Poster KAKOM 2012

Original 

Neon Glow 

Edited 

Black & White

Baby Who survive 7-stories Fall

In November 2010 a 15-month-old baby girl survived a seven story fall after she bounced off an awning into the arms of a man in Paris. The tot had been playing unsupervised with her older sister when she fell out of the window. A young man saw the baby starting to fall and alerted his father, who raced to get into position, arms outstretched, to catch her after she hit the awning. “He must have played rugby for years to have developed reflexes like that,” a bystander reported.

The baby was lucky: normally the cafe owner closes the awning because people throw their cigarette butts on it. The baby girl is in the hospital, but is virtually unscratched.

Amazing Photos

A waterfall located in Florida.

Creative usage of tissue rolers.

Skyscrapers over the cloud.

Military Professional Drill

The right moment of lightning captured.

Amazing photo of Cambodian hill paddy field.

Amazing firework show at a great city.

Lightning went crazy.

 Greatest show on Earth.

Fantastic show of lightning.

Amazing road in Italy.

Happy Eid..!!

Happy Eid to All Muslim Around the World :)

Google Builds Artificial Brain Which Can Recognize A Cat

The Google X laboratory has invented some pretty cool stuff: refrigerators that can order groceries when your food runs low, elevators that can perhaps reach outer space, self-driving cars. So it’s no surprise that their most recent design is the most advanced, highest functioning, most awesome invention ever… a computer that likes watching YouTube cats?
Okay, it’s a bit more advanced than that. Several years ago, Google scientists began creating a neural network for machine learning. The technique Google X employed for this project is called the “deep learning,” a method defined by its massive scale. In layman’s terms, they connected 16,000 computer processors and let the network they created roam free on the Internet so as to simulate a human brain learning.
Stanford University computer scientist Andrew Y. Ng, led the Google team in feeding the neural network 10 million random digital images from YouTube videos. The machine was not “supervised,” i.e. it was not told what a cat is or what features a cat has; it simply looked at the data randomly fed to it. Ng found that there was a small part of the computer’s “brain” that taught itself to recognize felines. “It basically invented the concept of a cat,” Google fellow Jeff Dean told the New York Times.
So Google may have created a machine that can teach itself. But what Ng and his team have done is not as new as you may think. Over the years, as the scale of software simulations has grown, machine learning systems have advanced; last year, Microsoft scientists suggested that the “deep learning” technique could be used to build computer systems to understand human speech. This Google X machine is the cream of the crop—twice as accurate as any other machine before it. However, “it is worth noting that our network is still tiny compared to the human visual cortex,” the researchers wrote, “which is a million times larger in terms of the number of neurons and synapses.”
After “viewing” random pictures from random YouTube videos, the neural network created a digital image of a cat based on its “memory” of the shapes it saw in the images. The cat the computer created is not any specific cat, but what the computer imagines to be a cat. Plato had his Forms, and now Google has its computer-generated cat image.

Brietling Emergency Watch

RM 230.00

*suitable for pilot and aircrew.
*build-in with 121.5 MHz freq for aircraft emergency search.
*Broadcast the signal up to 48 hours with 100 miles range.

Tag Heuer Monaco V4 Limited Edition

RM 470.00

*Automatic Belt-Driven Watch

*Case: Polished Platinum 950
*Case Length: 48.90mm

*Case Width: 43.40mm

*Thickness: 17.10mm

* Bevelled Sapphire Crystal Glass
*Water Resistant: 50m