AI

@dataclass class MemoryItem: memory_id: int topic: str entity: str slot: str value: str text: str def build_memory_bank() -> List[MemoryItem]: entities = [ { “entity”: “Astra”, “topic”: “robotics”, “facts”: { “battery”: “18 hours”, “sensor”: “LiDAR”, “country”: “Japan”, “release_year”: “2023”, “specialty”: “warehouse navigation”, }, }, { “entity”: “Orion”, “topic”: “astronomy”, “facts”: { “telescope”: “infrared array”, “country”: “Chile”, … Read more

Microsoft’s fortuitous entry into the OpenAI technology circle has been largely discounted. It is not a divorce or a complete separation. More like that, the most important artificial intelligence partnership is now getting stronger with other clouds. In the field of technology, that’s a big deal. For years, Microsoft’s initial investment in OpenAI helped make … Read more

If you’ve ever watched a motion capture system struggle with human fingers, or seen a segmentation model fail to distinguish between teeth and gums, you’ll understand why it’s hard to see human-centered computing. People aren’t just objects, they come with clear structure, fine details, and great variation in posture, clothing, lighting, and ethnicity. Finding a … Read more

LoRA is widely used to fine-tune large models because it is efficient, but it tacitly assumes that all model updates are the same. In fact, they are not. If you’re singing a style well (like tone, form, or persona), changes are simple and focused on a few dimensions – which LoRA handles well with low-level … Read more

Retrieval is where most RAG systems quietly break down. Native pipelines rely on vector matching—embedding queries and document fragments in the same location and retrieving the same “closest” match. But uniformity is a poor proxy for what we really need: compatibility based on reasoning. In longer, professional documents—such as financial reports, research papers, or legal … Read more

Building an AI agent for voice production is one of the most difficult engineering challenges in machine learning in use today. It’s not just about the accuracy of the transcription. You need a system that can capture the context of an entire five-minute conversation, request external APIs during the call without pausing, recover properly when … Read more

import numpy as np import matplotlib.pyplot as plt fig, axes = plt.subplots(1, 2, figsize=(14, 4.5)) tk, mk = zip(*mem_kvc); tb, mb = zip(*mem_base) axes[0].plot(tk, mk, label=”with kvcached”, linewidth=2, color=”#1f77b4″) axes[0].plot(tb, mb, label=”baseline (static)”, linewidth=2, linestyle=”–“, color=”#d62728″) axes[0].axhline(idle_kvc, color=”#1f77b4″, alpha=.3, linestyle=”:”) axes[0].axhline(idle_base, color=”#d62728″, alpha=.3, linestyle=”:”) axes[0].set_xlabel(“time (s)”); axes[0].set_ylabel(“GPU memory used (MB)”) axes[0].set_title(“VRAM under a bursty workloadn(dotted … Read more

For years, the computer vision community has worked on two different tracks: generative models (which generate images) and discriminative models (which understand them). The guesswork was straightforward – good models for it to do the pictures are not really good reading see. A new paper from Google, titled “Photographers are students of Generalist Vision” (arXiv:2604.20329), … Read more

In 2026, AI-powered coding tools began to revolutionize software development, and Cursor v3 emerged as a leading example. Unlike traditional development environments, Cursor v3 provides a new way for developers to interact with their code by using AI agents that assist in coding tasks. Ccursor v3 goes beyond the basic auto-completion offered by most IDEs … Read more

There is a silent failure mode that sits at the heart of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify the function. The agent does it confidently, cleanly, and incorrectly – because it didn’t know that 47 other functions depend on the return type it just changed. Breaking ship changes. … Read more