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Category: robotics/AI – Page 819

Qualcomm Builds Momentum In AI Inference

Qualcomm extends its presence in AI inference processing, began with its Cloud AI 100 series accelerators, with the launch of its new Qualcomm Cloud AI 100 Ultra.

While Qualcomm’s Cloud AI 100 accelerator family has long been available from several tier-one technology providers such as Lenovo, Hewlett Packard Enterprise (HPE), Inventec, Foxconn, Gigabyte, and Asus, it’s starting to see deployment in the public cloud.

Amazon Web Services (AWS) recently introduced its first Qualcomm-based accelerated instance type, the DL2q, featuring the Qualcomm Cloud AI 100. While the new instance type can be used for general inference applications, the companies highlight the accelerator’s specific applicability in developing automotive ADAS and related applications – an area in which Qualcomm is rapidly expanding its presence.

Cyborg computer combining AI and human brain cells really works

A new biohybrid computer combining a “brain organoid” and a traditional AI was able to perform a speech recognition task with 78% accuracy — demonstrating the potential for human biology to one day boost our computing capabilities.

The background: The human brain is the most energy efficient “computer” on Earth — while a supercomputer needs 20 mega watts of power to process more than a quintillion calculations per second, your brain can do the equivalent with just 20 watts (a megawatt is 1 million watts).

This has given researchers the idea to try boosting computers by combining them with a three-dimensional clump of lab-grown human brain cells, known as a brain organoid.

Networks of silver nanowires seem to learn and remember, much like our brains

Though highly capable – far outperforming humans in big-data pattern recognition tasks in particular – current AI systems are not intelligent in the same way we are. AI systems aren’t structured like our brains and don’t learn the same way.

AI systems also use vast amounts of energy and resources for training (compared to our three-or-so meals a day). Their ability to adapt and function in dynamic, hard-to-predict and noisy environments is poor in comparison to ours, and they lack human-like memory capabilities.

Our research explores non-biological systems that are more like human brains. In a new study published in Science Advances, we found self-organising networks of tiny silver wires appear to learn and remember in much the same way as the thinking hardware in our heads.

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