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Research & Science
Papers, breakthroughs and what the labs found this week.
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Regarding CVPR 2027 Submission [D]
Does anyone have the author kit for CVPR 2027? The official website doesn't seem to have it yet, unlike in previous years. Please…
AI adoption by industry shows what other sectors can learn
The current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech…
Scientists Discover A Strange Particle Explains the Origin of Reality
Why is the universe the way it is? A long-overlooked particle might have given matter an edge over antimatter in the…
Best way to accurately annotate 500 images for fine-tuning Meta DETR?[P]
Hey everyone! I'm working on an object-detection project and fine-tuning Meta's DETR model on a custom dataset of around 500…
APRIL: Ambiguity-Aware Expert Routing for Respiratory Sound Domain-Incremental Learning
Automated respiratory sound classification enables continuous, non-invasive respiratory assessment, yet long-term deployment…
From Comparison to Selection: Enhancing Cross-Scale Generalization of Pointer Networks Trained with Reinforcement Learning for Capacitated Drone Delivery Routing
Unmanned aerial vehicles (UAVs) enable fast, flexible last-mile and emergency delivery, but their routing remains challenging as…
Quantum-JEPA: Quantum Born Priors for Latent-Action JEPA World Models
A single observation can admit several plausible futures, making uncertainty an essential part of world modelling. However…
Polarity Blindness in LLM Safety: A Systematic Study of Negation, Antonym Substitution, and Adversarial Framing
Negation remains a persistent challenge for language models across NLP tasks and modalities. We show that this weakness can…
The Shape of the DPO Hyperparameter Landscape: What to Measure, How It Moves with Scale, and When Not to Transfer It
Direct preference optimisation (DPO) is widely used for language model post-training, but its performance depends strongly on the…
Physical-Variable-Informed Deep Learning for Robust Diagnosis in Industrial Fluid Transport Systems
Industrial fluid transport systems are monitored through heterogeneous sensing streams, but robust fault diagnosis remains…
A visit to Samsung’s massive new semiconductor hub
Generative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the…
Enumeration-Guided Training of Neural Hamilton-Jacobi Safety Certificates
Hamilton-Jacobi (HJ) reachability analysis offers formal safety guarantees for control systems, but training accurate neural…
Scientists take a major step toward quantum computers that correct their own errors
A quantum processor can do more than execute a fixed sequence and reveal its answer at the end. It can measure selected qubits…
New AI tool can predict cancer survival by a single patient selfie, study suggests
System can estimate a person’s biological age and predict chances of cancer survival from a single photograph Doctors have…
'It Ain't Right:' Texas Said It Would Halt Data Center Permits. The State is Pushing Ahead Anyway
“The Caldwell Technology Park [...] the Stargate facility, and a bunch of other very large hyperscale facilities have gotten…
Are selfdriving delivery robots actually making things cheaper for small businesses?
been watching the Uber Eats robot stuff and wondering whether these systems actually help the kind of small operation I work…
Meta Drops Training From Its Crawl Clause And Keeps The Crawl
Meta removed training from the crawling clause in its upcoming Commercial Terms. The permission to crawl sites tied to business…
Text-to-Image Generative Modeling Without Language Pretraining
Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether…
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited…
CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting
Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shared…
AnyGoal: On World Model Generalization Beyond Expert Rollouts
The goal of a world model is to capture the dynamics of an environment. This has the great appeal that it allows agents to plan…
LatComm: Reusable Context Compression for Latent Communication between Large Language Models
Systems that combine several large language models (LLMs) often use one context for many questions. When the context is passed…
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