HN user

cdtwigg

40 karma

Co-founder of 3Gear Systems. http://www.threegear.com/

Posts0
Comments24
View on HN
No posts found.

The temperatures we’re talking about (1000C) would be incredibly dangerous in residential applications, plus a small installation would lose too much energy to the environment due to the ratio of surface area to volume. More practical IMO is to use a daily cycle like what Harvest Thermal is doing: store energy in your water heater tank during the daytime and release it at night.

Also radiosity for offline rendering got largely replaced by sampling based techniques, first things like photon mapping and more recently by path tracing. Sampling approaches are easier to parallelize and generalize better to other types of materials.

Yeah it’s the trials that are really expensive, not the basic research. The government gets to spread its dollars around to lots of individual researchers but if they were instead using that money to fund phase III trials (1) we’d have a lot a lot less money for basic research (2) we’d fund a lot fewer phase III trials so (3) we’d see much less drug development overall. Also I’d worry about a potential conflict of interest if the same government is conducting and evaluating the results of drug trials.

I guess I would have assumed the opposite? A virus that just jumped from bats to humans is expected to evolve pretty quickly in the binding domain as it “learns” to better target human ACE2. I thought the reason they targeted spike was that it’s on the surface of the virus and so an obvious target for antibodies to attach, whereas if you target some structural proteins deep inside the viral structure you’re taking a risk that the antibodies won’t be able to reach them.

Yeah broadcast TV content has long consisted in large part of reruns, syndication, and older (cheap to license) movies, think of what was showing during non prime time hours when you were growing up. If anything there’s much more new content now thanks to the streaming wars.

Sometimes there are other regularities in the data that an ML algorithm can exploit; for example, if it can detect feet strike events in the IMU stream, it can compute an estimate of how fast someone is walking that is independent of integrating accelerations.

I am not an expert, but there has been a lot of hope recently that because we have much better understanding of protein structure (e.g. https://cen.acs.org/pharmaceuticals/vaccines/tiny-tweak-behi...) and because mRNA allows us to tightly control the genetic sequence, there is hope we could target some part of the virus that _is_ well-conserved across variants. e.g.: https://pharmaceutical-journal.com/article/feature/preventin...

I also feel like the way Tesla drives is really aggressive, I basically can't use is adaptive cruise control in slow/stop-and-go traffic because it ZOOMs right up the the car in front and then slams on the brakes, rather than just going along at a reasonable pace. Similarly, in this scenario with this visibility I might choose not to drive 10mph over the speed limit.

While this is possible, longer credits mean more filmstock to be duplicated and fewer showings per theater screen, so there is an economic incentive to keep them as short as possible. I know when I worked in the VFX industry an artist had to clock a certain number of hours on a given show to be given credit for the work.

Structured light cameras like Project Tango or Occipital's Structure sensor that project a textured pattern would work well here. Stereo algorithms like the one you linked that use the regular phone camera are likely to struggle here, because flat, blank walls are a worst-case scenario for them (yes, they're using the accelerometer to assist, but the reconstruction still needs texture).

Auto-vectorization is impossible for a lot of real-world code because it requires changing how data is laid out in memory. Notice that the AVX version of the raytracer actually involves packing blocks of x components into a single 256-bit-wide variable. Realistically, a compiler is not going to be smart enough to figure that out.

Why assume that anyone who isn't deeply expert in the technical details of a product isn't a full-time employee of the company? Many companies hire sales/marketing people of both genders that may have a relatively superficial understanding of the inner details but are more enthusiastic and outgoing than the engineering staff.

Okay, so these papers are phrased a little confusingly, but what they're really doing is solving a specific but very useful type of linear equation Ax = b where A is a diagonally-dominant matrix (entries on the diagonal are larger than the sum of the off-diagonal entries). It happens that graphs are equivalent to matrices, so it's a neat area that straddles applied math and computer science. For a survey paper on recent developments in the field: http://www.cs.cmu.edu/~jkoutis/papers/CACM-KMP.pdf