This paper proposes a simple current-controlled second-order LAM mathematical model, which exhibits both negative differential resistance edge of chaos (EOC) domains and positive differential resistance (PDR) EOC domains, and constructs a minimalist third-order neuronal circuit by simply paralleling the LAM with a capacitor.
Zhenzhou Lu, Xinyi Wang, Zhi Zeng et al.· Chinese Physics B· 0 citations
It is shown that edge symmetries can be exploited to design syndrome-extraction circuits from the underlying components, rather than from the full quantum code, to produce depth-optimal circuits from the underlying components.
FedMARL-LTI is presented, a federated multi-agent reinforcement learning framework whose architecture answers both pressures with a single decision: each organization’s threat intelligence is shared only as a differentially private 768-dimensional semantic embedding, never as raw data.
A novel video-based stress detection system with speaking awareness that dynamically processes facial features according to online detection of speech activities to demonstrate the system's applicability to real-world applications in stress tracking across healthcare, educational, and workplace well-being contexts.
Ahmad Rafiqan, Rachmad Setiawan, T. Sardjono· JAREE (Journal on Advanced R...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
The methods through which smart farming and human-wildlife conflicts can be reduced are discussed, based on increasing scalability and sustainability through use of satellite data, multimodal sensing and community-based warning systems.
Patil Rohit Uttam, Bhopale Dr. S. D.· Indian Journal of Electronic...· 0 citations
The results demonstrate the potential of adaptive reward weighting to provide a systematic mechanism for controlling the exploration–imitation trade-off and enhancing the stability and robustness of GAIL-based policy learning while retaining the exploration advantages of the TD3-SAC hybrid framework.
Mehran Ali, Zia Ullah, Aliza Ashfaq· Journal of Engineering and C...· 0 citations
We study weighted periodic-orbit zeta functions for an infinitely cusped tree lattice $Y_q$, where $q\ge2$ is even and the quotient is a one-sided comb. The global Euler product fails coefficientwise because infinitely many primitive cycles have length four. A first-return determinant at a finite directed-edge set nevertheless exists, and stationary Schur elimination gives an algebraic formula for the root local zeta and its dominant poles. For the two-step multiplicity potential we compute the Gurevich pressure $P_G=2\log(q+1)$ and pressure at infinity $P_\infty=\log(4q)$, yielding strong positive recurrence and exponential local-orbit asymptotics. The height-damped transition operator is trace class. After subtraction of an explicit integrated-pressure counterterm, the inverse Fredholm determinant has a locally uniform finite part, expressed by a convergent dilogarithmic product and covariant under changes of height.
Level graphs and strong level graphs are introduced as tools to define and compute the chromatic number of BIFGs, demonstrating that the proposed level-graph method yields exact chromatic numbers for classes of BIFGs.
Fikadu Tesgera Tolasa, V. Repalle, G. A. Ganati et al.· F1000Research· 0 citations
We present a self-consistent hybrid global–2D model for reactor-scale simulation of SF
6
/Ar ICP etching. Unlike prior reactor-scale hybrids, which couple two spatial solvers, the framework couples a 0D global SF
6
/Ar chemistry solver to a 2D axisymmetric electromagnetic and species-transport solver through a shared masked-domain representation and a two-level Picard iteration. The 2D solver transports the nine neutrals with n
e
and T
e
, ion densities following from quasi-neutrality, while the full Lallement SF
6
/Ar chemistry and its coupled surface reactions are retained in the 0D model, at minutes of wall-clock time per operating point, far below a full multidimensional solve. The principal advance is that quantities ordinarily prescribed in reactor-scale 2D simulations, such as the power-coupling efficiency η, the electron-density profile n
e
(r,z), and the electron-temperature profile T
e
(r,z), are instead emergent outputs, so that the operating point determines the plasma state. Benchmarked against spatially resolved wafer-plane fluorine measurements, the model reproduces the absolute wafer-center fluorine density to within 6–20% on the calibration composition, over-predicts a blind composition by 1.5–2.1×, and under-predicts the measured center-to-edge [F] non-uniformity by roughly 15 percentage points. Both absolute-density residuals lie within the combined measurement and rate-coefficient uncertainty. A neural-network surrogate reproduces the wafer-relevant atomic-fluorine and SF
6
fields at sub-second inference, an 872× acceleration on a local workstation and 1750× on the NCSA Delta HPC system, each against the standalone chemistry–transport solve on that platform; a 21-channel extension emulating the reduced 2D state runs at 55–91×. An LXCat-based electron-kinetics analysis finds the dominant low-energy rates distribution-insensitive within roughly 20%, supporting the Maxwellian-averaged rates retained. Because the plasma state is computed rather than fitted, the converged model serves as a predictive instrument for testing physical hypotheses and operating scenarios. Together, the validated model and its surrogate form the predictive kernel of a reactor-scale SF
6
/Ar ICP digital twin for near-real-time recipe development.
Muhammad A. E. Abdelghany, Zachariah Ngan, D. Qerimi· Journal of Physics D: Applie...· 0 citations
We study the formation and interaction of dispersive shock waves (DSWs) in the two-dimensional Toda lattice subject to wedge-type initial conditions, and show that their interaction gives rise to a discrete analog of Mach reflection for dispersive shock waves in discrete systems. The initial jump across each leg of the wedge acts locally as a Riemann problem for the one-dimensional Toda lattice, producing two oblique DSWs whose leading-edge soliton amplitude is determined explicitly by the one-dimensional Whitham modulation theory. The two-dimensional nature of the problem manifests when these oblique DSWs meet along the symmetry axis. We show that, for compressive wedges (i.e., when the initial conditions are such that two oblique DSWs that are generated propagate toward each other), a critical slope $q_{\mathrm{cr}}$ separates two regimes: in the subcritical regime ($q<q_{\mathrm{cr}}$) the interaction is resonant and it produces an expanding DSW whose amplitude, length and velocity are explicitly computed by using exact soliton solutions of the two-dimensional Toda lattice; in the supercritical regime ($q>q_{\mathrm{cr}}$) the interaction is ordinary and produces a localized peak whose amplitude is determined analytically. We also show qualitatively that a similar dichotomy between two regimes exists for expansive wedges (i.e., when the initial conditions are such that the two oblique DSWs propagate away from each other). We confirm all analytical predictions by comparing them with the results of direct numerical simulations. Finally, we show that the continuum limit of the result is consistent with the analogous theory for the Kadomtsev-Petviashvili equation, providing an independent validation of the analytical framework.
M. Calabrese, G. Biondini, C. Chong et al.· 0 citations
Tuning the reservoir Hamiltonian and the evolution time with Bayesian optimization at each encoding length, it is found that recurrent quantum memory is essential when a task must reach far into the past, and dispensable when the relevant history is short, where the memoryless reset limit already suffices.
Carlos Ramon-Escandell, Arnau Riera, Marcin Płodzień· 0 citations
This work develops a multi-agent proximal policy optimization (MAPPO) algorithm to achieve a long-term optimal tradeoff between energy consumption and latency and demonstrates that under identical hyperparameter settings and training episodes, MAPPO achieves stable convergence and outperforms other MADRL baselines.
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduAug 31, 2026
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
MIT News · Artificial Intelligence· news.mit.eduAug 27, 2026
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
