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Illustration: Dan Page
Illustration: Dan Page

photo of Mumbai\u2019s monsoon season gridlockFlooded Streets: Mumbai’s monsoon season gridlock might not be so bad with IoT devices watching—and redirecting—traffic.Photo: Shailesh Andrade/Reuters

The 20 million residents of Mumbai slog through monstrous traffic jams during monsoon season. The heavy rains that last from June until August frequently choke off the flow of traffic through India’s most populous city, leaving millions of Mumbaikars seething in their cars after a workday.

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New EV Prototype Leaves Range Anxiety in the Dust

Mercedes-Benz's Vision EQXX completed a record-breaking 747-mile run in May

5 min read
a silver car driving down the road with a mountain of switchbacks behind it

The Mercedes-Benz Vision EQXX

Mercedes-Benz

Not long ago, a 300-mile range seemed like a healthy target for electric cars. More recently, the 520-mile (837-kilometer) Lucid Air became the world’s longest-range EV. But that record may not stand for long.

The Mercedes-Benz Vision EQXX, and its showroom-bound tech, looks to banish range anxiety for good: In April, the sleek prototype sedan completed a 621-mile (1,000-kilometer) trek through the Alps from Mercedes’ Sindelfingen facility to the Côte d'Azur in Cassis, France with battery juice to spare. It built on that feat in late May, when the prototype covered a world-beating, bladder-busting 747 miles (1,202 kilometers) in a run from Germany to the Formula One circuit in Silverstone, U.K.

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Artificial Synapses 10,000x Faster Than Real Thing

New protonic programmable resistors may help speed learning in deep neural networks

3 min read
Conceptual illustration shows a brain shape made of circuits on a multilayered chip structure.
Ella Maru Studio and Murat Onen

New artificial versions of the neurons and synapses in the human brain are up to 1,000 times smaller than neurons and at least 10,000 times faster than biological synapses, a study now finds.

These new devices may help improve the speed at which the increasingly common and powerful artificial intelligence systems known as deep neural networks learn, researchers say.

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Keysight
Keysight

As 5G evolves into 6G networks, it will be critical that it adopt the most energy-efficient technologies to reduce carbon emissions and our dependence on non-renewable resources.

In terms of increased sustainability, 6G will need to aim directly at lessening its overall environmental impact, including water consumption, raw material sourcing, and waste handling. But it is also important to consider the indirect impact of 6G networks can have on sustainability by conserving resources and minimizing waste in either existing use-cases or novel use-cases.

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