Multiple Instance Learning for Content Feedback Localization Without Annotation

USPTO published patent application US20260093986A1 for a method predicting annotation spans without labeled annotation data, treating Automated Essay Scoring (AES) as a Multiple Instance Learning (MIL) task. The invention enables models to predict content scores and localize content using sentence-level predictions without annotation training data. Inventors include Scott HELLMAN, Peter W. FOLTZ, Lee BECKER, and William R. MURRAY.

Training Transformers Using Sliceout Dropout

The USPTO published patent application US20260093985A1 filed by Cohere Inc., covering a system and method for training transformer neural networks using 'Sliceout' dropout operations. The method slices contiguous memory segments of weight matrices instead of randomly dropping weights, preserving regularization while reducing computational overhead and memory requirements. Application No. 19412214 was filed December 8, 2025.

ML Model Characterizes Solid-State Detectors and Reduces Defect Levels

USPTO published patent application US20260093984A1 by Srutarshi Banerjee et al. describing a physics-based neural network model that learns trapping, detrapping, and charge transport properties in solid-state detectors on a voxel-by-voxel basis. The invention reduces experimental data requirements by using electrode signals or free charge data alone to train the model, with regularization techniques to handle reduced training data.

Embedded Neural Network System and Information Processing Method

USPTO published patent application US20260093983A1 for an embedded neural network system. The application, filed November 12, 2025 (No. 19386261), covers an information processing system with an embedded information acquisition unit and a generation unit that embeds information into neural network elements. Inventors: Yuko ISHIWAKA, Kazuto SUDA, Minoru OWADA.

Efficient Decoding of Output Sequences Using Parameter Sharing

USPTO published patent application US20260093982A1 for methods and systems enabling efficient decoding of output sequences using parameter sharing in machine learning tasks. The application, filed by six inventors including Adam Joshua Fisch and Tal Schuster, covers techniques for generating output sequences by processing embeddings through layer blocks until termination criteria are met.

Accenture patent enhances LLM performance via data curation

Accenture patent enhances LLM performance via data curation

Laser Energy Control System with Interworking Control Scheme

USPTO published patent application US20260090917A1 for a laser energy control system invented by David Jung. The system includes a controller configured to communicate with a laser system using an interworking control scheme and receive inputs from an input device for laser control. The application was filed September 16, 2025, and published April 2, 2026.

Treatment apparatus and method for ophthalmological laser refractive index change control data

USPTO published patent application US20260090916A1 for a treatment apparatus and method providing control data for an ophthalmological laser to generate laser-induced refractive index changes. The invention involves determining irradiation positions using first and second laser pulse lengths, with the first being shorter than the second, and providing control data including adjusted pulse lengths for preset irradiation positions.

Ophthalmic Laser Treatment Apparatus

USPTO published patent application US20260090915A1 for an ophthalmic laser treatment apparatus developed by four inventors from Japan. The invention features a laser irradiation optical system combined with an observation system that includes an internal display unit allowing operators to view images through an eyepiece lens. Application No. 19339333 was filed September 25, 2025.

Adjustable Shunts with Improved Flow Control

The USPTO published patent application US20260090914A1 for adjustable shunting systems with improved flow control, filed by inventors David Batten and Tessa Bronez. The application (No. 19120217) was filed November 1, 2023 and published April 2, 2026. The technology involves apertures in flexible membranes that flex into wells or empty spaces to improve sealing.