While point cloud foundation models have significantly advanced point cloud video understanding, existing parameter-efficient fine-tuning (PEFT) methods still suffer from two critical limitations: prohibitive annotation costs for large-scale point cloud datasets and severe memory bottlenecks. In this paper, we aim to mine richer supervision signals from existing data rather than blindly scaling datasets. A further key principle is that the memor... Read more ›
The Trump administration has called for a probe into transgender healthcare, leading it to subpoena medical records. Read more ›
From virtual reality headsets to motion capture tech, the OASIIS Lab is taking rehabilitation into the future. The post appeared first on . Read more ›
Learn about Distributed Training in TensorFlow. Explore the basics of parallel computing and distributed strategies for training… Read more ›
Explore Django Tasks, the new built-in framework in Django 6.0, and run background jobs with @task, named queues, and a lightweight alternative to Celery. Read more ›
Free and open source software developers us AI coding assistants such as Claude Code, Copilot CLI, Antigravity, and OpenCode in their daily work. The Software Freedom Conservancy responded to that trend with a set of recommendations for contributors who use these tools, which it groups under the label LLM-gen-AI, meaning generative AI systems backed by LLMs. Best practices, ordered by priority The document contains 14 recommendations presented in the authors’ order of importance. The Conserva... Read more ›
Parameter-efficient fine-tuning (PEFT) has become a practical solution for adapting large pretrained vision transformers (ViTs) to downstream tasks while updating only a small subset of parameters. However, existing adapter-based methods perform adaptation independently for each token, implicitly assuming that token refinements should be learned in isolation. This token-wise formulation overlooks the structured relationships among tokens that ... Read more ›
Outside put together a list of runs that celebrate the LGBTQIA+ community. Show your support by attending one of these Pride Month runs. The post appeared first on . Read more ›
The Meta Quest 3S is on sale for $296.79 at Amazon, down from $349.99. That’s a $53.2 discount on a wireless VR headset bundle that includes access to over 100 games. Read more ›
I spent Months trying to understand neural networks and Transformer architectures. But when I tried to build even a simple real-world ML… Read more ›
🔄 sync your github commits to google calendar. Contribute to lucasvtiradentes/gcal-sync development by creating an account on GitHub. Read more ›
We are happy to announce the release of mssql-django 1.7.3. This release improves SQL Server connection compatibility for modern authentication scenarios and fixes a subclassing edge case in backend server-property caching. Highlights 1) Authentication parsing and connection string handling improvements We fixed how extra_params authentication settings are interpreted and now parse ODBC-style key/value segments more robustly. What changed: Authentication mode is parsed from extra_params using... Read more ›
On June 6, at the ZU Gallery, under the flash of multicolored lights and casual conversation, owner Jodi Jahrling hosted a Pride Month dance party, inviting both members of the LGBTQ community and all... Read more ›
Navigating the vast space of synthetically accessible molecules demands surrogate models that are interpretable and capable of handling multiple competing objectives at the same time. Deep learning approaches struggle to satisfy them under the computational constraints of quantum-level chemistry. Here, we introduce a modular pipeline that combines interpretable linear meta-learning models and adaptive-confidence uncertainty quantification into... Read more ›
Looking for real virtual reality discounts? Here are the best Prime Day VR deals on headsets and accessories. Read more ›
In this article, we propose a new deep learning approach to approximate operators related to parametric partial differential equations (PDEs). In particular, we introduce a new strategy to design specific artificial neural network (ANN) architectures in conjunction with specific ANN initialization schemes which are tailor-made for the particular approximation problem under consideration. In the proposed approach, we combine efficient classical numerical approximation techniques with deep oper... Read more ›
Open-source, privacy-first, AI-native browser on Ungoogled Chromium. No telemetry, no ads, no sponsored tabs. Bring your own AI keys. Read more ›
We had AI translate a pandas corpus to Polars. Most one-shot translations ran and the outputs matched. The code was idiomatic in most cases. Two structural patterns remain, and our new skill improves the model's Polars capability. Read more ›
After years of growing corporate support for Pride and LGBTQ+ initiatives, many companies and LGBTQ+ organizations are navigating a new period of uncertainty. Recently, many big corporations have been pulling back their support for Pride events and LGBTQ+ programming, leaving funding gaps for LGBTQ+ organizations. Instead of walking away from these connections, nonprofit Point of […] The post appeared first on . Read more ›
Pre-trained language models struggle when applied to new domains, as full fine-tuning is computationally expensive and prone to catastrophic forgetting. This study addresses this challenge by presenting a novel parameter-efficient strategy for unsupervised domain adaptation that combines custom PEFT architectures with mixed-objective training. Our approach simultaneously optimizes classification performance on labeled source domain data and ma... Read more ›