Researchers at Human Longevity have developed technology that can generate images of individuals face using only their genetic information. But not all are convinced.
Category: robotics/AI – Page 1,736
This transforming autonomous fleet of electric car pods is built for socializing in 2050
Imagine a future where living in close quarters will be the norm, and so will the vehicles in about five decades from now reflect that societal bond. The Arrival Chemie is a true example of a minimalist future that will revolve around simplicity, function and of course human bond!
Automotive design is going through a metamorphosis stage wherein the gradual shift to an eco-friendly set of wheels is becoming the priority of manufacturers and consumers alike. This shift in perception has had a domino effect in the basic design of vehicles since the propulsion mechanisms and their placement in the vehicle have changed. This gives more freedom to experiment with the interior as well as exterior form. More emphasis is now on the comfort and lounging experience while traversing from point A to B. While on the exterior the multifunctional approach takes precedence.
A four-legged soft robot that doesn’t need any electronics to work
A team of engineers from the University of California San Diego has unveiled a prototype four-legged soft robot that doesn’t need any electronics to work. The robot only needs a constant source of pressurized air for all its functions, including its controls and locomotion systems.
Most soft robots are powered by pressurized air and are controlled by electronic circuits. This approach works, but it requires complex components, like valves and pumps driven by actuators, which do not always fit inside the robot’s body.
In contrast, this new prototype is controlled by a lightweight, low-cost system of pneumatic circuits, consisting of flexible tubes and soft valves, onboard the robot itself. The robot can walk on command or in response to signals it detects from the environment.
Predicting the Difficulty of Texts Using Machine Learning and Getting a Visual Representation of Words
We see that text data is ubiquitous in nature. There is a lot of text present in different forms such as posts, books, articles, and blogs. What is more interesting is the fact that there is a subset of Artificial Intelligence called Natural Language Processing (NLP) that would convert text into a form that could be used for machine learning. I know that sounds a lot but getting to know the details and the proper implementation of machine learning algorithms could ensure that one learns the important tools in the process.
Since the r e are newer and better libraries being created to be used for machine learning purposes, it would make sense to learn some of the state-of-the-art tools that could be used for predictions. I’ve recently come across a challenge on Kaggle about predicting the difficulty of the text.
The output variable, the difficulty of the text, is converted into a form that is continuous in nature. This makes the target variable continuous. Therefore, various regression techniques must be used for predicting the difficulty of the text. Since the text is ubiquitous in nature, applying the right processing mechanisms and predictions would be really valuable, especially for companies that receive feedback and reviews in the form of text.
Robots and AI assist in building wooden hanging gardens in Switzerland
ETH Zurich is designing and fabricating a 22.5-meter-tall green architectural sculpture.
This beach-cleaning robot is a Roomba for sand
An all-electric, robot called BeBot can sift through sand to extract pieces of debris too small for traditional systems.
