Apple iPhone 17 Review: Close to Perfect
If you need to upgrade this year, the iPhone 17 comes close to perfection.
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Tado’s new AI features will adaptively heat your home
Smart thermostat company Tado is launching new AI-powered features that aim to help users heat their homes more efficiently. Tado says the AI Assist update builds on the company’s existing Auto Assist options by introducing “advanced machine-learning” that “learns, predicts,…
A first look at Kojima’s OD Xbox game
Hideo Kojima first announced he was teaming up with Xbox for a new game in 2022, before a teaser revealed the OD name and some cast last year. We’re now getting a better look at exactly what OD is, in…
Chewy Promo Codes: $20 Off | September 2025
Explore Chewy coupon codes for great discounts, like a $20 gift card with a purchase of $49 or more.
Audio Super-Resolution with Latent Bridge Models
arXiv:2509.17609v1 Announce Type: cross Abstract: Audio super-resolution (SR), i.e., upsampling the low-resolution (LR) waveform to the high-resolution (HR) version, has recently been explored with diffusion and bridge models, while previous methods often suffer from sub-optimal upsampling quality due to their…
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts
arXiv:2503.19769v3 Announce Type: replace-cross Abstract: Segmentation is a fundamental task in computer vision, with prompt-driven methods gaining prominence due to their flexibility. The Segment Anything Model (SAM) excels at point-prompted segmentation, while text-based models, often leveraging powerful multimodal encoders like…
Differentially Private Synthetic Graphs Preserving Triangle-Motif Cuts
arXiv:2507.14835v2 Announce Type: replace-cross Abstract: We study the problem of releasing a differentially private (DP) synthetic graph $G’$ that well approximates the triangle-motif sizes of all cuts of any given graph $G$, where a motif in general refers to a…
EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning
arXiv:2508.07809v3 Announce Type: replace Abstract: Reinforcement learning with verifiable reward (RLVR) has become a promising paradigm for post-training large language models (LLMs) to improve their reasoning capability. However, when the rollout accuracy is low on hard problems, the reward becomes…
Extract and Diffuse: Latent Integration for Improved Diffusion-based Speech and Vocal Enhancement
arXiv:2409.09642v2 Announce Type: replace-cross Abstract: Diffusion-based generative models have recently achieved remarkable results in speech and vocal enhancement due to their ability to model complex speech data distributions. While these models generalize well to unseen acoustic environments, they may not…
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
arXiv:2409.15520v3 Announce Type: replace Abstract: Large Language Models (LLMs) are currently pre-trained and fine-tuned on large cloud servers. The next frontier is LLM personalization, where a foundation model can be fine-tuned with user/task-specific data. Given the sensitive nature of such…