Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

SQLite has its place, but it’s not fit for every occasion. Learn how to set up install-free versions of MariaDB, PostgreSQL MongoDB, and Redis for your development needs.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

This is an instance-based self-adaptive scale fusion implementation built on PyTorch. In ./model/adaptiveScaleFusion.py, hybrid weights are assigned across two instance scales, and the method has been ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

When things seem too good to be true on Wall Street, they typically are. Over multidecade periods, history has consistently shown that stocks are the premier wealth creator. While other asset classes, ...

Abstract: Multiple instance learning (MIL) is a flexible learning framework where data is organized into sets of instances, called bags, with a single label assigned to the entire bag instead of ...