Among his many abilities is to tengyun , or mount a cloud and fly.The company we re introducing today is called Zhubajie .Scaling up the platform and innovating our products involved a strong element of trial-and-error along the way, said Zhu Yueming, founder and CEO of Zhubajie.Zhu Mingyue, founder and CEO of Zbj.com photo from Zhubajie But Zhu soon found that mere product innovation was not sufficient, as users tended to avoid paying commission and leave the platform once they privately set up contacts.Its major projects fall in three categories: graphic design, web construction, and marketingEmployers can publish a task in either a rewards system, where a best solution is chosen from all submissions, or in a bidding system, where a service provider is chosen for its qualifications and rate before the service is provided.Similar to Witkey, where users share knowledge, share experience, and purchase services and information, Zhubajie used to have three major income sources: commission, ad revenue, and membership fees.The program will negotiate with 120 cities and cover 36 of them within this year, and the company will establish a VC fund to support local enterprises.To build trust between customers and the platform, Zhubajie offers online services called Fuwubao , which guarantees that money is transferred effectively, and that compensation is available should a contract be breached.The platform now has over 15 million users, among which 10 million are service providers and five million are domestic and overseas employers, creating revenue of RMB 7.5 billion in 2015.Top photo screened from Zhubajie s official site Zbj.com
The AutoRally platform is technically still a toy, but at almost 40-inches in length and with a top-speed of 62 miles per hour, it s a perfect fifth-scale replica of a human-sized car.After a couple of low-speed human-controlled practice laps on a dirt track to familiarize the truck s AI with the simple course, the vehicle was left to navigate it all on its own, while trying to maintain a constant speed of around 18 miles per hour.Using specially-developed algorithms that calculate 2,560 different possible trajectories for the oncoming two-and-a-half seconds of travel, the truck calculates the best possible way to safely navigate a corner or straightaway all by itself using its steering, acceleration, and braking.Most of the time that includes power-sliding around a corner to maintain as much of its speed as possible—a skill that the little truck learns all by itself through trial and error.The key innovation here isn t about teaching autonomous cars how to safely drift around corners at high speeds—as cool as it looks.Slowing to a crawl every time it rains will keep self-driving cars safe, but they won t do the world any favors when it comes to traffic jams.
We re quick to label something dumb and move on, never exploring it further.That s fine for your Twitter feed, but it s an awful approach to your own creativity.It s a trial-and-error process that needs to be able to make mistakes and waste time.That s hard to reconcile with a mindset that says everything has to be perfect the first time and there s no room for anything less than the best.There will be time later to select and polish the best.If you re too afraid to pitch an idea to yourself, how can you refine it until it s ready to present to others?
The AutoRally platform is technically still a toy, but at 100 cm in length and with a top-speed of 62 miles per hour, it s a perfect fifth-scale replica of a human-sized car.After a couple of low-speed human-controlled practice laps on a dirt track to familiarise the truck s AI with the simple course, the vehicle was left to navigate it all on its own, while trying to maintain a constant speed of around 18 miles per hour.Using specially developed algorithms that calculate 2,560 different possible trajectories for the oncoming two-and-a-half seconds of travel, the truck calculates the best possible way to safely navigate a corner or straightaway all by itself using its steering, acceleration, and braking.Most of the time that includes power-sliding around a corner to maintain as much of its speed as possible — a skill that the little truck learns all by itself through trial and error.The key innovation here isn t about teaching autonomous cars how to safely drift around corners at high speeds — as cool as it looks.Slowing to a crawl every time it rains will keep self-driving cars safe, but they won t do the world any favours when it comes to traffic jams.
