Government
Word Space
Representations for semantic information about words are necessary formany applications of neural networks in natural language processing. This paper describes an efficient, corpus-based method for inducing distributed semantic representations for a large number ofwords (50,000) from lexical coccurrence statistics by means of a large-scale linear regression. The representations are successfully appliedto word sense disambiguation using a nearest neighbor method. 1 Introduction Many tasks in natural language processing require access to semantic information about lexical items and text segments.
Efficient Pattern Recognition Using a New Transformation Distance
Simard, Patrice, LeCun, Yann, Denker, John S.
Memory-based classification algorithms such as radial basis functions orK-nearest neighbors typically rely on simple distances (Euclidean, dotproduct ...), which are not particularly meaningful on pattern vectors. More complex, better suited distance measures are often expensive and rather ad-hoc (elastic matching, deformable templates). We propose a new distance measure which (a) can be made locally invariant to any set of transformations of the input and (b) can be computed efficiently. We tested the method on large handwritten character databases provided by the Post Office and the NIST. Using invariances with respect to translation, rotation, scaling,shearing and line thickness, the method consistently outperformed all other systems tested on the same databases.
Benchmarks, Test Beds, Controlled Experimentation, and the Design of Agent Architectures
Hanks, Steve, Pollack, Martha E., Cohen, Paul R.
The methodological underpinnings of AI are slowly changing. Benchmarks, test beds, and controlled experimentation are becoming more common. Although we are optimistic that this change can solidify the science of AI, we also recognize a set of difficult issues concerning the appropriate use of this methodology. We discuss these issues as they relate to research on agent design. We survey existing test beds for agents and argue for appropriate caution in their use. We end with a debate on the proper role of experimental methodology in the design and validation of planning agents.
Applied AI News
This project has entered into a joint agreement agreements with Nestor Inc. (Providence, will involve simulating fires in buildings with software giant Microsoft Corp. R.I.) to institute pilot projects and assessing how a VR system as the first step toward installing (Redmond, Wash.) that will enable Planet is an expert system that individual cardholders and banks provides strategic and detailed planning against losses due to fraud, making for financial audits. It produces Bank Bandeirantes (Sao Paulo, Brazil) use of neural networks to learn a cardholder's risk assessments for a variety of financial has teamed up with another Brazilian pattern of credit card use. Venus is a flowcharting tool analysis expert system that operates in Cal.) will team up with VRl Entertainment for auditors who specialize in auditing real-time. The intelligent system has Inc. (Boulder, Colo.) to computer systems running deliver virtual reality to the home via helped the bank experience dramatic SIRIUS (SWIFT's Intelligent examines in detail a P 1 the key AI technologies: telecommunications operators Contact Lionheart Publishing system supervises the 150 switches Inc,2555 Cumberland Parkway, an event manager and hypertext Suite 299, Atlanta, GA 30339, (404) 434-manuals, and fields hundreds of telephone and 350 connections that make up 2187, FAX: (404) 432-6969. Wash.) have teamed up to develop Intelligent Alarming, which integrates Metropolitan Federal Bank (Edina, Mitek Systems (San Diego, Cal.) has industrial automation software Minn.) has deployed an automated completed a test phase for an automatic with an expert system.
Research Workshop on Expert Judgment, Human Error, and Intelligent Systems
This workshop brought together 20 computer scientists, psychologists, and human-computer interaction (HCI) researchers to exchange results and views on human error and judgment bias. Human error is typically studied when operators undertake actions, but judgment bias is an issue in thinking rather than acting. Both topics are generally ignored by the HCI community, which is interested in designs that eliminate human error and bias tendencies. As a result, almost no one at the workshop had met before, and the discussion for most participants was novel and lively. Many areas of previously unexamined overlap were identified. An agenda of research needs was also developed.
The Applied AI Business
Remember, these are only the winners. It is reducing customers' software (KBS) vendor were touted as a natural fit for AI I think It is interesting to note that other $200,000 in personnel costs; other not. I believe it is more a sign of the AI techniques, beyond traditional benefits include increased product (downsizing) times and the need for representation and reasoning, are sales from higher customer satisfaction increased visibility for the conference. In I saw many good signs at the conference systems. In particular are multiple addition, AT&T reports increases in that applied AI is alive and uses of fuzzy logic, case-based reasoning, the quality of work produced and job healthy.
Tennessee Offender Management Information System
Parole board date order received three different parole dates. On the changes, probation judgments, and new laws earliest of these parole dates, he would be eligible and sentencing guidelines enacted each year for release from prison to serve the remainder by the state legislature also affect sentence calculations. of his sentence in the community. Finally, Because offenders are often sentenced because of overcrowding in the prison, Doe under multiple laws, these changes can received a safety valve date, which is a fraction create a complex equation for judges and of his time to serve until parole.
Member's Forum
Heher, Dennis, Hayes-Roth, Barbara, Korf, Richard, Patel-Schneider, Peter F., Grosz, Barbara J.
We have expanded review criteria for the technical program, effectively increasing the number of ways in which a submitted paper can qualify for acceptance. Most importantly, we have revised the review procedure to encourage acceptance of a larger number and broader range of papers, as discussed below.
Applied AI News
Nestor Inc. (Providence, R.I.) and Intel Corp. (Santa Clara, Cal.) have The US Army Research Lab and the Knowledge Engineering Group of the US delivered the first samples of a Army Ordnance Center and School (Aberdeen Proving Grounds, Md.) have jointly developed, second-generation developed a visual expert system for diagnostics of the Ml tank's turbine engine. A visualization of the East Quayside area, including landscaping, American Medical Laboratories the road network, buildings, and the Tyne Bridge landmark, is being created (Chantilly, Va.) has implemented as a virtual world. Prospective tenants and purchasers will be able to three speech recognition systems to experience a "walk through" of the buildings. Togai InfraLogic (Irvine, Cal.) has been awarded a Phase II Small Business Innovation The three VoicePath systems, developed Research (SBIR) grant by NASA Johnson Space Center to study fuzzy by Kurzweil AI (Waltham, logic control for improving performance of thermal control systems, including Mass.), contain a 50,000-word dictionary, industrial applications such as air conditioning and energy control. Their research is aimed at helping manufacturers Sciaky (Chicago, Ill.), a developer improve their products while trimming production and retooling costs.