Browsing: AI & Automation

The 2026 midterm elections have introduced a layer of uncertainty for artificial intelligence (AI) investors. With Democrats winning control of both chambers of Congress, lawmakers are preparing to introduce legislation addressing AI safety, electricity costs, and the expansion of data centers across the United States.

Over the past year, as we built Amazon Quick, our agents went from answering questions to taking actions: scheduling meetings, running research, generating reports. As the system evolved, one problem kept resurfacing: there was no shared definition of the primitives that agentic work is built from. The same few ideas kept getting rebuilt under different…

Redaction summary: As part of this assessment, Anthropic had rights to redact any non-public information in this post. Per our approach to transparency, we had the right to disclose if Anthropic exercised redaction rights, and whether or not any of our findings depended significantly on redacted information. While we were able to freely share our…

Organizations building applications powered by artificial intelligence (AI) face a recurring challenge: giving large language model (LLM) agents access to enterprise data lakes without duplicating integration logic across every agent and application. Most teams begin by wiring agents directly to databases and APIs, with no shared gateway such as a Model Context Protocol (MCP) server…

Wall Street appears to have found a silver lining following the Democrats’ sweeping victories in the 2026 midterm elections. With Democrats gaining control of both chambers of Congress, investors are considering whether more regulation could slow the construction of artificial intelligence (AI) data centers across the United States.

Fox news digital visits At the ADIPEC energy conference in Abu Dhabi, where OpenAI CEO Sam Altman joined UAE officials to unveil a major partnership aimed at transforming the energy industry.

Time series analysis has one of the most fragmented library ecosystems in Python. Depending on whether you need statistical forecasting, machine learning pipelines, deep learning models, or anomaly detection, you’ll reach for different tools — each with its own API, data format expectations, and assumptions about your problem.

According to the latest IndexBox report on the global Artificial Intelligence AI Camera market, the market enters 2026 with broader demand fundamentals, more disciplined procurement behavior, and a more regionally diversified supply architecture.

A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation. David L. Chandler|Department of Chemical Engineering Publication Date: November 6, 2026

Nov 6 (Reuters) – The US Department of Agriculture will use an artificial intelligence tool it built to check data in next week’s monthly crop production report, agency officials said, after a series of data missteps eroded farmers’ and ‌traders’ trust in its forecasts