That, and the software algorithms developed by Georgia Tech, enables the car to game out over 2,000 projections of where it'll head in the next 2.5 seconds.The system whose specs have been published for general use performs this calculation 60 times a second and puts the power down as soon as possible for maximum velocity.In a paper at the International Conference on Robotics and Automation, the team detailed how the cars – cosponsored by the US Army Research Office – were able to learn how to handle different tracks via trial and error."However, by merging statistical physics with control theory, and utilizing leading-edge computation, we can create a new perspective, a new framework, for control of autonomous systems."While the research may help keep passengers in autonomous cars safe in difficult driving conditions, it'll be of little help in persuading Congress to allow self-driving cars on US roads.So the prospect of digital Top Gear presenters bombing around the roads in chipped robo-cars might not be seen as helpful to the cause.
McMillan is the captain of Seacharger, which is on a mission to become the first unmanned, autonomous boat to cross an ocean using only solar power.It s a project that McMillan and three of his friends have worked on for two and a half years, after being inspired by a robotic sailboat competition.Constructing the boat took a lot of trial and error, McMillan says, and at times it seemed an impossible task.Judging by the intricate design, it s no wonder the craft took over two years to build.Batteries store any surplus power, so Seacharger can travel for up to three days without needing more sunlight.A satellite modem, an Arduino-based autopilot system, and some homegrown software help the boat stay on course.
Hugon on the Quarter to Three forum writes: When I think console RPG I think pages of fairly inscrutable character info and bad navigation.Pulsing circles as part of a tutorialIn the first 10 minutes of Final Fantasy III, you come across a small, glowing light — something that ll entice any gamer in search of loot.It used to be a case of clicking the star and it turning from gray to yellow; now, as we all know, this happens:There are some pretty good arguments against spending design time on microinteractions, but in video games, it s part of the immersive experience.With SNES games, it s sometimes a matter of trial and error to find which parts of the screen you can interact with, but unlike apps with freeform mouse/touchscreen controls, the number of options is limited to wherever you can move the cursor with the arrow keys.That leads to confusing interfaces like the one I looked at earlier from Breath of Fire — how was I supposed to know there s an input field there?Featured Image: Akira Toriyama
Mark DaoustBootstrapping a startup is challenging, so when a company with very little capital starts to gain some traction and market recognition, it s a relief for the founder to finally face questions about expanding operations.Figuring out my hiring model, however, proved more challenging than I anticipated.The way I saw it, there were only two viable approaches: the first was to hire highly skilled salespeople who could work independently and be trusted with important decisions.The second approach would be to design systems that would address individual tasks that needed to be managed.Luckily, the experience enabled me to reframe my thinking and course correct my hiring practices in a way that proved invaluable to getting my company off the ground.Outlining hiring needs too broadly doesn t workThe skills I initially targeted were those of good salespeople.But to his credit, Jason Yelowitz is a persistent man, and I finally agreed to him coming on board.This has led to higher productivity because everyone feels truly vested in the company s success.Developing your own hiring modelIf someone asked me for advice, I would tell them the following: Take the time to analyse your product or service and focus your hiring model.
This is mainly due to shortfalls in natural language processing and the trial-and-error process of developers actually figuring out how users are going to use bots.After the superfluous pleasantries standard with all bots these days, And Chill asks you to tell it a movie you liked and why.While I was at first skeptical of the startup s lack of transparency around the recommendation process mainly just because I like knowing how things work most of that disappeared once I actually received some valuable suggestions.All three decently complicated questions I posed were answered with movies that I either had already seen and loved, or more frequently hadn t heard of but looked great.Currently, requests take a few minutes to process so don t give up if you haven t heard back yet , which may be because the startup noted that that some requests involve human input to confirm what their data crunching gives them .You can try And Chill by messaging them on Facebook here, or texting them at this number: 213-297-3673
But beware: If you're the type of person who likes a challenge and enjoys tinkering with computers, it can get addictive fast.It's done to get more performance for heavy-duty applications like gaming and video processing, and there's even a competitive side to it, with international rankings and competitions.At 43x I managed 2,608, and at 44x it was at 2,651 -- a 24 percent increase from the starting point.Something wasn't performing well, so I rolled back to 44x and set my sights on other adjustments.The blue screens were becoming more frequent and the adjustments I was making were becoming finer and more exotic.After about 30 minutes of trial and error, I decided to call an end to my overclocking career -- at least for now.
