RSS feed source: US Energy Information Administration

In-depth analysis

April 3, 2025

Data source: U.S. Energy Information Administration, Short-Term Energy Outlook (STEO), March 2025
Note: Earlier scenario assumes start-up dates two-to-five months earlier than announced by project developers; Later scenario assumes start-up dates six months later than announced by project developers.

U.S. exports of liquefied natural gas (LNG) represent the largest source of natural gas demand growth in our March 2025 Short-Term Energy Outlook (STEO), with LNG gross exports expected to increase by 19% to 14.2 billion cubic feet per day (Bcf/d) in 2025 and by 15% to 16.4 Bcf/d in 2026. The start-up timing of two new LNG export facilities—Plaquemines LNG Phase 2 (consisting of 18 midscale trains) and Golden Pass LNG—could significantly affect our forecast because these facilities represent 19% of incremental U.S. LNG export capacity in 2025–26.

To illustrate the

Click this link to continue reading the article on the source website.

RSS feed source: US Energy Information Administration

When we move, it’s harder for existing wearable devices to accurately track our heart activity. But researchers found that a starfish’s five-arm shape helps solve this problem. Inspired by how a starfish flips itself over — shrinking one of its arms and using the others in a coordinated motion to right itself — scientists have created a starfish-shaped wearable device that tracks heart health in real time.

Click this link to continue reading the article on the source website.

RSS feed source: US Energy Information Administration

Rumors of the ongoing death of software development — that it’s being slain by AI — are greatly exaggerated. In reality, software development is at a fork in the road: embracing the (currently) far-off notion of fully automated software development or acknowledging the work of a software developer is much more than just writing lines of code.

The decision the industry makes could have significant long-term consequences. Increasing complacency around AI-generated code and a shift to what has been termed “vibe coding” — where code is generated through natural language prompts until the results seem to work — will lead to code that’s more error-strewn, more expensive to run and harder to change in the future. And, if the devaluation of software development skills continues, we may even lack a workforce with the skills and knowledge to fix things down the line. 

This

Click this link to continue reading the article on the source website.