Research
Remembering IEEE Power & Energy Society Leader Mel Olken
Mel OlkenFormer executive director of the IEEE Power & Energy SocietyFellow, 92; died 9 JanuaryOlken became the first executive director of the IEEE Power & Energy Society (PES) in 1995. In 2002 he left the position to serve as founding editor in chief of the society’s Power & Energy Magazine. Olken
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2nd-ever test flight of NASA's 'quiet' X-59 supersonic jet cut short by glitch
NASA's "quiet" supersonic X-59 jet took to the skies for the second time ever on Friday (March 20), but it didn't stay up for long.
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Rare daytime fireball may have dropped meteorites on Texas: Here's where to find them
The fireball shattered with the force of 26 tons of TNT, potentially spreading shards over a swathe of Texas land.
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Astrophotographer spies Thor's Helmet shining 15,000 light-years away in spectacular photo
A massive stellar wind bubble sculpts the nebula into the shape of the Norse god's famous helmet.
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Triangulum Galaxy dazzles in psychedelic color | Space photo of the day for March 23, 2026
Astronomers captured a colorful new portrait of the Triangulum Galaxy, revealing complex clouds of gas in between the galaxy's 40 billion stars.
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Transforming Data Science With NVIDIA RTX PRO 6000 Blackwell Workstation Edition
This is a sponsored article brought to you by PNY Technologies.In today’s data-driven world, data scientists face mounting challenges in preparing, scaling, and processing massive datasets. Traditional CPU-based systems are no longer sufficient to meet the demands of modern AI and analytics workflow
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Northern lights dazzle worldwide as strong G3 geomagnetic storm sparks stunning show (photos)
Powerful geomagnetic storms sent the northern lights dancing far beyond the poles, delivering a spectacular show across the world.
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Are mysterious 'Little Red Dots' discovered by the James Webb Space Telescope actually baby galaxies under construction?
What if the mysterious 'Little Red Dots' aren't baby black holes, but rather globular clusters in their messy, glorious formation?
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Why Thermal Metrology Must Evolve for Next-Generation Semiconductors
An in-depth examination of how rising power density, 3D integration, and novel materials are outpacing legacy thermal measurement — and what advanced metrology must deliver.What Attendees will LearnWhy heat is now the dominant constraint on semiconductor scaling — Explore how heterogeneous integrati
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Could our universe exist because black holes ate up all the antimatter?
Did primordial black holes born during the Big Bang swallow the universe's antimatter, allowing matter to dominate the cosmos?
When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
arXiv:2603.19247v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly integrated into high-stakes applications, making robust safety guarantees a central practical and commercial concern. Existing safety evaluations predominantly rely on fixed collections of harmful prompts,
DuCCAE: A Hybrid Engine for Immersive Conversation via Collaboration, Augmentation, and Evolution
arXiv:2603.19248v1 Announce Type: new Abstract: Immersive conversational systems in production face a persistent trade-off between responsiveness and long-horizon task capability. Real-time interaction is achievable for lightweight turns, but requests involving planning and tool invocation (e.g., s
Spelling Correction in Healthcare Query-Answer Systems: Methods, Retrieval Impact, and Empirical Evaluation
arXiv:2603.19249v1 Announce Type: new Abstract: Healthcare question-answering (QA) systems face a persistent challenge: users submit queries with spelling errors at rates substantially higher than those found in the professional documents they search. This paper presents the first controlled study
Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
arXiv:2603.19250v1 Announce Type: new Abstract: Evaluating language models in streaming environments is critical, yet underexplored. Existing benchmarks either focus on single complex events or provide curated inputs for each query, and do not evaluate models under the conflicts that arise when mul
Enhancing Legal LLMs through Metadata-Enriched RAG Pipelines and Direct Preference Optimization
arXiv:2603.19251v1 Announce Type: new Abstract: Large Language Models (LLMs) perform well in short contexts but degrade on long legal documents, often producing hallucinations such as incorrect clauses or precedents. In the legal domain, where precision is critical, such errors undermine reliabilit
GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams
arXiv:2603.19252v1 Announce Type: new Abstract: Evaluating the symbolic reasoning of large language models (LLMs) calls for geometry benchmarks that require multi-step proofs grounded in both text and diagrams. However, existing benchmarks are often limited in scale and rarely provide visually grou
A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
arXiv:2603.19253v1 Announce Type: new Abstract: Argument mining (AM) is an interdisciplinary research field focused on the automatic identification and classification of argumentative components, such as claims and premises, and the relationships between them. Recent advances in large language mode
From Comprehension to Reasoning: A Hierarchical Benchmark for Automated Financial Research Reporting
arXiv:2603.19254v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to generate financial research reports, shifting from auxiliary analytic tools to primary content producers. Yet recent real-world deployments reveal persistent failures--factual errors, numerical inc
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
arXiv:2603.19255v1 Announce Type: new Abstract: Despite the strong performance of Large Language Models (LLMs) on complex instruction-following tasks, precise control of output length remains a persistent challenge. Existing methods primarily attempt to enforce length constraints by externally impo
ShobdoSetu: A Data-Centric Framework for Bengali Long-Form Speech Recognition and Speaker Diarization
arXiv:2603.19256v1 Announce Type: new Abstract: Bengali is spoken by over 230 million people yet remains severely under-served in automatic speech recognition (ASR) and speaker diarization research. In this paper, we present our system for the DL Sprint 4.0 Bengali Long-Form Speech Recognition (Tas