Toggle light / dark theme

The Automotive in the Software-Driven Era community, part of the DRIVE-A initiative, has identified six key actions crucial for unlocking the full potential of smart road transport infrastructure and, with that, for reaping the potential benefits of the software-defined-vehicle ecosystem. These six actions are based on three principles, collaboration, innovation and efficiency:

Advancing smart infrastructure requires a collaborative effort among involved players. Figure 2, below, provides a collaboration framework and key collaborative areas. Public-private partnerships help build a robust, cohesive and inclusive smart infrastructure network.

Paul Farrell, EVP and Chief Strategy Officer of BorgWarner highlights some of the challenges and importance of such collaborations: “Collaboration around the infrastructure is very complex and multidisciplinary. It involves questions about who owns the data, who supplies the hardware, who installs it and who integrates it into holistic solutions. Yet, it is key to, for example, advance the EV charging infrastructure that the transition to electrification requires.”

China released the world’s first set of high-precision geological maps of the moon drawn by China’s scientific research team on Sunday, mainly based on scientific exploration data from the Chang’e Project.

The highest precision geological atlas of the whole moon, with a scale of 1:2.5 million, can visualize the craters on the lunar surface, rocks and minerals found on the satellite of the Earth, and what kind of geological activity the moon has experienced.

As the internationally used geological maps of the moon obtained by the Apollo program of the US cannot reflect the latest research results of mankind in recent decades, they are no longer able to meet the needs of future scientific research and lunar exploration, according to the Chinese Academy of Sciences (CAS).

Do you have a big nose you despise? Or pointy features you find annoying?

Well, blame your mother and her late night pregnancy cravings for chocolate ice cream dusted with Flaming Hot Cheetos.

A new study in Nature Communications suggests that your mother’s diet during pregnancy is a significant factor in how your facial features are shaped due to a complex dance between gene expression and how much protein she ate while you were a fetus swimming inside her tummy — putting a new spin on the phrase “you are what you eat.”

To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch has been publishing a series of interviews focused on remarkable women who’ve contributed to the AI revolution. We’re publishing these pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized. Read more profiles here.

In the spotlight today: Anna Korhonen is a professor of natural language processing (NLP) at the University of Cambridge. She’s also a senior research fellow at Churchill College, a fellow at the Association for Computational Linguistics, and a fellow at the European Laboratory for Learning and Intelligent Systems.

Korhonen previously served as a fellow at the Alan Turing Institute and she has a PhD in computer science and master’s degrees in both computer science and linguistics. She researches NLP and how to develop, adapt and apply computational techniques to meet the needs of AI. She has a particular interest in responsible and “human-centric” NLP that — in her own words — “draws on the understanding of human cognitive, social and creative intelligence.”