This post is about the importance of Qualitative Conversion Research in the CRO process, learnt the hard way through years of trial and error.It's a step by step guide on how to get started with Qualitative Research, with examples to follow & tools to use.First time posting on Medium and on GrowthHackers : Excited to know your comments and thoughts!Posting from Singapore - South East Asia, where I help early stage startups with their growth marketing efforts.Thanks!Matteo
Since it first appeared, the term "jailbreaking" has been used to refer to adapting the code on numerous other devices, from phones to games consoles.Meanwhile, Apple has repeatedly fixed jailbreak exploits with successive updates to its mobile OS, and you'll usually have to pause automatic iOS updates to apply a jailbreak.With iPhone apps now given more access to the OS, jailbreaking is less popular than it once was, and most people won't ever consider doing it.You will certainly void the warranty on your phone if you jailbreak though, so if something goes wrong you've basically got no safety net to fall back on.If you're going to dive into the world of jailbreaking, be prepared for a little bit of trial and error - the process isn't quite as smooth as downloading a new update from Apple.Speaking of iPhones, here's what we're expecting from Apple's next handset
Nick Lee has previously managed to run the old-school Windows 95 OS run on the Apple Watch.You can watch the results of the experiment in the video below, which shows the iPhone being placed into the case and connected to the board within via a Lightning cable.The project comes from the hands of Nick Lee – Tendigi's CTO and the same man who ran Windows 95 on an Apple Watch – and while there are clearly a lot of lag issues shown in the footage, the behind-the-scenes work to bring the experiment to fruition is quite brilliant.As noted in a blog post, Lee based the feat around a tweaked version of the Android Open Source Project OS.Needing somewhere to hide the components, Lee sourced a meaty 3D-printed case and after a bit of trial and error, eventually finalised a design that looks rather uncomfortable to hold, but does include HDMI and USB ports and even an SD card slot.The only question left is: what on earth will the 'mash-up' expert delve into next?
But he's probably best known in popular culture for his somewhat idiosyncratic ideas about the human brain: Namely, that thought and consciousness exist outside the limits of conventional, computational logic and physics.Penrose, to summarize several books' worth of ideas in a single sentence, argues that the human brain transcends algorithmic computation through an exotic, undiscovered physics that empowers it to interact with the quantum world.But the most important parts come down to the limits of our brains and sheer possible power of computers.Fundamentally, Aaronson said, he doesn't see any reason to accept that human brains are capable of processes and answering problems that conventional computers — if supplied with enough power and the right software — could not.Humans as a group might seem to converge toward some truths you can't achieve through formal logic, Aaronson argues.But there's no reason to believe that that's a result of anything other than trial and error and the scientific method, both skills computers could conceivably learn.Further, he doesn't see any reason a complete human brain couldn't be simulated in a computer, even if right now we lack the power:A biologist asked how I could possibly have any confidence that the brain is simulable by a computer, given how little we know about neuroscience.I replied that, for me, the relevant issues here are well below neuroscience in the reductionist hierarchy.Follow us on Facebook and Twitter.
McLaren Applied TechnologiesMcLaren has been designing its Formula 1 racing efforts and sports cars using a virtual reality simulator, and now it d like to think it could market this to the rest of the automotive industry.It eventually realized it could streamline development of its road cars as well, cutting out years of the real-world trial-and-error physical test cars have to sort through with software, components and different testing conditions.From The New York Times:Over time, the virtual testing has grown increasingly accurate.McLaren has partnered with MTS, a company which already specializes in car testing equipment, to help market the simulator.Critics point out that adopting such a drastically different development strategy would require major shifts for larger automakers with suppliers and other resources which could come at quite a cost.McLaren is confident that, despite the amount of adjustment an automaker would be forced to make, they can expect a profit within the first year of use, with expanding profits as the companies learn to utilize the system and vehicle development becomes more efficient.
