In 2020, I wrote about a meter-high robotic, smart fabric wrapped Plastic Dinosaur that gained consciousness to explore machine learning. A series of articles on the core concepts of machine learning and neural nets, as they existed then, each started with a brief story about Plastic Dinosaur as it learned … [continued]
UK autonomous driving startup Wayve just added about $1.5 billion to its investment stack as it works toward full autonomy.
This Year’s Startups Are Focused on Energy Efficiency and Reliability in Buildings Efficient buildings are the focus of this year’s Wells Fargo Innovation Incubator (IN2) cohort. The $55 million energy technology program—funded by Wells Fargo & Company and coadministered by NREL—welcomed three startups to its next cohort in the Emerging Tech … [continued]
When we write about machine learning and other artificial intelligence technologies here, it’s usually for cars. Tesla’s FSD Supervised Beta (or whatever it’s called these days) gets a lot of the attention, as do Waymo and other robotaxi providers. But, if we focus only on autonomous vehicles, we miss out … [continued]
Artificial intelligence is often criticized for its energy intensity, with large-scale models like GPT-4 consuming tens of gigawatt-hours during training. However, it’s important to place this within the broader context of energy consumption and AI use case trends. I published a couple of times on demand to provide context, and … [continued]
It’s been a decade since I first wrote about Tesla’s approach to autonomous driving, comparing it to Google’s (now Waymo’s). At the time, my technical assessment based on my experience with both AI and robotics was that Tesla’s approach was superior. It still is, but it might need to pivot. … [continued]
If you’ve driven a CCS or CHAdeMO vehicle much in the last few years, you’ve probably come across at least one problem. Getting stranded isn’t as common as the Tesla-shareholding naysayers claim, but it still sucks to come across dead stalls, finicky cables, and stations that make you plug and … [continued]
Data scientist Tianzhixi “Tim” Yin is among many scientists at PNNL working to increase confidence in artificial intelligence when it comes to electric grid operations.
(Photo by Andrea Starr | Pacific Northwest National Laboratory)
PNNL researchers point toward a smart grid that includes machine learning and artificial intelligence inputs, but with human expertise in the loop When we flip the light switch in our homes, we have come to expect instant access to electricity. Behind the scenes, that reliability depends on utility operators who … [continued]
Clean technology startup Ndustrial will enhance ABB’s digital and sustainability portfolios with energy optimization solutions that take into account complete production processes Investment complements ABB’s service offering with AI-powered predictive energy management solutions that reduce energy and carbon intensity and enable more sustainable operations Together with recent investment in GridBeyond, … [continued]
Scientists are always on the lookout for ways to make our world a better place, and one area they’re focusing on is solar energy. One idea in this area is to make solar cells more efficient by concentrating more solar light onto them. While investigating this recently, a group of … [continued]
