Abstract: A method of processing a signal to infer a information encoded in the signal, measuring characteristics of the signal, making an estimate of the information from measured signal characteristics, using an expanded set of information, the expanded set of information being correlated to the measured signal characteristics, determining an update rule and applying the update rule to the expanded set of information to generate an inferred set of information representative of that encoded in the signal. The method may be used in many applications, for example inferring information in CDMA signals, learning in an Ising perceptron and lossy compression.

Abstract: The ventilation support for laptop computers provides support for a laptop computer on an uneven or soft surface to allow improved air circulation for the cooling of the laptop computer. The ventilation support for laptop computers includes a flat, planar panel generally matching the bottom surface dimensions of the laptop computer. A front edge of the panel is hinged to the front edge of the bottom surface of the laptop computer. One or more collapsible support members join a rear portion of the panel to a rear portion of the bottom surface of the laptop computer. The collapsible support members will support the laptop computer above the panel in the open position during use, but readily collapse to allow the panel to be placed into the closed position for storage. The collapsible support member(s) may be rigid and unitary, or articulated.

Abstract: A game combines two forms of communication, which, in preferred embodiments, are acting and drawing. In those embodiments, certain players try to act ideas presented on cards to drawers, who use dry-erase boards to draw, for different ends based on the specific embodiment.

Abstract: A method of embedding a message vector (m) in a data set. The method is domain independent and comprises the steps of (I) performing a transformation (W) on a first data set (x) to produce a second data set (S), the second data set (S) consisting of a plurality of statistically mutually independent components (independent sources), (ii) selecting from the second data set (S) a subset of data components (V) which constitutes an embedding space (feature space) in which the message vector (V) is to be embedded, (iii) modifying the data subset (V) in a predetermined manner according to the message vector (m) to be embedded, whereby to embed the message vector (m) in the second data set (S), and (iv) performing a reverse transformation (A) on the second data set having the message vector embedded therein (?) to reproduce the first data set now having the message embedded therein (x, watermarked text).