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[D] Should we stop teaching students any ML methods other than neural networks

Not sure if this has been posted on here and seems like a place to discuss this recent comment by an employee at OpenAI that blew up a bit:
Controversial opinion: We should stop teaching students any ML methods other than neural networks. There is so much inertia against forgetting things that never panned out. It's hard to let go of ideas, especially one's own, but our objective should be to make real progress in AI ... Also, my opinion is about the ideas needed to make real progress in Artificial Intelligence. The most common response seems to be that other methods are still used in production. I don't know how long that is going to be the case, but it's not what I'm arguing about.
I think just as with most of AI Twitter most on here would go ahead and strongly disagree, so rehashing the merits of this opinion does not seem very interesting (basically, we don't teach students AI just so they can try and acheive AGI, done).
I am curious though, can people point to papers, projects, or personal anecdotes about contexts in which NNs are worse than or similar to none NN ML techniques or techniques that combine NNs with other stuff?
I can start -- this paper "Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption" makes a nice demonstration of benefits of random forests:
Energy prediction models are used in buildings as a performance evaluation engine in advanced control and optimisation, and in making informed decisions by facility managers and utilities for enhanced energy efficiency. Simplified and data-driven models are often the preferred option where pertinent information for detailed simulation are not available and where fast responses are required. We compared the performance of the widely-used feed-forward back-propagation artificial neural network (ANN) with random forest (RF), an ensemble-based method gaining popularity in prediction – for predicting the hourly HVAC energy consumption of a hotel in Madrid, Spain. Incorporating social parameters such as the numbers of guests marginally increased prediction accuracy in both cases. Overall, ANN performed marginally better than RF with root-mean-square error (RMSE) of 4.97 and 6.10 respectively. However, the ease of tuning and modelling with categorical variables offers ensemble-based algorithms an advantage for dealing with multi-dimensional complex data, typical in buildings. RF performs internal cross-validation (i.e. using out-of-bag samples) and only has a few tuning parameters. Both models have comparable predictive power and nearly equally applicable in building energy applications.
And there's the old favorite kNN which is massively useful, especially when combined with DL (see eg Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors, Deep k-nearest neighbors: Towards confident, interpretable and robust deep learning).
submitted by regalalgorithm to MachineLearning


NVIDIA - Frames Win Games - Community Questions Answered

Hi, everyone!
The NVIDIA GeForce team has recently been doing a lot of work exploring the benefits of gaming with higher refresh rates. From looking into the science of gaming on higher hertz monitors, to esports benefits, and even working with Linus, we really wanted to get down to why more frames matter.
We recently held a live Q&A on the NVIDIA subreddit with Nvidia's GeForce Esports Product Manager, Seth Schneider (coldfire37). Users had the opportunity to ask him anything regarding framerate, refresh rate, monitors, latency, etc., and we thought we’d share some of the answers to those questions.
Below you’ll find a concise and summarized edit of the questions we received and answers Seth provided. If you’d like to view the full Q&A, please visit the original thread.

Q: “How does NVIDIA’s newly released max framerate limiter compare to other in-game framerate limiters (RTSS) in button-to-pixel latency?”
Seth: Given consistent frame rates, good in-game frame rate limiters (FRL) naturally have more control of the entire pipeline and thus can produce lower latency than our max framerate limiter or RTSS. This is simply because the GPU is later in the pipeline and there is only so much control we can have over how the game processes their simulation.
Although, using an FRL to get lower latency can be a tricky business! Game FPS is not usually consistent. If the uncapped FPS would naturally be much higher than the frame rate limit, capping will produce higher latency. Conversely, if the game becomes GPU bound by dipping too far below the cap, it will also result in higher latency. This is one of the reasons why we created the Ultra Low Latency mode in the driver. It handles the dynamic nature of games pretty well and provides lower latency in most situations.

Q: “Does 144Hz and 180Hz have a big difference while gaming? I worry that overclocking to 180Hz will shorten the monitor’s lifespan.”
Seth: 144Hz is the new baseline for competitive gaming. We have shown benefits going from 144hz all the way up to 360hz. Regarding overclocking, we suggest reaching out to your display manufacturer for details.

Q: “In your opinion, can we expect similar refresh rate capabilities from all major monitor technologies: IPS, TN, LCD, etc?”
Seth: LCD display techs such as IPS, TN, and VA all can be driven at high Hz. There are 240Hz G-SYNC displays on the market today that use each technology. Where you see the difference however is in pixel response times. Typically TN panels have faster pixel response times than IPS or VA, but trade off some color contrast and image quality.

