Machine Learning Systems Vulnerable to Specific Attacks

The growing number of organizations creating and deploying machine learning solutions raises concerns as to their intrinsic security, argues the NCC Group in a recent [whitepaper](Practical Attacks on Machine Learning Systems).

New Stanford Compute-In-Memory Chip Promises to Bring Efficient AI to Low-Power Devices

In a paper recently published in Nature, Stanford researchers presented a new compute-in-memory (CIM) chip using resistive random-access memory (RRAM) that promises to bring energy efficient AI capabilities to edge devices.

Stanford Researchers Present AI Framework to Implement and Validate Complex Algorithms

Parsel, an AI framework created by a group of researchers at Stanford, uses large language model (LLM) reasoning to transform hierarchical functions descriptions in natural language into an implementation in code. Additionally, the researchers maintain, Parsel can be used for robot planning and theorem proving.

Microsoft Wants to Use ChatGPT to Control Robots through Language

In a recent paper, researchers at Microsoft Autonomous Systems and Robotics Group showed how OpenAI’s ChatGPT can be used for robotics applications, including how to design prompts and how to direct ChatGPT to use specific robotic libraries to program the task at hand.

GitHub Enhanced Copilot with New AI Model and Security-Oriented Capabilities

GitHub Copilot adopted a new AI model which is both faster and more accurate than the previous one, says GitHub. Additionally, GitHub has started using AI to detect vulnerabilities in Copilot suggestion by blocking insecure coding patterns in real-time.