This is your four-minute warning: Boffins train ImageNet-based AI classifier in just 240s Faster is always better in AI, although it comes at a price. As researchers strive to train their neural networks at breakneck speeds, the accuracy of their software falls. Thus, teaching machine-learning code at high speed, with the resulting network able to make precise and correct decisions, is a vital goal. To that end, a …
"Balance" and "optimal" are keywords that often imply a knowledge gap and/or omitted subsystems. They can actually be understood as an admission of failure, or (if we're being generous) an unfinished project. They're probably nothing to be particularly proud of.
E.g. One doesn't "balance" a petrol engine's spark timing, "optimizing" the trade-off of low and high RPM. No, no. Instead one invents the Timing Advance subsystem and thus provides ideal spark timing over the entire RPM range.
E.g. The difference between a carburetor (with all its mindless assumptions) versus modern fuel injection (with all its sensors and feedback systems). The former may be optimized, but the latter can always be ideal.
E.g. One shouldn't be satisfied with the "optimum" resistor value to poorly control the current in an LED. Rather one should recognize the need for a more complex constant current driver circuit, design it, and thus achieve ideal LED drive current over a wide range of input voltages.
It's a different mindset.
In this example, one might invent an embedded hierarchy of parallel multiple systems (i.e. merely memory for the neural parameters) covering a variety of scales. The training would also be paralleled, so little extra time. Conceptually a scaling framework placed over the present system. [Concept Needs Work Alert.] Then the final system could be ideal over the possible range of scales.
Balancing, trade-offs, optimizing - these are actually red-flags that may indicate designers that are failing to imagine a system with one more control loop.
Welcome to my thought processes...
Thus, teaching machine-learning code at high speed, with the resulting network able to make precise and correct decisions, is a vital goal.
I'd Venture IT Virtually Heavenly, Katyanna. And Practically Almighty. That's certainly a Great AI Goal.
But 'tis nothing new, the Search for Discovery of the Holy Grails with Heavenly Tasks to Perform and Present. IT has been Baffling Humankind with Fantastic Goals to Achieve since Forever.And dangling AIMaster Key that Unlocks Everything to Inspection for Prevention of Inattention to Serious Abuse and Perverse Misuse, is a Touch of Manifest Genius which to admire and comprehend is Most Definitively OtherWorldly.
No wonder it is so highly praised and prized whenever so immensely valuable.
We are evolving, but more than us, the tech around us is. .... Divyas
We are indeed evolving, but more than us, is the tech around us revolting too :-) When too hot to handle, lay back and enjoy the ride if you aint a target of particular and peculiar interest.
*An AIdDriver Par Excellence.
An El Reg Exclusive?
Some InterNetworking of Things are Just Too Critical and Vital and Criminal to Keep Deeply Hidden for Secrets More Generally Unknown.
Toboris.johnson.mp@parliament.uk <boris.johnson.mp@parliament.uk>
Sent: ...
3 August 2018 4:25 PM
Subject: ....
RAW and Rare Augmented Virtual Realisation
Hi, Boris,
A Little Something Great British for Renegade Rogue Rebel Tories to be Aware is Readily Available from and for ..... well, Right Royal Loyal Knight Sources with Almighty Forces would be a Universal Asset and Heavenly Gift, methinks. Where does your force come from and what/who does it feed and seed/activate and mentor? ...... http://amanfrommars.blogspot.com/2018/08/180802.html
Hostile Parliamentary Coup D'État Territory and Virtual Safe Space Haven. What's not to like for AI NEUKlearer HyperRadioProACTive IT Leading Program with Myriad Alternative Projects for Realising the Future with Presentations Today being Featured as Supply for Tomorrow.
Global Peer Review of its Fully Transparent Directions will ensure Crashes and Conflicts are Easily Avoided if Aired/Mooted/Diverted.
And please be not surprised if word of this approach is enquired of you. .... for fresh up to the minute news of your action and future intention towards it.
Regards,
....... which automatically returned a totally unsatisfactory ....
The Rt. Hon. Boris Johnson MPMember of Parliament for Uxbridge and South Ruislip
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But no matter, 1st Class Special Delivery is hereby Assured and Guaranteed Faultless.
"Oh what a tangled web we weave. When first we practise to deceive" .... Is Boris a Good Spider or Bad Actor? Over now to the AIMaster Stage for his Interpretation and Intervention and Presentation of Virtually Remote Developments. :-)
DM suggested, "To be useful an image classifier needs well over 90[++] % accuracy."
Depends on the application. And you need to considers both missed detection (false negatives) and false detections (false positives), considering the expected rarity of the event, using the methods of Bayesian probability analysis.
An intruder alert system, where a detection event merely causes the human guard to put down their magazine long enough to glance at the video monitor... Such systems might be very useful even with a false positive rate of 50%. But they'd better not miss anything, so 99.9% detection rate.
Scanning a stadium looking for known terrorists, where the police snipers start shooting at anyone with a beard, forget about it. The failures will be spectacular, and the system managers have become the terrorists.
It's a bit more complicated than a single "90%" descriptor.
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