[1] https://pubmed.ncbi.nlm.nih.gov/34097036/
[2] https://www.sciencedirect.com/science/article/pii/S096007602...
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[1] https://pubmed.ncbi.nlm.nih.gov/34097036/
[2] https://www.sciencedirect.com/science/article/pii/S096007602...
The Akka actor model requires a different mode of thinking which can cause problems for experienced engineers. Ideas such as 'let it crash' and at-most-once-delivery are not trivial. Basically systems design based on resilience instead of robustness.
When Actor based systems are well designed, they can be extremely powerful, scalable, resilient and adaptable.
Small nitpick. I found that akka-streams missed many useful primitives. For our toolkit, I designed flows with retry-logic, flows with cache lines and flows with metric measurements (sending data to Datadog).
Take your example. I don’t know whether a web page is encrypted. I do however know whether the transmission of one request of some website contents to a specific web browser is. But that won’t yet tell me whether the communication between me and the website has stayed confidential between the intended parties (which is probably what you’re interested in).
Perhaps you don't want to make broad generalizations?
This type of reasoning is based on an assumption that a pathogen limits its reproductive number by increasing its virulence. It is reasonable to test this hypothesis, but unfortunately we do not have enough data points to make any conclusive statements.
My point is that we simply do not know. The word 'usual' is deceptive here. Usual for the viruses we studied? Usual for all viruses? Usual for viruses which recently have made the jump to a new species? We do not know. We simply have no idea.
"Distancing, hybrid models, classroom barriers, HEPA filters, and, most notably, requiring student masking were each found to not have a statistically significant benefit. In other words, these measures could not be said to be effective."
No! If you cannot find a statistically significant benefit, perhaps your experiment design is flawed. Perhaps your sample size is too small. Perhaps you have too many confounders. But you cannot conclude the measures are not effective!
It gets better! Read the article. It says:
"COVID-19 incidence was 37% lower in schools that required teachers and staff members to use masks and 39% lower in schools that improved ventilation. Ventilation strategies associated with lower school incidence included dilution methods alone (35% lower incidence) or in combination with filtration methods (48% lower incidence)."
In other words, the study actually found many significant interventions in schools, among which masks. Unbelievably bad reporting from Intelligencer.
Citation needed. The delta variant is the prime counter-example with higher R0 and slightly higher mortality. SAGE admitted SARS-CoV-2 will very likely mutate to defeat all build-up immunity. Variants of SARS-CoV-2 (SARS and MERS) showed the potential to have very high infection fatality ratios.
There is no reason at all to suspect COVID will suddenly become mild.
- Distributed computing
- Feature selection
- Budgeting / accounting of experimental design (these TPU clusters are not cheap)
- ML architecture
- Involvement of domain experts (multidisciplinary teams)
- Storage
The whole list is much longer, but just some topics to think about. For me the term "AI", although overly broad, come to mean the engineering and organisation needed to pull these kind of projects.
Edit: don’t want to sound accusatory
Music composition: this is a bit more far fetched, but I always thought of composition as a combination of vectors which can vary semi-independently. We want to pick some plane through that vector space and move within the plane. For example, we can vary in harmonic complexity, melodic complexity, rhythmic complexity, dynamics, tempo. But it wouldn't make sense to do all at the same time. So we pick one plane, say harmonic complexity and dynamics, and move within that plane. This allows the listener to get used to the 'space' that is opened by the composition. We can then slowly add more vectors, to keep the interest.
A very visual representation of this is the trackpads that you can see on certain modular synthesizers. Often there is a complex setup, but the variables of the setup are reduced to two dimensions, which allows the composers to vary within this projected plane.
Piano tunings: well, basically you have a vector of 230 piano strings of which the overtones are all slightly out of tune. To tune a piano 'correctly', you need to minimise set of equations of strings and overtones (matrix).
W.r.t. linear algebra: mostly in relation to sound synthesis, but also in relation to music composition, theory of overtones, piano tunings... You ask, I'll explain.
- Exponentials and logarithms
- Harmonic series
- Combinatorics
- Chaos theory
- Some calculus
- Resonance
- Linear algebra
It also taught me about physics, cognitive psychology, learning theory, history and even some sociology.
Or TeX, C, RS232?
In other words, nobody wants to hold liquid asset at the moment.
Thing is, your brain does all the processing: it reads the label, it detects the colors and brands, it associates it with previous experiences and reinforces all these connections. Then, at the last moment it decides not to engage the neocortex, so you’re not consciously aware of it.
Second of all, while cars have seen half a century of safety improvements, motorcycles have lagged behind. Nevertheless, road use and traffic density have increased. Riding a motorcycle is akin to driving a car without a seatbelt, without a crumble zone and without ABS (and even then it is more lethal). Accidents happen. It is how you prepare for them that makes the difference.
Yes, I also find it incredibly stupid how the US has become so walking and cycling unfriendly. The reason why the Netherlands is different is not due to legal or regulations. It's because we have had leaders who made long-term plans to separate the various types of traffic. This means we separate the risk groups. You won't find many walking on roads with traffic exceeding 50 kph (30 mph). You won't find cyclists on highways. That is the solution.