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Want to get a data center online quickly? Give it some flex.

MIT Technology Review

Want to get a data center online quickly? As the data-center boom puts pressure on the grid, some companies say the answer isn't just more power plants but software that dials down centers' energy-guzzling ways when demand spikes. At the end of a tense and scoreless first half of a soccer match between the English men's team and rival Germany, millions of Brits let out a collective sigh and did what they so often do in moments of stress: They made tea. That wave of electric kettles clicking on, however, caused a different kind of stress: a huge and sudden increase in demand for electricity. But National Grid, which operates the local transmission network, was ready. Just as those kettles started heating up, an AI program sent instructions to a data center in London to slow down some of the facility's power-hungry chips. This reduction helped make sure there was enough supply to match demand, staving off potential blackouts or damage to electrical hardware.


A berry-sized thermometer measures body temp. But you have to eat it.

Popular Science

But you have to eat it. The sensor developed at MIT continuously monitors this vital sign from inside the body. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The silicon chip, the battery, and the antenna on this sensor are completely ingestible. Breakthroughs, discoveries, and DIY tips sent six days a week.


Decision-focused learning for optimal PV-Battery scheduling

arXiv.org Machine Learning

The use of residential photovoltaics has increased dramatically in recent years. With battery systems becoming more affordable, the optimal operation of a photovoltaic-battery system can bring significant savings to households. Optimal control requires correct forecasts of underlying parameters, such as photovoltaic power generation, to schedule the battery. While forecasting models have become increasingly accurate due to algorithmic advances and data availability, accuracy is typically measured in generic metrics which might not align with the downstream application. This study proposes a decision-focused learning framework that integrates optimization and prediction by training a Long Short-Term Memory photovoltaic energy forecaster on the downstream optimal scheduling of a battery system. The proposed methodology is compared against a standard two-phase approach. Across a 14-month evaluation period, the decision-focused method reduced average electricity costs across twenty buildings by 3.6% when normalized against performance bounds defined by a perfect forecast and a baseline of no optimization. Critically, this financial improvement was achieved despite the model exhibiting a root mean squared error of 19.9%, significantly higher than the decoupled model's 8.2%. Warm-starting the decision-focused model further improves results, lowering average cost by approximately 8%, while also mitigating the negative impact on statistical accuracy (root mean squared error of 13.7%). The findings are statistically significant at the 0.001 level across the twenty households and for each household individually. These results demonstrate that aligning forecast models with optimization goals is key for achieving cost advantages in PV-battery systems. Future research should replicate these findings on other datasets, alternate forecasting models and alternate optimization algorithms.


After Struggling With EVs, US Automakers Pivot to Energy

WIRED

Ford and GM are backing away from electric vehicles and moving into the battery storage business. And it all comes back to AI. Automakers make cars--it's in the name. But lately, politics, current events, and Wall Street's latest preoccupation, artificial intelligence, have them looking a lot more like energy companies. The pivot, analysts say, could give US auto manufacturers struggling through a transition to electric vehicles an easier path over the next few years. Whether it works will come down to the same technology that automakers once promised would power the majority of their lineups: batteries .


This dumb little battery trick tells you if it's really dead

PCWorld

When you purchase through links in our articles, we may earn a small commission. This dumb little battery trick tells you if it's really dead You can find out how full or empty a battery is with a simple test. When your remote control gives up the ghost or your kid's favorite toy stops working, you're often faced with the question: Did the batteries die or is the device defective? A dead-simple, wonderfully nifty test offers a quick and reliable way to check the actual charge state of a battery, keeping you from rashly discarding good batteries or buying new ones unnecessarily. How to check your laptop's battery health All you need for this test is the battery you want to check.


Who actually manufactures AmazonBasics batteries?

PCWorld

When you purchase through links in our articles, we may earn a small commission. Who actually manufactures AmazonBasics batteries? AmazonBasics batteries are so cheap, you might be skeptical of their quality and performance. When AmazonBasics launched back in 2009, batteries were among the initial line-up of products--and they're still one of the best, most classic impulse buys of this white-label brand. Mainly sold in packs ranging from 8 to 300 batteries at extremely affordable prices, they've become the go-to value battery brand for day-to-day needs.


Airline flight delayed for bizarre reason as humanoid robot triggers safety query

FOX News

After a humanoid robot named Bebop danced for a crowd in an airport, a Southwest Airlines flight was delayed because the robot's lithium battery exceeded the airline's size limits.


The 19 Most Exciting Cars at the Beijing Auto Show 2026

WIRED

The cars that debuted at the Beijing Auto Show demonstrate that the Chinese market is now at the forefront of electrification and intelligence. These are the 19 most intriguing models we saw. The newest concept car from Lynk & Co was revealed at the 2026 Beijing Auto Show. While major motor shows in Europe and the United States are being forced to downsize or change their format, those in China continue to expand. With 1,451 vehicles on display, including 181 world premieres, the 2026 Beijing International Automotive Exhibition 2026 (also known as Auto China 2026) has become the largest auto show in history--and that's in terms of both exhibition space and the number of vehicles on display. This fact itself reflects a shift in the center of gravity of the automotive industry, but that's not all. A much larger structural transformation is actually taking place in China today. Previously, the focus was on low-priced electric vehicle models, but now price is no longer the primary point of competition.


Will fusion power get cheap? Don't count on it.

MIT Technology Review

Will fusion power get cheap? New research suggests that cost declines could be slow for the technology. Fusion power could provide a steady, zero-emissions source of electricity in the future--if companies can get plants built and running. But a new study suggests that even if that future arrives, it might not come cheap. Technologies tend to get less expensive over time. Lithium-ion batteries are now about 90% cheaper than they were in 2013.


Aiper Scuba V3 Pool Robot Review: Eye on the Prize

WIRED

Now outfitted with AI computer vision, Aiper's new pool cleaner can actively search for debris. AI vision helps to power excellent cleaning. Charging stand makes topping up the battery easy. Only spends 10 minutes at the waterline after each run before sinking. Cleanup can be a bit of a bear.