The gender balance is equal for law/medicine mostly at the school level[1].
And with regards to school[2]: "Research finds that men engage in more abstract thinking about many topics—using categories, generalizations—while women are more disposed to context-specific thinking—in terms of concrete situations and relationships. This is evident, for one thing, in how some psychologists contrast the moral reasoning of males and females. Males’ moral judgments tend to be governed by abstract principles of justice, duty, and fairness that apply to all people and situations (e.g., whether a law is broken, whether justice is served). Females’ moral judgments give more weight to specific relationships between people and extenuating circumstances in a given situation; moral judgments are made through subjective feelings (e.g., whether someone feels betrayed or harmed) rather than abstract principles."
And we know from other research, that people who fail in introductory programming classes, fail on that point exactly - they have problems with working with programs that manipulate variables without some meaning.
Add to that that in many fields of study women choose, there's relatively a lot of human interactions, and the goals are towards helping humans,one would see why CS doesn't have the biggest appeal for females ,and why the story of other professions evolved differently.
And that might guide us to some changes in CS curriculum - like maybe teaching in a more concrete way. But one wonders , isn't good CS mostly about abstraction ?
With all the fake electronic parts coming from china, are those companies a trustworthy long term source for such companies ? Not sure.
One common advice is to buy from authorized sources, and looking through octopart[1], arrow is the only distributor of anadgim, with 1000 units minimum quantities.
Bill Gurley's post is very interesting and in-depth. One thing he doesn't mention is the potential of UberPool(combining multiple passenger trips into a single car) to further increase demand. I wonder why is that ?
Have you tried something like f.lux ? it can remove the black spectrum of colors from computer/tablet displays ,and they claims there's research that this is the spectrum most critical for messing up with sleep.
With regards to eink web-apps, don't forget you'll also have to fight the keyboard if you'll even get one. So it's hard to design to that medium. On that note, there's the onyx eink phones/tablets that have a version of the play store, but their only unique apps are rss reader and google calender. But maybe sniffing around onyx and their users will let you discover usable apps.
Maybe with UberPool(sharing rides with other people on the same route) they'll have more access ? and if you combine that with Uber's SUV service, which enables sharing rides between up to 6 people, you'll get to something more accessible to poor people.
I'm not sure it would take the long term to determine reliability: there are engineers who specialize in that,and there are software tools to simulate the reliability of a mechanical systems.
Whether this company did this or not is unknown, if they are offering this system on a per month basis, it makes sense they did some reasonable level of analysis of costs, because it would reduce their risk greatly.
Of course those are factors , but qbotix has raised investment, has managed to get some commitments for solar projects, and there's even a company using their system in the UK offering to finance projects on a long term electricity purchase basis, claiming it's much cheaper than current providers:
So qbotix might have good solutions for the issues you mention. And that is of course without having concentrated solar power, which makes a qbotix a more attractive offer.
Yes, it's not very nice to collude. On the other hand, were programmers get very good salaries. To some, maybe even Sergey, it might not seem like an urjent and critical moral issue,in the way that saving lives is.
As a practical matter, especially for the robot ,it might not matter who is observing. The fact that one can observe oneself enables further capabilities like better feedback.
And by the way i think this observing robot has(or can have) an internal definition of self, and an observer beyond the self. It seems possible.
I think good understanding of conciousness comes from the meditative tradition, and their definition for it is "the part of the brain that observes the other parts".
BTW we've already implemented consciousness in a robot: http://www.scientificamerican.com/article/automaton-robots-b... and it's useful. But AFAIK, i don't think it's used in any commercial system, although that's the kind of thing a commercial company won't advertise.
The article ends in a non serious fashion.So the author discovers his books outside of Amazon.Does this fact has any relevance to how people in general discover books ?
On the other hand, Amazon is Google's biggest threat in general product search(and probably discovery). So surely Amazon is even stronger in books.
And i'm sure Amazon does play with search/recommendation ranking, and publishers see the effect on sales, or else they wouldn't have bothered with this fight.
Maybe for some people, their passion lies in money/fame/etc ,but they see very clearly how attacking said opportunity would lead to those, and it gives them enough "passion" and motivation?
Another sensational title. We have many "virological penicilins". We call them anti-retrovirals. We even got some for influenza(Oseltamivir ). The only difference is that this is "natural" ,which appears to matter to some people.
But it's a good discovery, another drug is always useful.
They forget that Google also own a high resolution satellite company and they're working on a drone project - all which could be very useful for real time mapping.
About parking, this is less important for a taxi company.
And the incentives for self driving cars are huge , even as regional taxi companies, so connecting the traffic lights into the net(read only) as backup doesn't seem like a big problem.
The real interesting question is: does it really need "generalized intelligence" , or all the examples the article mentioned could be coded decently enough on a case by case basis, to a point where self driving car is much safer than a car ? We don't yet know the answer, but the current safety of Google's car are promising in that regard.
I think they're betting on software and mostly on "cognitive computing" and watson. And they're focusing on that, leaving aside businesses that won't really give them a competitive advantage, like their fab.
If they can achieve what they promise, they'll regain their place in the history books.
The cheapest node today and for a long time is 28nm. But there are many applications where people are willing to pay more for performance, like processors.
Second there's a debate whether SOI is more expensive once it reaches volume. The claim vary between 10% more expensive , to cheaper , to something in the middle. We'll see.
IBM had a unique process call silicon-on-insulator that gives you something like an extra step in moore's law with regards to power and speed(but not cost). They also had their EDRAM technology , which is much more efficient memory type for cache.
This enabled them to build a huge(100MB) and fast(3TB/sec) L3 cache in their processors. This is something that could give a huge boost for many kinds of applications, for example databases d\and machine learning.
While intel has some edram capability, i haven't seem them release an integrated edram with the processor, not sure why.
And let's not forget, IBM now licenses the design for it's beast of a processor, the power8 ,in a modular format, enabling chip companies to easily add accelerators and innovate.
So it would be very interesting what intel's competitors will build with all those capabilities. I'm getting the popcorn.
But there's this:
http://firespotting.com/