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Large language models (LLMs) can generate executable source code from natural language prompts, fueling a fast-growing ecosystem of AI-assisted software development tools. However, evaluation practices for these systems remain largely one-dimensional, focusing almost exclusively on functional correctness. This narrow lens overlooks critical aspects of software performance and readiness, notably ru
En av valrörelsens stora snackisar var om Liberalerna skulle klara spärren. Mycket tyder på att L åtnjöt en lika strid ström av taktiska röster från Moderatsympatisörer som Kristdemokraterna gjorde vid valet 2010.
This paper presents a control/scheduling co-design framework that integrates 5G Configured Grant (CG) scheduling with networked control systems (NCS) design. The objective is to minimize the hyperperiod induced by multiple, application-specific sampling periods, which determines the schedule table size and memory footprint at the base station, subject to control quality and wireless resource limit
Self-supervised pre-training based on next-token prediction has enabled large language models to capture the underlying structure of text, and has led to unprecedented performance on a large array of tasks when applied at scale. Similarly, autonomous driving generates vast amounts of spatiotemporal data, alluding to the possibility of harnessing scale to learn the underlying geometric and semantic
Medan opinionsmätningarna duggade tätt låg en annan fråga och skvalpade under ytan i valrörelsen: om framtiden för AI-bolagen och hur datacenter ska byggas och förses med el i det svenska landskapet. Här finns en skiljelinje som kan ha påverkat valutgången och kommer göra det framöver.
Heavy-duty road transport is a major source of greenhouse gas emissions. Decarbonizing long-distance routes is challenging because high-power en-route charging imposes severe grid stress, especially in systems integrating large shares of photovoltaics (PV). Driving-time regulations for truck drivers, such as Japan's mandatory 3 0-minute break, create predictable charging windows. Charging a heavy-
As the Hamming Quasi-Cyclic (HQC) cryptosystem was recently selected by NIST for standardization, a thorough evaluation of its implementation security is critical before its widespread deployment. This paper presents single-trace side-channel attacks that recover the full long-term secret key of HQC, experimentally evaluated on a protected Cortex-M4 implementation. We introduce two distinct attack
Regogörelse för när Lunds universitet 1844 erbjöds egendomen Häckeberga som donation, men på villkor som gjorde att regeringen beslöt att avböja gåvan.
Reconfigurable scan networks (RSNs) provide efficient and flexible access to on-chip logic, such as instruments for test and diagnostics, throughout a semiconductor’s lifetime. Test instruments are powerful, as they provide high controllability and observability. The availability of a high number of test instruments, as well as the standardized and easy access, makes RSNs a valuable target for an
The focus of this study is threefold: (1) to examine how jaw displacement patterns vary with prosodic focus in American English, (2) to determine whether narrow focus induces greater jaw lowering than broad focus, and (3) to compare two different techniques for recording these jaw displacement patterns—Electromagnetic Articulography (EMA) and the new, innovative MARRYS helmet system. Simultaneous
Systematiskt genomgång av de totalt 17 lundaprofessorer vilka under 1600- och 1700-talen erhöll adelskap, antingen personligen eller för sina barns del.
This study presents high-fidelity Large Eddy Simulations (LES) of supersonic combustion in a Mach 2 cavity flameholder over the full stable fueling region from 40 to 200 slpm. The simulations employ Finite Rate Chemistry LES with the Z70 ethylene-air mechanism, the Localized Dynamic k-equation model, Partially Stirred Reactor turbulence-chemistry interaction model, conjugate heat transfer, and the
