The San Diego Chapter of the American Statistical Association (SDASA) will be hosting a One-day mini-conference in San Diego (at...
The San Diego Chapter of the American Statistical Association (SDASA) will be hosting a One-day mini-conference in San Diego (at the Pfizer campus in La Jolla, just north of UCSD) on March 8.
Brainlike will present its new ADK software for educational purposes.
In July, 2016, an interview with the Brainlike CEO, entitled “Using Drone-based Sensing to Reduce Total Operating Cost and Create a Strong ROI” was published in Commercial UAV News.
In July, 2016, Brainlike completed delivery of special-purpose triage products for detecting marine mammals to Shell Oil and LGL Alaska Research Associates. The products were delivered as conventional computers with “Brainlike triage inside.” The products produce sub-images highlighting marine mammals within thousands of high resolution photos, shot from manned and unmanned aircraft.
In 2015, the Brainlike CEO led a presentatiion session at the Commercial UAV Expo in Las Vegas, entitled ” Automatic Event Detection from UAS Data: Commercial Prospects and Technical Challenges.” He presented similar papers at UAS Mapping meetings in Reno, and UAS Alaska Interest Group meetings in Fairbanks.
In 2013 and 2014, Brainlike refined and delivered special-purpose versions of PixMin™ software for uses ranging from ocean capillary wave monitoring to airborne marine mammal detection.
January, 2012: Brainlike’s patent entitled, “Efficient Processing in an Auto-Adaptive Network” has recently been issued as U.S. Patent #8,069,132. The patent discloses the unique, novel, and valuable capacity of our auto-adaptive process to extract useful information from sensor data, prior to transmission.
January, 2011: Brainlike’s patent entitled, “Auto-Adaptive Network for Sensor Data Processing and Forecasting” has recently been issued as U.S. Patent No. 7,877,337. The patent covers efficient methods for forecasting sensor-based time series and geo-spatial data, in real time.
November 5, 2010: We have submitted a major patent for Brainlike Pixel Minder (PixMin) technology, which is described in our white paper, entitled “Brainlike Technology Reduces Data Overload.”
We have submitted a major patent for filtering, reducing, and reproducing voice and other time series data, with many cell phone and remote sensor applications.
Industry leader John Major has joined our Advisory Board.
As invited Technology Fair participants in the Global Smart Services Leadership Summit, sponsored by Qualcomm, we gave a well received demonstration of Brainlike wireless data reduction value,.
We have recently begun a series of reports on measuring smart sensing value. The first report is entitled, “Measuring Smart Sensor Value: a human health monitoring example.” Please check it out.
We have recently completed a white paper describing smart sensor engineering, based on Brainlike technology. more
Brainlike’s enabling technology patent entitled, “Efficient Processing for an Auto-Adaptive Network,” has recently been issued as U.S. Patent No. 7,529,721. The patent covers Brainlike Sensing applications that will reside on cell phones, radios, and remote sensor transmitters, upstream of telemetry. Several other Brainlike patents are pending in the U.S. and other countries.
Brainlike sensing has been identified as key enabling technology for the Wireless Internet Revolution. more
Brainlike’s smart sensing short course will equip engineers and analysts to develop, deliver, and use smart sensing technology for making better decisions from real-time data. more
Brainlike’s smart sensing analysis team has recently completed a case study, based on accelerometer data. The case study shows that, “sensor system engineers should consider using smart sensing modules and analysis tools, in order to develop and deploy more robust sensing systems, more quickly, and at lower cost.” more
Brainlike analysts co-authored papers presented at the March, 2009 Joint Undersea Warfare Technology Conference in San Diego, entitled “Recent Smart Sensing Developments: Undersea Warfare Surveillance Prospects,” and “Smart Sensing Analysis using Advanced Process Build Methods: A Case Study based on IEER data.”
In June, 2008, we won a Phase II contract for “Auto-Adaptive Whale Detection,” through the Naval Air Systems Command (NAVAIR) Scientific Business Innovation Research (SBIR) program. Details are provided below.
In March, 2008, we sold a license for the Brainlike Studio™ analytics tool kit, along with training and analysis services, to the office of Naval Research. The product and services will be used for clutter map analysis of sensor data from unmanned vehicles.
In February, 2008, we sold a license for the Brainlike Studio™ analytics tool kit to the office of Naval Research. The product will be used to analyze electro-optic surveillance data from unmanned aerial vehicles.
In December, 2007, we won a Phase I option contract for “Auto-Adaptive Whale Detection” through the Naval Air Systems Command (NAVAIR) Scientific Business Innovation Research (SBIR) program. Details are provided below.
In November, 2007, we won a Phase II option contract for “Clutter Removal and Substantially Improved Submarine Detection, through Affordable ‘Brainlike’ Methods,” through the Naval Air Systems Command (NAVAIR) Scientific Technology Transfer (STTR) program. Details are provided below.
In October, 2007, we won a Phase II option contract for “Clutter Removal and Substantially Improved Submarine Detection, through Affordable ‘Brainlike’ Methods,” through the Naval Air Systems Command (NAVAIR) Scientific Technology Transfer (STTR) program. Details are provided below.
In April, 2007, we won a Phase I contract for “Auto-Adaptive Whale Detection” through the Naval Air Systems Command (NAVAIR) Scientific Business Innovation Research (SBIR) program. The objective of the SBIR topic is to develop innovative technologies to search anti-submarine warfare (ASW) test ranges for the presence of whales. This contract will deliver such methods in the form of a process that is being refined by Brainlike Surveillance, Inc. Results will prove the feasibility of a special-purpose system, based on the Brainlike process, for improving the effectiveness of whale search radar (WSR). Brainlike will develop a prototype for a special-purpose system, based on the Brainlike process, and evaluate its clutter removal potential. The system will be developed by analyzing radar data containing heavy-tailed noise, extracting features within the Brainlike process framework, and evaluating the potential for Brainlike added value in terms of clutter and processing time reduction. As part of the effort, the prototype will be delivered to the Navy in the form of a demonstration, simulation, and research tool. Doing so will allow the Navy to research and evaluate its potential for a variety of other remote sensing applications. Brainlike subcontractors for the effort include DRS Technologies.