This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

QR codes are widely used in entry and exit systems for various events to monitor the number of participants and ensure that only authorized individuals gain access. However, these systems, along with ...

Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, ...

We all use LLMs daily. Most of us use them at work. Many of us use them heavily. People in tech — yes, you — use LLMs at twice the rate of the general population. Many of us spend more than a full day ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ryan Knutson: Do you guys want to start out by introducing yourselves? Ben Cohen: ...

Cowork can also use the data in that folder to create new projects -- but it's still in early access, so be cautious. Imad was a senior reporter covering Google and internet culture. Hailing from ...

Recently, [Edward Schmitz] wrote in to let us know about his Hackaday.io project: SigCore UC: An Open-Source Universal I/O Controller With Relays, Analog I/O, and Modbus for the Raspberry Pi. In the ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

Amazon Web Services has announced a new class of AI systems," frontier agents," that can work autonomously for hours, even days, without human intervention, representing one of the most ambitious ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...