International Business Machines

How IBM Uses Resistive Memory Chips to Speed Up AI Training

A method for running AI neural networks directly on specialized hardware chips that store data as electrical resistance, making them faster and more energy-efficient than standard processors.

How to Fix Faulty Memory Cells in AI Chips

This patent describes a system that tests individual memory cells in AI chips for uneven behavior and then permanently disables the faulty ones before the chip starts learning, making AI training more efficient.

Computer Model Designs Proteins by Matching Structure to Sequence

IBM's 2025 patent describes a computer system that designs new protein sequences by first understanding a target 3D protein shape and then generating a sequence that would fold into that shape.

How a Single Electronic Component Can Learn and Process AI Data

This patent describes a tiny electronic component called a resistive processing unit (RPU) that acts like a brain cell in an artificial intelligence network, storing and processing information directly within its changing electrical resistance.

How a System Finds and Creates Machine Learning Models

This patent describes a system that helps users find existing machine learning models or algorithms for a specific task and, if needed, automatically trains a new model using a selected algorithm.

Attaching Flexible Circuits with Light Sensors to a Chip

This patent describes a method and device for attaching a bendable circuit, which includes light-sensing or light-emitting components, onto a main chip, allowing light to pass through a hole in the chip to reach the flexible part.