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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

RESEARCH · Mastodon — sigmoid.social English(EN) · 4d · [2 sources]

Researchers at Berkeley Lab created MatterChat to help AI read atomic data. This is a big step forward compared to old AI models that only read text. # matterch

Researchers at Berkeley Lab have developed MatterChat, an AI tool designed to interpret atomic data. This advancement allows AI to analyze three-dimensional physical information, which is a significant improvement over previous text-based AI models. The tool aims to accelerate the process of material discovery by enabling AI to understand atomic structures. AI

IMPACT Accelerates material discovery by enabling AI to analyze complex atomic structures.
- Berkeley Lab
- MatterChat
COMMENTARY · Forbes — Innovation English(EN) · 6d · [2 sources]

Behind Vertical AI: What AI Is Already Demanding Of Energy And Utilities

The increasing demand for AI, particularly from data centers, is placing significant strain on energy grids and utilities. This surge in electricity consumption, projected to more than double in the U.S. by 2028, necessitates substantial infrastructure investment. To address these challenges, the energy sector is exploring vertical AI solutions tailored to specific industry needs, aiming to optimize grid resilience, operational efficiency, and customer service. AI

IMPACT AI's escalating energy consumption is forcing utilities to invest heavily in infrastructure and explore specialized AI solutions for grid management.