Q: “1. I want a tear-free experience. On my 144Hz monitor I have set G-Sync and V-Sync on through NVCP, but, additionally, I have set a frame cap under 144FPS that helps to reduce input lag (info from blurbusters.com). Why is this so and will there be any solution?
  1. I have the ACER XB270H (TN panel). At 144FPS at 144Hz, if I move my mouse fast enough in Battlefield 4, I notice that the picture loses its sharpness. I recorded the gameplay with a camera in slow motion and noticed the objects on the screen ghosting. It looks like motion blur, but I do not have that option turned on.
Does it make sense to wait for the next display technology instead of currently buying a 144+Hz monitor with a TN/IPS/VA panel? At the moment there are high-Hz monitors, but pixel response times aren‘t very fast. Wouldn‘t it make more sense to wait for OLED monitors to become more ubiquitous?”
Seth: Let’s break improvement into two parts: perception and actual gamer skill improvement.
Starting with perception, let’s imagine a moving scene. The vast majority of people can perceive the difference between 60, 144, 240, and even 360hz. At CES, we just showed a demo in concert with BlurBusters where people could see the difference between 240 and 360hz. If you want to check out the demo, here is the link: https://www.testufo.com/framerates-versus
As far as improvements to gamer skill, we have done research experiments (Blind tests, control groups, etc.) that do show benefit to gamer skill when Hz and FPS increase in certain aiming tasks. We published a paper a SIGGRAPH Asia last year that shows some of these benefits. Here is the study: https://research.nvidia.com/publication/2019-11_Latency-of-30
Also in the Linus video we did see these benefits as well! - https://www.youtube.com/watch?v=OX31kZbAXsA
That being said, based on the research we have conducted so far, it turns out there is real improvement.

Q: “I'd like to see the importance of high-Hz gaming expanded to also cover single player experiences. Even in games like The Witcher 3 or Metro: Exodus, I prefer a higher (100-120fps) framerate when possible. Also, how important is RAM speed for to maximize framerate? Some say you should tweak the sub-timings as well. Is this actually useful?”
Seth: High hz and Ultra Low Latency mode benefit single player games as well! We're always trying to optimize performance while also providing the most stunning visuals like RTX and allow the user to tailor the experience to their personal preference.
I’m more of an expert on GPUs and Displays, but RAM speed tends to not have a significant impact on framerate in most scenarios. Although, faster memory never hz anyone. :)

Q: “I know using a frame limiter like the one added in 441.87 helps to keep framerate consistent. How does NVIDIA’s framerate limiter differ from utilizing G-Sync and NVCP’s V-Sync while using the Ultra Low Latency mode?”
Seth: A frame rate limiter will only set the upper bound on FPS so if the game’s workload were to increase such that it drops below that target then frames will start to queue up and increase latency. Ultra Low Latency mode dynamically adapts to these situations to minimize that queuing.

Q: “At what point with FPS does one start to see diminishing returns? Is there a point when the amount of frames per second becomes redundant or is there always room for MORE FPS?”
Seth: Great question. Currently we have not found an upper limit, but we have linked gamer skill with System Latency which will hit diminishing returns at some point. As of today, we are still seeing improvements even up at the 360FPS/360hz range. Our expert research team is very interested in this question though! We will surely publish a formal paper once we determine where this limit is - likely, this threshold will be different for each person.
TLDR: There are always moar frames. :)

Q: “What do you think is the next, big thing in display technology? After Hz, resolution, OLED, G-SYNC/Adaptive Sync - what’s next?”
Seth: If we take a trip down memory lane back to pre-2013, display technology was pretty stagnant. Basically all 1080p 60Hz displays. Since G-SYNC arrived on the scene, we have been pushing the display industry to create higher resolutions (77inch BFGD LG TVs), higher Hz (Like our 360Hz tech we just announced at CES), backlight technologies such as OLED and mini-LED that provide incredible contrast, and VRoverdrive technologies to improve image quality and reduce ghosting. In the future, we will keep improving on these vectors by providing these breakthrough technologies to gamers.
Check out our slow motion video that visualizes different FPS/Hz values to get an idea of how display technology has progressed over the years: https://www.youtube.com/watch?v=uJxxCgKa0mU
As a competitive gamer that used to play on a 60Hz display, these technology breakthroughs have certainly changed the way I compete.

Q: “Why does maxing out your GPU SIGNIFICANTLY increase input lag? Battlenonsense made a video about it. I think a lot of us would like to know more about this.”
Seth: The GPU is late in the rendering pipeline so if it becomes the bottleneck, everything that comes before it has the option to queue up work and ‘run ahead’. This is good for maximum throughput but adds to latency. That’s why adding frame rate limits (either static or dynamic) earlier in the pipeline will minimize these queues and reduce latency. If your GPU is not maxed out that means the bottleneck is likely much earlier in the application and once the game is ready to render it will run through the rest of the pipeline without waiting in any queues.

Q: “What made you do this project?”
Seth: I grew up as a competitive gamer. It’s actually what got me into computer engineering and computer science. NVIDIA is full of gamers who want to make products that actually make a difference for the thing they love - gaming.
For me, I have over 2k hours in CS:GO, so researching how tech can improve gamer skill is extremely interesting to me. It’s been fun hearing from the community on our work with Linus, Shroud, and n0thing while we explore this topic. This is just the beginning of our work with frameswingames and I’m looking forward to more awesome breakthroughs like 360Hz.
submitted by SurooshX to hardware