I am a long time developer in multiple languages. My focus is 3D graphics and graphics APIs, (OpenGL, Direct3D, Unity) along with music technology and audio. I have been experimenting with Inverse Kinematics (IK) 3D characters driven by MIDI data in realtime animating characters. My main goals are performance technologies and education technologies. I created an AI driven piano tutor. I want to determine if AI can be used as an expert programming tool to aid my efforts and make me more productive.
‘Let‘s meet’ is a 3D application offering to user the possibility to get inside a 3D virtual world using Oculus headset, in this world the user will be able to discover a new way of using the social networks. The user will be experimenting a unique experience in a virtual 3D world divided into several sections, each section represents one of the Facebook services (friend list, pages, groups…) with the ability to perform all kind of actions related to the service (chat, comment, share, like…)
The project is mainly based on audiovisual aids techniques due to several indications within the environment allowing the user to establish written and movement interactions.
“Let’s Meet” has been conceived and developed with a major optimization reducing its weight in terms of increasing the response time so that the user won’t be waiting for so long in order to remain faithful to the virtue of social networks. To meet the needs of user comfort we have designed an environment with high ergonomics guiding the user with clear and simple indication so that he can easily fulfill any interaction.
Knowing that Facebook has bought the oculus Rift headset and considering his notoriety within worldwide society by scoring 1,750 millions of active users. We consider that ‘Let’s meet’ may have major impact and the scope to reach over millions.
As all PIM projects we are mentoring ( acronym for "Projet d'integration mobile"), this project is made by 4 engineering students coached by one mentor. We are 10 Associate professors/R&D engineers mentoring 120 engineering students per year.
The basic idea is to realize a portable and assisted 3D scanner to be used where it is difficult to reach and navigate rooms and places.
With modern technology becoming obsolete in cyber security, we need to come up with innovative ideas to increase the notch up in the fight against unauthorized access to our information and data. I will be taking help of Theano,Torch,Microsoft CNTKA framework to start with and then modify the implementation as i move in later stages of the project. I will be trying to modify various protection algorithms and try to come up with a ML algorithm that takes help of deep learning frameworks. I will also be taking help of Gensim to validate my data collection as efficiently as possible. The changes to encryption and decryption techniques will be studied thoroughly in later stages. In a manner where DNA cannot be replicated , similarly developing a neural network net around my algorithm against network intrusion will be the deciding factor in the efficiency of the modified algorithm. I will also taking help of Apache Hadoop in analyzing my stored data from cyber attacks and storing the result of my predicament in Apache Spark to make real-time decisions. The main problem in using machine learning algorithms in cyber security is the creation of an overhead which has an adverse effect on algorithm's performance. To eliminate it to a appreciable stage I will be taking help of BlueData without any changes to Hadoop or Spark framework. Finally the performance of the algorithm will be tested with the help of BigBench kit to get a full report on the project.
Implementation of machine learning in cyber security.
working on the future of AI.
um app com player que transmita as ondas de uma url de uma web radio
Hi, I'm working on vehicular activity recognition and location identification using low power sensors usually present in smartphones and smartwatches.
A new introductory video animation for the new social gesture "Fike" which is Face-to-Face "Like"
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