fresh bytes
Subscribe Now

Nobel Prize for Physics awarded to gravitational wave scientists

The 2017 winners of the Nobel Prize for Physics were announced today. One half of the prize will go to Ranier Weiss from MIT, while the other half is being awarded jointly to Barry C. Barish and Kip S. Thorne, both from Caltech. The three scientists worked on gravitational wave observation, collaborating between the Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo, its European counterpart. The prize was awarded “for decisive contributions to the LIGO detector and the observation of gravitational waves,” according to the Nobel Prize website.

Continue reading at Engadget

Image: NASA NASA / Reuters

Leave a Reply

featured blogs
Oct 23, 2020
Processing a component onto a PCB used to be fairly straightforward. Through hole products, a single or double row surface mount with a larger center-line rarely offer unique challenges obtaining a proper solder joint. However, as electronics continue to get smaller and conne...
Oct 23, 2020
[From the last episode: We noted that some inventions, like in-memory compute, aren'€™t intuitive, being driven instead by the math.] We have one more addition to add to our in-memory compute system. Remember that, when we use a regular memory, what goes in is an address '...
Oct 23, 2020
Any suggestions for a 4x4 keypad in which the keys aren'€™t wobbly and you don'€™t have to strike a key dead center for it to make contact?...
Oct 23, 2020
At 11:10am Korean time this morning, Cadence's Elias Fallon delivered one of the keynotes at ISOCC (International System On Chip Conference). It was titled EDA and Machine Learning: The Next Leap... [[ Click on the title to access the full blog on the Cadence Community ...

featured video

Demo: Low-Power Machine Learning Inference with DesignWare ARC EM9D Processor IP

Sponsored by Synopsys

Applications that require sensing on a continuous basis are always on and often battery operated. In this video, the low-power ARC EM9D Processors run a handwriting character recognition neural network graph to infer the letter that is written.

Click here for more information about DesignWare ARC EM9D / EM11D Processors

featured paper

An engineer’s guide to autonomous and collaborative industrial robots

Sponsored by Texas Instruments

As robots are becoming more commonplace in factories, it is important that they become more intelligent, autonomous, safer and efficient. All of this is enabled with precise motor control, advanced sensing technologies and processing at the edge, all with robust real-time communication. In our e-book, an engineer’s guide to industrial robots, we take an in-depth look at the key technologies used in various robotic applications.

Click here to download the e-book

Featured Chalk Talk

Rail Data Connectivity

Sponsored by Mouser Electronics and TE Connectivity

The rail industry is undergoing a technological revolution right now, and Ethernet connectivity is at the heart of it. But, finding the right interconnect solutions for high-reliability applications such as rail isn’t easy. In this episode of Chalk Talk, Amelia Dalton chats with Egbert Stellinga from TE Connectivity about TE’s portfolio of interconnect solutions for rail and other reliability-critical applications.

Click here for more information about TE Connectivity EN50155 Managed Ethernet Switches