Browsing: intelligence

One of the ways investors have taken advantage of opportunities related to artificial intelligence (AI) is to invest in energy companies that can also benefit from the boom related to next-gen technologies. Rather than investing in Nvidia or Palantir Technologies and more obvious AI stocks, many investors have turned to much smaller companies, with potentially…

— Mobile app builder introduces a specialized directory of more than 600 consumer apps across 19 categories to demystify mobile commerce data and architecture.

There’s a whole host of artificial intelligence (AI) stocks on the market right now, ranging from companies that are all-in on AI to those that are only loosely tied to it. There are also more notable names coming soon. Anthropic — the developer of the Claude large language model (LLM) and OpenAI — the developer…

One of the most talked-about themes in artificial intelligence (AI) right now is the memory supercycle. It is the entire reason why Sandisk (NASDAQ: SNDK) and Micron Technology (NASDAQ: MU) trade like they are glued together.

The National Nuclear Security Administration’s Advanced Simulation and Computing program releases strategy for deploying AI methods in high-security and high-consequence environments.

SoundHound AI(NASDAQ: SOUN) develops voice and conversational AI technology for businesses. The company’s shares have tanked nearly 71% from their $22.17 intraday high from October 2025 (closing price as of Sept. 9).

There is a temptation to divide the future of AI into two possibilities: utopia or catastrophe. Neither extreme is particularly helpful.

Artificial intelligence (AI) investing has been a top theme in the market since 2023, and that trend looks set to persist for at least the next few years. The reality is that AI innovation hasn’t stopped, and there are still countless use cases that haven’t been optimized. All of this requires more AI computing equipment,…

In its 15th Five-Year Plan (2026-2030), China has placed artificial intelligence at the centre of its industrial strategy, but with apparently clashing goals. China wants technological self-reliance and substantial safeguards around its domestic market, but also freely adaptable AI models1, international diffusion of Chinese AI models and greater cooperation in global AI governance2.

SAN FRANCISCO, CALIFORNIA – JUNE 1: Snowflake CEO Sridhar Ramaswamy (R) speaks with Anthropic President Daniela Amodei during the Snowflake Summit 26 at Moscone Center on June 1, 2026 in San Francisco, California. The Snowflake Summit is an annual conference focusing on data and artificial intelligence. (Photo by Minh Connors/