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23 min read 2022-07-02 22:00:00

The First Million-Transistor Chip: the Engineers’ Story

In San Francisco on Feb. 27, 1989, Intel Corp., Santa Clara, Calif., startled the world of high technology by presenting the first ever

2 min read 2022-07-01 23:00:00

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar

4 min read 2022-07-01 01:00:01

More than 150 public libraries throughout the central United States now lend out activity kits that let children explore just about any aspect of

5 min read 2022-07-01 00:29:11

According to the best measures we’ve got, a set of benchmarks called MLPerf, machine-learning systems can be trained nearly twice as quickly as

6 min read 2022-06-30 04:21:19

Meta’s chief AI scientist, Yann LeCun, doesn’t lose sight of his far-off goal, even when talking about concrete steps in the here and now. “We

6 min read 2022-06-30 04:21:19

Meta’s chief AI scientist, Yann LeCun, doesn’t lose sight of his far-off goal, even when talking about concrete steps in the here and now. “We

9 min read 2022-06-30 02:00:00

Enormous efforts have been made in the past two decades to create a car that can use sensors and artificial intelligence to model its environment

6 min read 2022-06-29 22:00:00

On 18 September 1969, U.S. President Richard Nixon addressed the General Assembly of the United Nations. It was a difficult time in global politics,

2 min read 2022-06-28 22:00:01

The rising number of components on a microchip is the go-to example of roaring innovation. Intel’s first microprocessor, the 4004, released in

10 min read 2022-06-27 17:00:01

Hundreds of charging stations for electric vehicles dot Utrecht’s urban landscape in the Netherlands like little electric mushrooms. Unlike those

3 min read 2022-06-27 00:01:00

Machine-learning models are growing exponentially larger. At the same time, they require exponentially more energy to train, so that they can

3 min read 2022-06-27 00:01:00

Machine-learning models are growing exponentially larger. At the same time, they require exponentially more energy to train, so that they can

3 min read 2022-06-27 00:01:00

Machine-learning models are growing exponentially larger. At the same time, they require exponentially more energy to train, so that they can

13 min read 2022-06-26 22:00:00

Dates chiseled into an ancient tombstone have more in common with the data in your phone or laptop than you may realize. They both involve

2 min read 2022-06-25 22:02:00

Garbage is a global problem that each of us contributes to. Since the 1970s, we've all been told we can help fix that problem by assiduously