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AMD Radeon R7 260 graphics accelerator

22.12.2013

AMD has announced the Radeon R7 260 graphics card, which will take an intermediate position between the $140 Radeon R7 260X and the $90 Radeon R7 250. Thus, the cost of new items should not exceed $110.

The presented video adapter belongs to the Bonaire family. It has 768 stream processors and 48 texture units. The core frequency of the chip is 1000 MHz, the frequency of 5 GB GDDR1 memory with a 128-bit bus is 6000 MHz.

For the Radeon R7 260, a 28-nanometer manufacturing technology is provided. Claimed performance reaches 1,54 Tflops (trillion floating point operations per second). DirectX 11.2 and OpenGL 4.3 APIs are supported. The maximum value of dissipated thermal energy is 95 W.

The novelty implements TrueAudio hardware sound processing technology. It takes care of complex audio calculations and subsequent mixing, regardless of the load on the processor or video accelerator. The TrueAudio chip is equipped with a variety of digital signal processors optimized for audio processing, supports the Tensilica HiFi2-EP instruction set and Tensilica Xtensa SP floating point calculations. Each core is equipped with 32 KB of instruction cache and 32 KB of data cache, as well as 8 KB of fast memory to speed up local operations. In addition, there is 384KB of shared cache on the chip, and the processor itself can address up to 64MB of GDDR5 memory.

The Radeon R7 260 graphics card will go on sale in mid-January 2014.

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Technique is controlled by thoughts 24.04.2013

A group of scientists and engineers from the University of Minnesota presented new results of their interesting work on the creation of thought control technologies. Previously, they have already demonstrated a virtual helicopter controlled by the power of thought. Now scientists are demonstrating well-mastered control of a real quadcopter, a wheelchair and prostheses. In the future, a new non-invasive brain interface (BCI) will allow you to interact with electronic devices without using buttons.

Until now, the most accurate neural interfaces use chips implanted in the brain. The disadvantages of this approach are clear: a traumatic operation, the risk of rejection and infection, and difficult modernization of the neural interface. Scientists at the University of Minnesota are developing a non-invasive interface that can provide the same clear brain scans as implantable interfaces. Such an interface will undoubtedly become a revolution in many areas of science and technology: from interaction with a smartphone to data exchange with an airliner control system.

Currently, the BCI of American scientists is a cap with electrodes and allows you to confidently control the ARDrone quadrocopter. With BCI, volunteers fly a small aircraft through hovering hoops with little to no error. Experiments show that the accuracy of the neural interface increases with prolonged use.

Also, scientists are testing the effectiveness of a non-invasive neural interface when driving a wheelchair and robotic tools that make life easier for paralyzed people. The developers have no doubt that in the future the neural interface will become one of the main ways to control equipment, with the greatest prospects for simple devices that do not require drilling of the skull.

Interestingly, last fall, Chinese scientists from Zheijiang University presented their own version of a neural interface capable of controlling a quadrocopter. It is capable of transmitting simple commands like "fly right" or "go higher". It is simpler than the Minnesota BCI and is assembled from commercially available components. In fact, it consists of a portable electroencephalograph and a wireless laptop.

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