drift

After years of dealing with Joy-Con drift and no satisfactory answers from Nintendo, we may finally have our solution. A company called Gulikit created a set of Switch joystick replacements that promise to banish stick drift once and for all (via Gizmodo).Take a look at these drift-free joystick replacements. Image: GulikitUnlike your standard Joy-Cons from Nintendo, Gulikit’s joystick replacements use something called Hall effect sensors to essentially make them drift-proof — the same technology used by Sega’s 90s-era…

GuliKit, makers of the truly excellent KingKong Pro 2 wireless controller for the Nintendo Switch, which we reviewed last year, has just released an upgrade/repair kit for the official Nintendo Joy-Cons that brings its drift-free Hall effect joysticks to the handheld console’s native controllers.It’s an unfortunate fact that if you own a Nintendo Switchand play it regularly, you’ve possibly already experienced the issue known as ‘Joy-Con drift’ where the Switch detects joystick inputs even when a player’s fingers aren’t…

Hello everyone welcome to the very last Nintendo recap. This week NYXI released a new Switch controller that features a GameCube design and uses Hall Effect joysticks for no drift. But it's so popular that it's been hard to find it in stock. Additionally, some gamers discovered a brand new glitch in The Legend of Zelda: Breath of the Wild that makes Link invincible and gives him endless stamina. In other news, Ubisoft released a financial report that revealed bad sales in 2022, which has led the company to cancel three…

Photo by Joshua Sortino on UnsplashOne of the important functions of MLOps engineers is to monitor the model performance. Data drift causes degradation in the model performance over a period of time. Let's discuss data drift and the steps we can take to detect it in detail.Data drift refers to changes in the data distribution over a period of time. This can occur due to changes in thedata collection process,changes in the data source,or changes in the business needs or goals.Data drift can lead to poor model performance,…

How many joy-cons have you gone through? I think I have like three with some degree of drift, and I am not that hard on my Switch. That’s why I’m pumped that NYXI has jumped on the bandwagon along with Gulikit and 8BitDo, announcing a retro-styled Switch controller called the NYXI Wizard Wireless Joy-Pad that features drift-free Hall effect sensors.If you are like me, few things fill you with a berserker-level rage like a broken controller that you shelled out 70 bucks for a few months ago. It can feel like a cop-out to…

‘Drift’ issue recognized as ‘design fault’ by Which? Long-standing UK consumer watchdog Which? has called on Nintendo to refund all customers who purchased alternate Joy-Con peripherals as a result of the packaged units suffering from “drift”. “Joy-Con Drift”, as you will no doubt remember, referred to a frequent problem in the Switch’s lifespan which would see one or both thumbsticks roll off-center, resulting in on-screen movement even when the sticks were stationary. The flaw resulted in numerous complaints from…

The dreaded ‘Joy-Con drift’ issue that has plagued many Switch owners since the console’s launch in 2017 is likely caused by a mechanical fault. READ MORE: Best Nintendo Switch games: What are the best Switch games in 2022? That’s according to the latest research from Which?, who point to likely mechanical flaws causing a problem where the Switch’s Joy-Cons cause movement in-game without the player touching the stick at all. It has been a significant cause of complaint throughout the Switch’s lifespan, with many players…

Data drift meets data profilingImage by authorTLDR: We experimented with statistical tests, Kolmogorov-Smirnov (KS) specifically, applied to full datasets as well as dataset profiles and compared results. The results allow us to discuss the limitations of data profiling for KS drift detection and the pros and cons of the KS algorithm for different scenarios. We also provide the code for you to reproduce the experiments yourself.Data drift is a well-known issue in ML applications. If unaddressed, it can degrade your model…

Approaches for measuring embedding/vector drift for unstructured data, including for computer vision and natural language processing modelsImage by authorData drift in unstructured data like images is complicated to measure. The metrics typically used for drift in structured data — such as population stability index (PSI), Kullback-Leibler divergence (KL divergence), and Jensen-Shannon divergence (JS divergence) — allow for statistical analysis on structured labels, but do not extend to unstructured data. The general…

Practical case study with code that you can runImage by Dimitris Vetsikas from PixabayIntroductionIf you have been working in Data Science and ML for a while you know that the models you have trained can perform very unexpectedly in a production environment. This is because the production data tends to be different from the closed train dataset you used to create the model. Additionally, the production data keeps changing over time so even models that initially perform well will degrade over time.Image by the AuthorWhat…