Software / A.I.

Vortex is a simulation platform to simulate robot operations in real time, either for operator training or during design phase. It is made by CM Labs Simulations Inc.                 The company recently introduced the Vortex 6.6, the latest upgrade. An example of the software for robotics applications can be seen here, where it is used to simulate remote operated robots for petrochemical inspection applications. The software also has been used to test explosive ordinance disposal (EOD) robots and train EOD operators.   Read More

Researchers at Disney company developed a new robotic tool that makes designing walking robots so easy, which eliminates having to deal with walking mathematics of robots and creates a ready to print model of the robot within even minutes. After tests, they indicated that the design is in fairly good agreement with the real physical robot as far as performance of movements.   Source: disneyresearch.com, Interactive Design of 3D-Printable Robotic Creatures     Read More

We have been seeing a lot of improvements in the field of AI lately. Here is a new system that has been developed by facebook: http://www.forbes.com/sites/kathleenchaykowski/2015/11/03/facebook-works-to-translate-images-into-words-using-artificial-intelligence/ Read More

In an effort to facilitate learning of its AI platform Watson, IBM has bought a medical imaging company, in order to show its Watson lots (billions) of medical images, to improve its diagnostics ability. The system could prove very helpful in assisting doctors to make diagnostics. See details here: http://www.technologyreview.com/news/540141/why-ibm-just-bought-billions-of-medical-images-for-watson-to-look-at/ Read More

Here is a detailed article about artificial intelligence and deep learning in technologyreview: http://www.technologyreview.com/featuredstory/540001/teaching-machines-to-understand-us/?utm_campaign=newsletters&utm_source=newsletter-weekly-computing&utm_medium=email&utm_content=20150806 Read More

Neural networks recognizes shapes better than humans. See link below: http://www.kurzweilai.net/deep-neural-network-program-recognizes-sketches-more-accurately-than-a-human?utm_source=KurzweilAI+Daily+Newsletter&utm_campaign=c4ec5517fb-UA-946742-1&utm_medium=email&utm_term=0_6de721fb33-c4ec5517fb-281915409 Read More

During a recent event in New York, Google CEO argued that AI is here not to take away our jobs, but to make our lives better, at the same time reorganizing the way new jobs are created. You can read about the report on Newsweek here. Google recently acquired several robotics and AI companies, the ones that made headlines the most were the acquisition of Boston Dynamics, which made the Big Dog robot, and Deep Mind, an Artificial Intelligence company. Read More

According to a report in MIT Technology Review, the start up called DeepMind, that was purchased by Google earlier this year, demonstrated a humanlike ability for a neural network for the first time ever, in neural network research. The program, which builds on the decades old knowledge of “chunks of knowledge” processing of human brain, successfully integrates this ability onto a typical neural network. Chunks of knowledge concept basically states that human brain, can store only about 7 packages of information in its short term memory, and afterwards links them to the next processing as a single chunk of information and so on. By integration of the system, company claims […] Read More

Since the beginning of the industrial revolution, whenever we invented an automated technology, or something that would be done by machines instead of humans, we always feared that it would cause unemployment. Yet it didn’t. The workforce simply shifted from performing lower level, manual jobs to ones that required more intelligence. Is it still true, given that firms, such as Google, are acquiring AI companies with great speed nowadays, that we can consider AI is coming and will replace many human jobs? Find out by reading a detailed article on telegraph newspaper of uk. Read More

Dah-Jye Lee, an engineer from BYU, has created an AI program which does not need to be calibrated by humans in order to recognize objects. Read the full story here.   Read More