All Articles
16590 articles total
RealDESED: A Real-World Domestic Sound Event Detection Benchmark
RealDESED is introduced as a real-world domestic sound event detection benchmark to bridge the gap between simulated datasets and real-world deployment.
Spatiotemporal Facial Action Unit Detection using Twin Cycle Autoencoders for Driver Monitoring
The Twin Cycle Autoencoder (TCA) is proposed for spatiotemporal facial action unit detection to monitor driver drowsiness and distraction on embedded platforms.
JOR-Bench: Japanese Operations Research Benchmarks for Large Language Models
JOR-Bench provides five Japanese-language benchmarks to evaluate LLMs' ability to formulate and solve operations research problems.
Explainable Lightweight Compact Deep Models for Speech Emotion Recognition
A framework for explainable and lightweight speech emotion recognition is presented, utilizing a compact CNN and Grad-CAM for transparency.
First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers
Research on local task adaptation in Transformers reveals that while first-order perturbations are predictable, pairwise task composition is fragile and order-sensitive.
Recreating the math behind the first stealth aircraft
A discussion on recreating the mathematical foundations used to design the first stealth aircraft.
Range Rover answers the question: "What if we built a not-SUV?"
Range Rover announces the debut of the Range Rover GT, an electric vehicle with a hybrid version to follow.
On the run for 20 years, most-wanted fugitive caught hiding as a biotech exec
A most-wanted fugitive was captured in New York after hiding as a biotech executive for 20 years.
Sony releases one last trailer for Spider-Man: Brand New Day
Sony releases a final trailer for the movie Spider-Man: Brand New Day.
Confusion swirls on source of diarrhea outbreak, but it’s still Taylor Farms
Continued confusion regarding the source of a diarrhea outbreak linked to Taylor Farms.
Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning
Proposes the Privacy-Cost Equity Ratio (PCER) to ensure fairness in differentially private machine learning by accounting for privacy costs as equity inputs.
CLOSER-Bench: Evaluating Budgeted Cross-Stage Design Closure for Hardware Agents
Introduces CLOSER-Bench, a protocol for evaluating hardware agents' ability to achieve design closure across RTL-to-GDS stages.
TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos
Presents TellTale, a text-only approach for recognizing ambivalence and hesitancy in videos using LoRA-tuned text encoders and a zero-shot LLM judge.
Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
Develops a theory and test battery for the falsification-based verification of optimization models generated by LLMs.
Position: Explanation Stability Is a Property of the Model Method Pair, Not the Model
Argues that explanation stability in AI is a property of the model-method pair rather than the model alone, calling for cross-method validation.
An Engineer's Guide to USB Type-C [pdf]
A comprehensive technical guide focusing on the specifications and engineering details of the USB Type-C standard.
Gemini last models: temperature, top_p, and top_k are deprecated and ignored
Google's Gemini last models have deprecated temperature, top_p, and top_k parameters, rendering them ignored in API calls.
Furtex: Post-exploitation, rootkit and evasion research toolkit for Linux
Furtex is introduced as a research toolkit for Linux post-exploitation, rootkit development, and evasion techniques.
Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning
Introduction of Building2Building (B2B), a large-scale benchmark for HVAC control to study generalizable reinforcement learning in real-world settings.
Capacity and Redundancy Trade-offs in Multi-Task Learning
Research on Capacity and Redundancy Trade-offs in Multi-Task Learning, proposing a Capacity-Redundancy identity to analyze negative transfer.