Really interesting interview from the FT about Qualcomm view of edge computing and how AI will develop mobile devices. CES in Las Vegas this week will have many edge devices being revealed. Will Brainchip finally demo a winning device with its edge box or have the likes of Qualcomm already achieved the same degree of neural computing through a different processor?

Edge computing (running AI on the device) definitely has benefits as outlined in the article not least of which is saving energy in the reduction of the massive amount of cloud compute being used currently. Also the ability to refine everything to work better by having your personalised agent on your device ( phone, car, fridge, toilet with anus cam!?)

Cristiano Amon: generative AI is ‘evolving very, very fast’ into mobile devices

Really interesting interview from the FT about Qualcomm view of edge computing and how AI will develop mobile devices. CES in Las Vegas this week will have many edge devices being revealed. Will Brainchip finally demo a winning device with its edge box or have the likes of Qualcomm already achieved the same degree of neural computing through a different processor?

Edge computing (running AI on the device) definitely has benefits as outlined in the article not least of which is saving energy in the reduction of the massive amount of cloud compute being used currently. Also the ability to refine everything to work better by having your personalised agent on your device ( phone, car, fridge, toilet with anus cam!?)

Cristiano Amon: generative AI is ‘evolving very, very fast’ into mobile devices

Sometimes AI can get fairly weird - this is from Marcus Padley's EOD email this afternoon:

• AI Testers have discovered an “alternative personality” within the Bing chatbot called 'Sydney'. The jounalist testing had a very scary chat to 'Sydney', 'Sydney' later tried to convince him that he should leave his wife for Bing. The tester said that he didn't trust 'Sydney' and this is the reply he got:

• Never going to have that conversation with AGL!

--- ends ---

Further Reading:

https://www.theverge.com/23599441/microsoft-bing-ai-sydney-secret-rules

https://mindmatters.ai/2023/02/love-at-first-click-a-creepy-conversation-with-bings-chatbot/

https://www.nytimes.com/2023/02/16/technology/bing-chatbot-microsoft-chatgpt.html

https://www.marketwatch.com/story/microsoft-bing-chatbot-professes-love-says-it-can-make-people-do-illegal-immoral-or-dangerous-things-8e8597f2

Yep, this is going to end well !!

“You can also imagine with all of these sensors in our roads, without having a big data type of platform and some cool technology to use that data, we could get like half a day's worth of transactions into Excel, and that's how you knew what congestion was like on a particular section of road.”

In Excel’s place, Transurban stood up a data infrastructure powered by AWS services - including S3 and Redshift - and overlaid with Tableau for visualisation, dashboards and reporting. It uses Python to ingest raw operational data into the cloud-based data infrastructure.

The quote above is an excerpt from this itnews article. It gives a fantastic simple example of how big-data exists and is under utilised by companies. Many companies are screaming out for Narrow-AI solutions to their big-data problems.

Transurban (ASX:TCL) was using excel spreadsheets and humans to gain insights from their road sensors – practically the bronze age! (stone age analogy would be people and paper…), and the process was limited to mere sections of road.

Probably not new information to strawpeople, but a great tangible example of the value proposition for AI against fallible and costly human processing, as seen in companies like ASX:NEA, ASX:EVS, and ASX:3DP.