Patents received May 8:

Fluorous Technologies Inc., for "Fluorous triphasic reaction and separation processes for the generation of enantioenriched alcohols, amines, carboxylic acids and related compounds, No. 7,214,819." Inventors were Dennis Patrick Curran, Pittsburgh, and Zhiyong Luo, San Diego. The present invention relates to fluorous triphasic reaction and separation processes and, especially, to the applications of these processes to the resolution of racemic or partially enantiopure organic compounds such as alcohols, amines, carboxylic acids and derivatives of carboxylic acids.

Mitsubishi Electric Research Laboratories Inc., for "Object space EWA splatting of point-based 3D models, No. 7,215,340." Inventors were Hanspeter Pfister, Arlington, Mass.; Liu Ren, Pittsburgh; and Matthias B. Zwicker, Gerlikon, Switzerland. The present invention relates generally to rendering graphics models, and more particularly to rendering point-based 3D surface models with surface splatting in a graphics hardware rendering engine.

Carnegie Mellon University, for "MEMS digital-to-acoustic transducer with error cancellation, No. 7,215,527." Inventors were John J. Neumann Jr. and Kaigham J. Gabriel, both of Pittsburgh. The present invention broadly relates to acoustic transducers and, more particularly, to a digital audio transducer constructed using microelectromechanical systems (MEMS) technology.

Lockheed Martin Corp., for "Method and apparatus for infrared data communication, No. 7,215,887." Inventors were Noah J. Ternullo, Pittsburgh; Nader Mehravari, Ithaca, N.Y.; and Patrick H. Madden, Owego, N.Y. The present invention relates generally to the field of wireless data communications and more particularly to XML based wireless data communications for facilitating context sensitive computing.

SpeechWorks International Inc., for "Method and apparatus for discriminative training of acoustic models of a speech recognition system, No. 7,216,079." Inventors were Etienne Barnard, Pittsburgh, and Jean-Guy Dahan, Brookline, Mass. The present invention relates generally to improving performance of automatic speech recognition systems, and relates more specifically to an improved discriminative training approach for acoustic models of a speech recognition system.