures were based on short-ranged atomic energy contributions, and the assumption of locality still persists in many modern foundation models. While this approach has enabled efficient and accurate modelling for many use cases, it poses intrinsic limitations for systems where long-range electrostatics, charge transfer, or induced polarization play a central role. A growing […]
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New materials could boost the energy efficiency of microelectronics
MIT researchers have developed a new fabrication method that could enable the production of more energy efficient electronics by stacking multiple functional components on top of one existing circuit. In traditional circuits, logic devices that perform computation, like transistors, and memory devices that store data are built as separate components, forcing data to travel back and forth between them, which wastes energy. This new electronics integration platform allows scientists to fabricate transistors and memory devices in one compact […]
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AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains
arXiv:2604.19751v1 Announce Type: new Abstract: Generative AI is entering research, education, and professional work faster than current governance frameworks can specify how AI-assisted outputs should be judged in learning-intensive settings. The central problem is proxy failure: a polished artifact can be useful while no longer serving as credible evidence of the human understanding, judgment, or transfer ability that the work is supposed to cultivate or certify. This paper proposes AI to Learn 2.0, a deliverable-oriented governance framework for […]
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Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
arXiv:2603.00710v1 Announce Type: new Abstract: This paper presents a controlled empirical study of biologically motivated local learning for handwritten digit recognition. We evaluate an STDP-inspired competitive proxy and a practical hybrid benchmark built on the same spiking population encoder. The proxy is motivated by leaky integrate-and-fire E/I circuit models with three-factor delayed reward modulation. The hybrid update is local in pre x post rates but uses supervised labels and no timing-based credit assignment. On sklearn digits, fixed-seed evaluation […]
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Types of Operating System with Examples: A Complete Beginner-Friendly Guide
Everything in today’s world is going on with the help of computers and when we talk about computers, operating systems is the first name that comes to our mind. When we talk about the types of operating system with examples, we’re referring to the different ways an operating system is designed to manage hardware, software, and users. An operating system (OS) is the backbone of any computer or smart device. It helps your system run programs, manage files, […]
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Nvidia’s new G-Sync Pulsar monitors target motion blur at the human retina level
It’s been almost exactly two years since Nvidia announced G-Sync Pulsar, its new backlight strobing technology designed to limit display motion blur caused by old images persisting on the viewer’s retina. At the time, Nvidia said that technology would debut on Asus’ ROG Swift PG27 Series monitors by the end of 2024. Nvidia now says the first four G-Sync Pulsar-powered monitors will be available at select retailers starting Wednesday. Those first Pulsar-equipped monitors will be: Acer’s Predator XB273U […]
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Scaling Mobile Chaos Testing with AI-Driven Test Execution
arXiv:2602.06223v1 Announce Type: new Abstract: Mobile applications in large-scale distributed systems are susceptible to backend service failures, yet traditional chaos engineering approaches cannot scale mobile testing due to the combinatorial explosion of flows, locations, and failure scenarios that need validation. We present an automated mobile chaos testing system that integrates DragonCrawl, an LLM-based mobile testing platform, with uHavoc, a service-level fault injection system. The key insight is that adaptive AI-driven test execution can navigate mobile applications under degraded […]
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