Android Guys rounded up some show stoppers that use mobile voice dictation at the Mobile World Congress show.
Nuance known for the Dragon Dictation for iPhone, is also releasing speech recognition for Android. They are currently working directly with operators but you may see their products very soon.
Charbax (above) discovers that Nuance uses the cloud to process and improve the voice recognition efficiency.
Another interesting voice application is Dial2Do. You call in to their hub, then request commands via voice. You can dictate a message, then send it as a text message. Their Android application lets you listen to text messages (free version) or access to all services with a paid subscription.
Below is translation in the Google Goggles prototype, using cloud servers to translate pictures of text into another language.
Google is interested in new applications developed for their proposed Gigabit test networks.
Imagine sitting in a rural health clinic, streaming three-dimensional medical imaging over the web, and discussing a unique condition with a specialist in New York. Or downloading a high-definition, full-length feature film in less than five minutes. Or collaborating with classmates around the world while watching live 3D video of a university lecture. Universal, ultra high-speed Internet access will make all this, and more possible.
Supercomputer scientist Dan Reed notes that Microsoft and the U.S. National Science Foundation (NSF) have announced a collaborative project where Microsoft will offer individual researchers and research groups free access to advanced client-plus-cloud computing. Their focus is on empowering researchers via cloud access to supercomputing.
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of CPUs, GPUs, and other processors. OpenCL is analogous to the open industry standards OpenGL and OpenAL, for 3D graphics and computer audio, respectively. OpenCL extends the power of the GPU beyond graphics.
At SC09, nVidia was in everything. Nvidia says Tesla server clusters deliver 10 times the performance than CPU-based clusters while consuming less power. Their CUDA parallel computing architecture powers 240 parallel processing cores in each Tesla processor. At the show nVidia announced the Fermi featuring up to 512 CUDA cores. nVidia’s RealityServer brings complex 3D graphics to virtually any netbook or smartphone by crunching numbers on a server.
Magnetoencephalography and medical imaging, LIDAR, spectrometry, sensory augmentation and semantics-based perceptual tools might become cost/effective for applications in remote sensing, intelligent transportation, DNA analysis and artificial intelligence using modular, open architecture — with 100Mbps speeds — even on femtocells.
G.E. is talking up their handheld medical devices during their Olympic advertising, but 1 Gbps networks will surely enable much more cloud-based instrumentation.
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