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How to Make a Transformers Decepticons: "Soundwave" Costume: One of the coolest transformers from the G1 generation, Soundwave was the man.. er.. Bot! I made this costume for one of my friends in order for him to join in our Transformers lineup.
A data-efficient robot motion planning architecture While AI processing at the edge constitutes a good basis for building embodied AI applications, there is a critical issue that remains to be solved. In contrast to internet AI, which learns from static datasets (e.g., ImageNet which contains...
“it was not a fast process in any way! for example, i probably built the legs about fifty times before i found a leg that actually worked.” the challenge is in capturing the thing that has always made transformers special… how they move from vehicle to robot, without breaking apart. ...
robot don’t agree entirely, and we need to convert one to the other. The best method for mapping human data to a robot hand will depend on the specific application. For example, if you need to control a robot’s hand in real time, then direct mapping may be the best option. If ...
Also, a significant number of examples need to be used in training large models to make them more capable and accurate. The trained neural network model is then used to interpret new inputs and create new outputs. This application of the model processing new data is commonly called inference....
I tried to get a robot arm to unload dishwashers that held dishes of all different shapes and sizes. In hindsight, I was much too early. Deep-learning algorithms for perception and control weren’t good enough at the time. About 15 years ago, I thought that unsupervised learning (that ...
more effectively or in entirely new ways, thanks to having mostly reliable supercomputer you can converse and collaborate with ("Mostly reliable" refers to chatbots' hallucination problem. Simply put, AI engines have a tendency to make up stuff that isn't true but sounds like it's true. More...
Python's.format() function is a flexible way to format strings; it lets you dynamically insert variables into strings without changing their original data types. Example - 4: Using f-stringOutput: <class 'int'> <class 'str'> Explanation: An integer variable called n is initialized with ...
In 2017, researchers at Google introduced a new architecture for neural-net training called a transformer. The following year, researchers at OpenAI used Google’s framework to build the first “generative pre-trained transformer,” or G.P.T. The G.P.T. models were trained on Nvidia supercomp...