Clover Security, whose AI agents plug into developer platforms like GitHub to predict and detect security flaws, raised $36M led by Notable Capital and Team8 (Sam Sabin/Axios)

A new framework named GaINeR: Geometry-Aware Implicit Network Representation has been proposed to enhance Implicit Neural Representations (INRs) for 2D images. This model integrates trainable Gaussian distributions with a neural network to improve the representation of images, allowing for better detail capture and local editing capabilities.

The recent introduction of AnchorOPT marks a significant advancement in prompt learning methodologies, particularly for CLIP models. This framework enhances the adaptability of anchor tokens by allowing them to learn dynamically from task-specific data and optimizing their positional relationships with soft tokens based on the training context.

A novel framework for antinuclear antibody (ANA) detection has been proposed, addressing the complexities of multi-instance, multi-label learning using unaltered microscope images. This method aims to automate the slow and labor-intensive process of ANA testing, which is vital for diagnosing autoimmune disorders such as lupus and Sjögren's syndrome.

A new method called Deep Parameter Interpolation (DPI) has been proposed to enhance deep neural networks by allowing them to accept an additional scalar input. This approach addresses the challenges faced in integrating high-dimensional vector data, such as images, with scalar inputs, by maintaining two learnable parameter sets within a single network and dynamically interpolating between them based on the scalar input.

The introduction of ProtoPFormer, a novel approach that integrates prototypical part networks with vision transformers, aims to enhance interpretable image recognition by addressing the distraction problem where prototypes are overly activated by background elements. This development seeks to improve the focus on relevant features in images, thereby enhancing the model's interpretability.

A new method called DWFF-Net has been developed to identify multi-scale farmland system habitats using an adaptive dynamic weight strategy. This approach addresses the shortcomings of existing habitat classification systems by providing a comprehensive dataset of ultra-high-resolution remote sensing images that categorize cultivated land into 15 distinct habitat types.

The House Homeland Security Committee has requested Dario Amodei, CEO of Anthropic, to testify at a hearing scheduled for December 17. The focus of the hearing will be on the use of Claude Code by Chinese state actors for cyber-espionage activities, highlighting concerns over national security and technological vulnerabilities.

A new method called SpLap has been introduced for proxy-free deformation of Gaussian splats, utilizing a surface-aware splat graph to enhance the quality of deformations while minimizing computational overhead. This approach overcomes limitations of traditional methods that rely on proxies, which can be of varying quality and add complexity to the deformation process.