行业观察

When AI Meets Multi-Die (and Neither Lets Go)

I really wish I could have attended this year’s Chiplet Summit, which took place from February 17 to February 19, 2026. This auspicious event was held at the Santa Clara Convention Center in Californi

发布时间:2026-03-25来源:EEJournal
Three Companies, One Toolchain: The Rise of TASKING 3.0

I don’t like change. I know I’m starting to sound like an old codger, but that’s OK because I am an old codger (I know the secret handshake and I have the ceremonial undergarments T-Shirt to prove it)

发布时间:2026-03-11来源:EEJournal
When AI Comes Home to Roost: Meet the SYN765x Wi-Fi-7 AI-Native Connected MCU

I think most of us have come to appreciate how incredibly useful AI can be, and it’s getting more efficacious every day. The funny thing is that it’s becoming harder to remember a time before AI (much

发布时间:2026-03-16来源:EEJournal
Verification Engineers Are Poised to Become Verification Scientists

There are many ways to categorize engineers—to “slice and dice” them, if you will. I’m speaking figuratively, of course (we don’t want anyone to get any unfortunate ideas…especially since… the inciden

发布时间:2026-03-18来源:EEJournal
High-Performance Ultra-Low-Power AI MCUs Running at Only 0.3V (Eeek!)

When I was 10 years old, my parents decided I was old enough and responsible enough to catch the bus to school (silly parents). This was in England in the 1960s. We didn’t have dedicated school buses

发布时间:2026-03-30来源:EEJournal
FPGAs Beating GPUs at LLM Inference: Say What?!?

Once again, my world has been turned upside down. Until recently, I’ve been gasping in awe at the myriad “you won’t believe your eyes” numbers flaunted by proponents of the latest and greatest GPUs, l

发布时间:2026-03-23来源:EEJournal
Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression

At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice

发布时间:2026-03-08来源:MarkTechPost
How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows

In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress contr

发布时间:2026-03-08来源:MarkTechPost
A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality

发布时间:2026-03-09来源:MarkTechPost
Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries

Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap between competition-level math and professional research. While models achieved gold-medal standards at

发布时间:2026-03-13来源:MarkTechPost
Yann LeCun’s New AI Paper Argues AGI Is Misdefined and Introduces Superhuman Adaptable Intelligence (SAI) Instead

What if the AI industry is optimizing for a goal that cannot be clearly defined or reliably measured? That is the central argument of a new paper by Yann LeCun, and his team, which claims that Artific

发布时间:2026-03-08来源:MarkTechPost
NVIDIA AI Releases Nemotron-Terminal: A Systematic Data Engineering Pipeline for Scaling LLM Terminal Agents

The race to build autonomous AI agents has hit a massive bottleneck: data. While frontier models like Claude Code and Codex CLI have demonstrated impressive proficiency in terminal environments, the t

发布时间:2026-03-10来源:MarkTechPost
Andrej Karpathy Open-Sources ‘Autoresearch’: A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs

Andrej Karpathy released autoresearch, a minimalist Python tool designed to enable AI agents to autonomously conduct machine learning experiments. The project is a stripped-down version of the nanocha

发布时间:2026-03-09来源:MarkTechPost
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space

Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001 and is designed specifically to address the hig

发布时间:2026-03-11来源:MarkTechPost
The ‘Bayesian’ Upgrade: Why Google AI’s New Teaching Method is the Key to LLM Reasoning

Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A team of researchers fro

发布时间:2026-03-09来源:MarkTechPost