The power of feedback.

Open Innovation: The New Imperative for Creating and Profiting from Technology

The Rise of the Creative Class

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

Creativity: Flow and the Psychology of Discovery and Invention

A system (100, 200) for tokenization and named entity recognition of ideographic language is disclosed In the system, a word lattice is generated for a string of ideographic characters using finite state grammars (150) and a system lexicon (240) Segmented text is generated by determining word boundaries in the string of ideographic characters using the word lattice dependent upon a contextual language model (152A) and one or more entity language models (152B) One or more named entities is recognized in the string of ideographic characters using the word lattice dependent upon the contextual language model (152A) and the one or more entity language models (152B) The contextual language model (152A) and the one or more entity language models (152B) are each class-based language models The lexicon (240) includes single ideographic characters, words , and predetermined features of the characters and words

System for chinese tokenization and named entity recognition

Method and apparatus for handwriting recognition system for ideographic characters and other characters based on subcharacter hidden Markov models. The ideographic characters are modeled using a sequence of subcharacter models and by using two-dimensional geometric layout models of the subcharacters. The subcharacter hidden Markov models are created according to one embodiment by following a set of design rules. The combination of the sequence and geometric layout of the subcharacter models is used to recognize the handwriting character.

Methods and apparatuses for handwriting recognition

This paper relates to the use of knowledge-based signal processing techniques in the decomposition of EMG signals. The aim of the research is to automatically decompose EMG signals recorded at force levels up to 20 per cent maximum voluntary contraction (MVC) into their constitutent motor unit action potentials (MUAPS), and to display the MUAP shapes and firing times for the clinician. This requires the classification of nonoverlapping MUAPs and superimposed waveforms formed from overlapping MUAPs in the signal. Nonoverlapping MUAPs are classified using a statistical pattern-recognition method. The decomposition of superimposed waveforms uses a combination of procedural and knowledge-based methods. The decomposition method was tested on real and simulated EMG data recorded at force levels up to 20 per cent MVC. The different EMG signals contained up to six motor units (MUs). The new decomposition program classifies the total number of MUAP firings in an EMG signal with an accuracy always greater than 95 per cent. The decomposition program takes about 15 s to classify all nonoverlapping MUAPs in EMG signal of length 1·0 s and, on average, an extra 9s to classify each superimposed waveform.

New signal processing techniques for the decomposition of EMG signals.

[Abstract] Office work has traditionally been associated with administrative and intellectual production. The demand for more timely information and a quest for ever greater productivity has led to the changes in the workspace through the centuries. Our workplaces have become more functional and productive, but also subsequently places of interaction and socialization, where the human dimension have emerged gradually. At a time when the mantra `innovate or die` and `find the next big thing` rings uncomfortably in company CEO`s ears, designers need to change the office layouts to help promote interactions and encourage serendipity amongst creative employees. This in turn needs different forms of organizational corporate culture that supports collaborative work. Companies on the creative edge need to establish rich and diverse in-house office environments that provide a level of comfort and a wide range of facilities where creative work can be done in a collaborative way through exercising considerable judgement and intelligence. This paper proposes that these offices should be more than just shared open-plan offices they need to be spaces used by a diverse group of people (co-workers) for collaboration, community building and idea sharing. Originally, the term ‘co-working space’ refers to a new shared working environment for freelancers and other location-independent professionals who are tired of the isolation of their home offices and the distraction of their local coffee shops. However the paper proposes that the model used for co-working spaces can also be applied to company environments in order to boost creativity and innovation. To see whether this option is profitable for R&D activities, the co-working values (collaboration, community, sustainability, openness and accessibility) can be used as a guide for where to set up such spaces; how to operate on a daily basis; and how to stimulate employees’ creativity. In this paper the key values will be discussed from a practical perspective and used for the understanding of how these principles can be applied to R&D workspaces in companies to encourage creative behaviour and support innovative projects.

Gareth Loudon

Papers

System for chinese tokenization and named entity recognition

Methods and apparatuses for handwriting recognition

New signal processing techniques for the decomposition of EMG signals.

New in-house organizational spaces that support creativity and innovation: the co-working space

Coworking in the digital economy: Context, motivations, and outcomes