Google Applies NLP Algorithm BERT to Search
BERT, Google’s latest NLP algorithm, will power Google search and make it better at understanding user queries in a way more similar to how humans would understand them, writes Pandu Nayak, Google fellow and vice president for Search, with one in 10 queries providing a different set of results.
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.