Ever since Samsung decided to come up with the Samsung Galaxy S3 mini to keep company its previous flagship, the Samsung Galaxy S3, and making some success out of the situation, I guess the folks over at Samsung were more than encouraged to roll out more variants of the Samsung Galaxy S4 such as the Samsung Galaxy S4 Active and the Samsung Galaxy S4 mini, where neither have officially hit the market just yet, although where the latter is concerned, we have already seen images of it leaked for some time now. Here we are with leaked benchmark results of the device, and it so happens that the new result points toward a Qualcomm chipset instead of the expected Exynos 5 which made its rounds in earlier whispers.
Obviously, it cannot be released with both chipsets at the end of the day, so one of the rumors are obviously fake. There is, however, a possibility that Samsung could very well have a sudden change of heart and roll out a pair of different versions. The leaked benchmark points to 960 x 540 pixel display, with a 1.7GHz dual-core Krait processor and an Adreno 305 GPU to keep it going, running on Android 4.2 Jelly Bean as the operating system of choice alongside Bluetooth 4.0, GPS support and dual-band Wi-Fi 802.11n connectivity.
Seen at: technodify
How many of you would love to own a self-driving car? Well, some of us might put up our hands, while others could very well figure out that a self-driving car is not something they would look forward to, sitting in one as a passenger, since they would pretty much prefer to have things in their own hands. Thing is, this enterprising 19-year-old high-school student from Romania has managed to work on an artificial intelligence system for self-driving cars which could cut down on the cost of such technology, and he even went away with the top gong of a scholarship amounting to $75,000 scholarship last Friday at an international science and engineering fair.
Ionut Budisteanu did explain the situation surrounding his system, “The most expensive thing from the Google self-driving car is the high resolution 3-D radar, so I was thinking how I could remove it.” His solution? By relying on processing webcam imagery using artificial intelligence technology in order to select curbs, lane markers, and even soccer balls which happen to roll across the road. When this is merged with data from a low-resolution 3-D radar that is capable of recognizing “big” objects such as other cars, houses, and trees, you’ve got a winner here. Compare his $4,000 system to Google’s $75,000 system and you can see where he intends to go with this.
Seen at: nbcnews