Read a recent press release from UQ about EMI, TMG and related company, Diabetes Neuromathix in the IBM Watson AI XPRIZE.
Team MachineGenes is now listed as one of the top-10 teams worldwide in the running for the IBM Watson AI XPRIZE. Out of 147 approved teams (plus a wildcard) in 2017, only 30 teams remain after successive rounds of expert peer review. Team MachineGenes is the only team left in the world outside Europe and North America.
The Australian and Singaporean Patent Offices have now granted patents for our evolutionary AI.
Team MachineGenes is one of 59 teams to have advanced to Round 2 of the IBM Watson XPRIZE. Read more here.
Team MachineGenes is now one of 147 teams, selected out of a total of 683 applicants, in the running for the IBM Watson AI XPRIZE after a peer-review by world experts in AI.
EMI was awarded an Ignite Grant by the Queensland Government!
TMG presented at the Myriad Conference hosted in Brisbane on the 31st of March.
EMI patent application enters national phase in USA, Canada, Europe, Hong Kong, Singapore and Australia.
A brief profile on EMI and TMG by Engineers Australia [...]
EMI has received funding under the Queensland Government's Knowledge Transfer Partnerships program to employ a postdoctoral researcher to build and demonstrate a modelling tool for aviation engines, to significantly reduce engine maintenance costs and risks.
The EMI/TMG website was re-released today! Watch this space for more updates on our capabilities, applications, press releases and projects [...]
We celebrated a job win from a globally eminent client.
Evolving Machine Intelligence was last night awarded Winner of the Anthill Cool Company - Innovation Category out of 100 finalists in the Anthill Top 100 Cool Company list [...] See ilab's associated post and Tweet. See release by QLD Startup Showcase.
The International Examiner has issued its preliminary finding, ruling all 70 claims of the EMI patent application (at PCT stage) to be globally novel and inventive.
International (PCT) patent pending for new forms of evolutionary/swarm-intelligent reconstruction and machine-intelligent adaptive control of complex, highly-nonlinear dynamical systems, using noise-polluted partial information.