Ready for the next-generation of smartphones? NVIDIA, in tandem with long-time partner Microsoft, introduced the NVIDIA APX 2500, an applications processor they say will deliver video power for a new era of Windows Mobile-enabled smartphones.
• The industry’s first HD (720p) playback and capture capability for handheld devices;
• An ultra-low power (ULP) GeForce core that is fully compliant with OpenGL ES 2.0 and Microsoft Direct3D Mobile, providing a low-power 3D solution for acceleration of 3D user interfaces;
• NVIDIA nPower technology, which minimizes power consumption in active mode, enabling over 10 hours of high-definition video playback and up to 100 hours of audio—a benchmark NVIDIA claims is more than four times the audio playback of the latest tough-screen phones;
• Support for connectivity and media acceleration technologies to enable the latest Web 2.0 applications.
The APX 2500 application processor is sampling now with key customers and will enter full production by Q2 2008.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.