Additionally, total dose is only one part of the equation. Single Event Effects (SEE) also must be mitigated.
You can read NASA JPL's ASIC design guidance for a brief intro.
191 karma · joined February 7, 2025
Additionally, total dose is only one part of the equation. Single Event Effects (SEE) also must be mitigated.
You can read NASA JPL's ASIC design guidance for a brief intro.
https://energy.ec.europa.eu/topics/infrastructure/high-level...
https://www.ree.es/en/ecological-transition/electricity-inte...
>I got the money back via chargeback in short time.
So as evidenced, you are protected by the fraud infrastructure. The bank ate the loss for the fraud and you were made whole. In the end, the banking system cares about fraud loss. And they are exceptionally good at finding the fraud. Making changes to the card payment system is extremely difficult, due to the vast scale of the systems, so without a very good justification that a particular change will move the needle on fraud rates, the banks will opt to not make the changes.
>The search committee hopes to hire someone next spring, with Cohn planning to remain at EFF for a transition period through early summer
https://www.eff.org/press/releases/executive-director-cindy-...
It always has been, it's just now the state actors are more and more active (and visibly so).
So the issue is two-fold:
* The knowledge must be documented and accessible for training.
* A bespoke model must be trained this documentation.
It is unlikely that both of these things happen in the general model context. Perhaps individual chip vendors will eventually pursue this, but I suspect it is just not a priority for them.
Also, in my niche (hardware and embedded product security), AI doesn't a have a functional impact to the work except in code analysis, but even that is difficult given the level of abstraction these systems are built at.
I'm gonna use this term from now on, thanks.
https://www.faa.gov/about/initiatives/sms https://www.faa.gov/media/94731
https://media.ccc.de/v/38c3-wir-wissen-wo-dein-auto-steht-vo...
The flaw in Tesla's engineering choice to rely on a camera based system for self driving is that it is extremely difficult to approximate human vision with cameras alone. The author also does not mention this and instead assumes that "camera == human eye" which is not true.
>3) Wireless humanoid robots is a bad platform because we don't have the hardware to support them. Both battery density and compute efficiency is too low currently to support freestanding robots. Rip Roomba - long live its legacy
Boston Dynamics already has Atlas, with a 4 hour battery life and the ability to self-swap. That is already better than a human since it can presumably work non-stop for its entire runtime. Plus battery technology and compute efficiency are both still improving.
>But it’s good to be reminded that we know a lot less about the world than we think. Much of our thinking about the world runs on a statistical edifice of extraordinary complexity, in which raw numbers—like population counts, but also many others—are only the most basic inputs. Thinking about the actual construction of these numbers is important, because it encourages us to have a healthy degree of epistemic humility about the world: we really know much less than we think.
Telegram also has no public security or cryptographic assessments, while meanwhile WhatsApp has had numerous components analyzed by cryptographers for security.
https://www.nccgroup.com/research-blog/public-report-whatsap... https://www.nccgroup.com/research-blog/public-report-whatsap... https://www.nccgroup.com/research-blog/public-report-whatsap... https://www.nccgroup.com/research-blog/public-report-whatsap... https://www.nccgroup.com/research-blog/public-report-meta-wh...