Google s DeepMind artificial intelligence AI technology has proven to be very smart.DeepMind s AlphaGo system got worldwide attention for beating top-ranked Go player Lee Sedol earlier this year.We have also built a massively distributed deep RL reinforcement learning system, known as Gorila, that utilizes the Google Cloud platform to speed up training time by an order of magnitude; this system has been applied to recommender systems within Google, Google DeepMind s David Silver wrote in a blog post today.Reinforcement learning generally involves trial and error learning.Google DeepMind combines this method with deep learning, which implies training artificial neural networks on lots of data and getting them to make inferences on new data.In today s blog post Silver described some of the lab s most recent research.We have also developed a number of deep RL methods for continuous control problems such as robotic manipulation and locomotion, he wrote.Our Deterministic Policy Gradients algorithm DPG provides a continuous analogue to DQN, exploiting the differentiability of the Q-network to solve a wide variety of continuous control tasks.
DeepMind beat a world champion of Go, so now it wants to try its hand at a much more popular game.Google says it s used DeepMind to teach an ant to play football — that is, if you consider the beige four-legged ball an ant and the act of manipulating a black-and-white ball into a red space football .The description may be somewhat exaggerated, but the development is cool: the project shows DeepMind s reinforcement learning abilities.Through a combination of trial-and-error and deep learning, the AI quickly learns the mechanics of kicking the ball into the goal.Engadget points out that this technology could be used for manipulating animal-like robots and help them manoeuvre in the world with much less training.Just imagine what this kind of advance could have done for the robot that ran away.
DeepMind beat a world champion of Go, so now it wants to try its hand at a much more popular game.Google says it s used DeepMind to teach an ant to play football — that is, if you consider the beige four-legged ball an ant and the act of manipulating a black-and-white ball into a red space football .The description may be somewhat exaggerated, but the development is cool: the project shows DeepMind s reinforcement learning abilities.Through a combination of trial-and-error and deep learning, the AI quickly learns the mechanics of kicking the ball into the goal.Engadget points out that this technology could be used for manipulating animal-like robots and help them manoeuvre in the world with much less training.Just imagine what this kind of advance could have done for the robot that ran away.
In practice, it feels a bit like a one-player MOBA multiplayer online battle arena game like League of Legends, or Vainglory for the iOS faithful.Choose wisely: you ve only got eight card slots, and building an effective deck that suits your play style can take a lot of trial and error.The catchYou ll consistently get new cards and currency via chests, but they take time to unlock—and you don t earn any more when your four slots are filled.And what makes it an especially brilliant freemium game is the total lack of play restrictions.I m always wary of a free-to-play model used for multiplayer games, because the appeal tends to evaporate when you realize that big spenders can pay for competitive advantages.Every day, there are new cards that you can buy outright, whether you re grabbing a rare or epic card for the first time or buying duplicates used to upgrade each card s capabilities.
Human locomotion has traditionally been a tough nut for roboticists to crack, but the team at Georgia Institute of Technology looks to be doing so in stride with the DURUS, a humanoid or, rather, three-quarters of a humanoid bot that has taken to the AMBER Lab s treadmill like a robotic fish to water.DURUS replicates human walking in a manner much more accurate than past attempts at robot walking, striking the ground first with its heel and then rolling off and pushing with the toe.The style of walking is new for the robot, who had been jaunting around the lab on flat feet until a week or so back.The team added a pair of arched metallic feet, which helped the robot get the hang of the whole walking thing after about four days of trial and error.The students marked the occasion by outfitting his arched metallic feet with a snazzy pair of size-13 Adidas.Georgia Tech s more efficient walking robot could lead to the creation of new robotic prosthetics and exoskeletons to assist humans who need a little bit of help moving around.
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