AI, MCP, and the Hidden Costs of Data Hoarding
The Model Context Protocol (MCP) is genuinely useful. It gives people who develop AI tools…
Category: Machine Learning
Transformer vs LSTM for Time Series: Which Works Better?
From daily weather measurements or traffic sensor readings to stock prices, time series data are…
Deep-learning model predicts how fruit flies form, cell by cell
The approach could apply to more complex tissues and organs, helping researchers to identify early…
How LLMs Choose Their Words: A Practical Walk-Through of Logits, Softmax and Sampling
This article is divided into four parts; they are: • How Logits Become Probabilities •…
Sharp Monocular View Synthesis in Less Than a Second
We present SHARP, an approach to photorealistic view synthesis from a single image. Given a…
Enabling small language models to solve complex reasoning tasks
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like…
Bringing state-of-the-art Gemini translation capabilities to Google Translate
We’re bringing Gemini’s state-of-the-art translation model to Google Translate for text, and more new features.
You can now have more fluid and expressive conversations when you go Live with Search.
When you go Live with Search, you can have a back-and-forth voice conversation in AI…
3 Feature Engineering Techniques for Unstructured Text Data
Machine learning models possess a fundamental limitation that often frustrates newcomers to natural language processing…
Building Applications with AI Agents
Following the publication of his new book, Building Applications with AI Agents, I chatted with…