Pentagon’s ‘Attempt to Cripple’ Anthropic Is Troubling, Judge Says
During a hearing Tuesday, a district court judge questioned the Department of Defense’s motivations for labeling the Claude AI developer a supply-chain risk.
Study finds AI privacy leaks hinge on a few high-impact neural network weights
Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop a technique that better balances performance and privacy protection in these models.
Beyond the Vector Store: Building the Full Data Layer for AI Applications
If you look at the architecture diagram of almost any AI startup today, you will see a large language model (LLM) connected to a vector store.
7 Steps to Mastering Memory in Agentic AI Systems
Memory is one of the most overlooked parts of agentic system design.
Why Agents Fail: The Role of Seed Values and Temperature in Agentic Loops
In the modern AI landscape, an agent loop is a cyclic, repeatable, and continuous process whereby an entity called an AI agent — with a certain degree of autonomy — works toward a goal.
7 Readability Features for Your Next Machine Learning Model
Unlike fully structured tabular data, preparing text data for machine learning models typically entails tasks like tokenization, embeddings, or sentiment analysis.
5 Production Scaling Challenges for Agentic AI in 2026
Everyone’s
Identifying Interactions at Scale for LLMs
Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward safer and more trustworthy AI. To gain a comprehensive understanding, we can analyze these systems …
Information-Driven Design of Imaging Systems
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through algorithms before …
AI-powered robot learns how to harvest tomatoes more efficiently
A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest and adjusts its approach accordingly. This smarter strategy boosted success rates to 81%, with the robot even switching angles when needed. The breakthrough could pave the way for …
Read more “AI-powered robot learns how to harvest tomatoes more efficiently”