New Technologies

Neuromarphic chips

Neuromorphic engineering, also known as neuromorphic computing, is a concept developed by Carver Mead,[citation needed] in the late 1980s, describing the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. In recent times the term neuromorphic has been used to describe analog, digital, and mixed-mode analog/digital VLSI and software systems that implement models of neural systems (for perception, motor control, or multisensory integration).

A key aspect of neuromorphic engineering is understanding how the morphology of individual neurons, circuits and overall architectures creates desirable computations, affects how information is represented, influences robustness to damage, incorporates learning and development, adapts to local change (plasticity), and facilitates evolutionary change.

Neuromorphic engineering is a new interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science and electronic engineering to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are based on those of biological nervous systems.

                                                             oculus rift

The Rift is an upcoming virtual reality head-mounted display, being developed by Oculus VR. During its period as an independent company, Oculus VR raised US$2.4 million for the development of the Rift.

The consumer version of the product is expected to become available sometime in 2015.Oculus released two 'development kits', DK1 in late 2012 and DK2 in mid 2014, to give developers a chance to develop content in time for the Rift's release; these have also been purchased by many virtual reality enthusiasts for general usage.

                           

                                       Drones For Agricultural Crop Surveillance

• Increase Yields
  • Find potentially yield limiting problems in a timely fashion.
• Save Time
  • While all farmers know the value of scouting their crops few actually have time to cover the acres on foot.
• Return on Investment
  • Over the past 10 years the grower has seen $900-$1,100 gross sales per acre.  With the Pacesetter on our own operation we have seen an average increase of 10% leaving the grower with just a 250 acre payback period on the Pacesetter in commercial corn.
• Ease of use
  • Agriculture drones or UAV products can be very complex to set-up and operate, but with our preset standards we allow new operators to have confidence in operating from the beginning.
• Integrated GIS mapping
  • Draw field borders for flight pattern
• Crop Health Imaging
  • Seeing the true health of your field in a color contrast allows you to see how much sunlight is being absorbed by the crop canopy.
• Failsafe - The Drone Flies Home
• As an added safety net with the flip of switch your Precision Drone™ will return to its original takeoff location

      Ultraprivate smartphone

New models built with security and privacy in mind reflect the Zeitgeist of the Snowden era. On January 21 a text message flashed on phones held by the protesters thronging Kiev’s Independence Square.

Opencv

•OpenCV is an Image Processing library created by Intel and maintained by Willow Garage.

•Available for C, C++, and Python

•Newest update is version 2.2

•Open Source and free

•Easy to use and install

Installation Instructions

• For Mac OS X.   Simply install Mac Ports then type       sudo port install opencv 

• Do not use synaptic on Linux to install OpenCV.     It is version 1.2.

•For Linux and Windows, follow the installation guide at  http://opencv.willowgarage.com/wiki/InstallGuide

•Linux users can come to me for help. I have built it on Ubuntu dozens of times. I have built it successfully on Windows once.

•Make sure to read the beginning as it gives you precise commands to install ffmpeg, libavformat-dev, libswscale-dev, and other required libraries

BASIC OPENCV STRUCTURES

• Point, Point2f - 2D Point 

• Size - 2D size structure

 • Rect - 2D rectangle object 

• RotatedRect - Rect object with angle 

• Mat - image object

Functions

•- Mat.at<datatype>(row, col)[channel] - returns pointer to image location

- Mat.channels() - returns the number of channels

- Mat.clone() - returns a deep copy of the image

- Mat.create( rows, cols, TYPE) - re-allocates new memory to matrix

- Mat.cross(<Mat>) - computes cross product of two matricies

- Mat.depth() - returns data type of matrix

- Mat.dot(<Mat>) - computes the dot product of two matrices