Lifeboat Foundation

A cyclist who was paralysed in an accident is able to walk again, thanks to a breakthrough in neurosurgery and artificial intelligence in Switzerland.
Al Jazeera’s Andrew Simmons reports.

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Continue reading “Technology helps paralysed man to walk” »

W/ Dr. Joseph T. Lizier of U Sydney. Amalytic relationship of relative synchronizability to network structure & motifs.

Intel has been in the semiconductor chip manufacturing game for a while. Recently, it’s been looking to expand its foundries and production to the point where it could make cutting-edge chips for other companies, a territory we normally associate with TSMC and Samsung.

Currently, Intel is building and ramping up manufacturing in North America, Mexico, and Germany — and these foundries will be doing a lot more than simply creating chips for the latest generation of Core processors. Earlier this year, Intel and Arm announced a partnership to build mobile SoCs on Intel’s 18A process node, and we’ve even heard from the likes of NVIDIA stating that it’s open to working with Intel to produce its hardware.

All of this makes the recent statement from Darren Grasby, the executive vice president for strategic partnerships and president of AMD EMEA, a little shocking. His words were harsh when asked if Intel would succeed in its ambitious plans to build global foundries and develop and create chips for multiple companies. To say the least!

Continue reading “Asked if Intel can succeed in developing foundries and chips, AMD exec says, ‘Of course not’” »

Transcatheter repair

A transcatheter repair, also called transcatheter device closure, is usually recommended for an atrial septal defect. During this procedure, a pediatric interventional cardiologist makes an incision in the groin, inserts a catheter, and funnels a small mesh patch through the catheter and up to the hole in the heart. Over time, the child’s own heart tissue grows over the patch.

Learn more about atrial septal defect transcatheter repair for children.

Ross Perot Jr. described the STEM education event as a “first-of-its-kind” across the country. The event comes days before Pres. Bush, Gov. Abbott, several Republican presidential candidates and executives from Amazon, Microsoft, Walmart and more gather at mobility summit.

We know less about the strength of the strong force than of any of the other fundamental forces of nature, but researchers at CERN have now made the most precise measurement of it ever.

By Leah Crane

To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

As creative industries grapple with AI’s explosion into every artistic medium at once, separate calls from artists warning the world to take action before it’s too late are starting to converge. From fake Drake songs to stylized Instagram profile pictures, art conjured with newly sophisticated AI tools is suddenly ubiquitous — and so are conversations about how to rein in the technology before it does irrevocable harm to creative communities.

This week, digital rights organization Fight for the Future partnered with music industry labor group United Musicians and Allied Workers to launch #AIdayofaction, a campaign that calls on Congress to block corporations from obtaining copyrights on music and other art made with AI.

The idea is that by preventing industry behemoths like major record labels, for example, from copyrighting music made with the assistance of AI, those companies will be forced to keep looping humans into the creative process. But those same concerns — and the same potential strategies for pushing back against the onslaught of AI — exist across creative industries.

Generative AI, dominated by proprietary models locked inside big tech companies, is being disrupted by a new wave of open-source models.

Advocates argue open sourcing has vital benefits like enabling wider access, fostering innovation, and promoting transparency. Many people argue that open source will win in the marketplace.

But that conclusion is not obvious.

Continue reading “Generative AI Throwdown: Open Source Vs. Proprietary Models” »