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IKA Ilika Plc

27.90
-0.10 (-0.36%)
28 Mar 2024 - Closed
Delayed by 15 minutes
Share Name Share Symbol Market Type Share ISIN Share Description
Ilika Plc LSE:IKA London Ordinary Share GB00B608Z994 ORD 1P
  Price Change % Change Share Price Bid Price Offer Price High Price Low Price Open Price Shares Traded Last Trade
  -0.10 -0.36% 27.90 27.00 28.00 28.50 27.50 28.00 262,368 16:35:06
Industry Sector Turnover Profit EPS - Basic PE Ratio Market Cap
Coml Physical, Biologcl Resh 702k -7.3M -0.0459 -5.99 43.72M

Ilika plc Further information on TRI collaboration (0538B)

30/03/2017 2:30pm

UK Regulatory


Ilika (LSE:IKA)
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TIDMIKA

RNS Number : 0538B

Ilika plc

30 March 2017

Ilika plc

("Ilika" or the "Company")

TOYOTA RESEARCH INSTITUTE BRINGS ARTIFICIAL INTELLIGENCE TO THE HUNT FOR NEW MATERIALS WITH ILIKA

Ilika (AIM: IKA), a pioneer in materials innovation and solid-state battery technology, announces that Toyota Research Institute (TRI) has released further information relating to the collaboration Ilika announced on 9(th) March 2017.

The TRI announcement issued at 13:00 hrs UK time today reads as follows:

"The Toyota Research Institute (TRI) will collaborate with research entities, universities and companies on materials science research, investing approximately $35 million over the next four years in research that uses artificial intelligence to help accelerate the design and discovery of advanced materials. Initially, the program will aim to help revolutionize materials science and identify new advanced battery materials and fuel cell catalysts that can power future zero-emissions and carbon-neutral vehicles.

"Toyota recognizes that artificial intelligence is a vital basic technology that can be leveraged across a range of industries, and we are proud to use it to expand the boundaries of materials science," said TRI Chief Science Officer Eric Krotkov. "Accelerating the pace of materials discovery will help lay the groundwork for the future of clean energy and bring us even closer to achieving Toyota's vision of reducing global average new-vehicle CO2 emissions by 90 percent by 2050."

Initial research projects include collaborations with Stanford University, the Massachusetts Institute of Technology, the University of Michigan, the State University of New York at Buffalo, the University of Connecticut, and the U.K.-based materials science company Ilika. TRI is also in ongoing discussions with additional research partners.

"This represents a fantastic opportunity to drastically advance the use of databases and machine learning methods in materials discovery." Said Jens Norskov, Professor at Stanford University and director of the SUNCAT center. "The partnership combines theory, computation and experiment in an unprecedented, concerted effort. We are particularly excited by prospects for an avant-garde approach to catalyst development for fuel cells."

Research will merge advanced computational materials modeling, new sources of experimental data, machine learning and artificial intelligence in an effort to reduce the time scale for new materials development from a period that has historically been measured in decades. Research programs will follow parallel paths, working to identify new materials for use in future energy systems as well as to develop tools and processes that can accelerate the design and development of new materials more broadly.

In support of these goals, TRI will partner on projects focused on areas including:

   --     The development of new models and materials for batteries and fuel cells; 

-- Broader programs to pursue novel uses of machine learning, artificial intelligence and materials informatics approaches for the design and development new materials; and,

-- New automated materials discovery systems that integrate simulation, machine learning, artificial intelligence and/or robotics.

Accelerating materials science discovery represents one of four core focus areas for TRI, which was launched in 2015 with mandates to also enhance auto safety with automated technologies, increase access to mobility for those who otherwise cannot drive and help translate outdoor mobility technology into products for indoor mobility.

About Toyota Research Institute

Toyota Research Institute is a wholly owned subsidiary of Toyota Motor North America under the direction of Dr. Gill Pratt. The company, established in 2015, aims to strengthen Toyota's research structure and has four initial mandates: 1) enhance the safety of automobiles, 2) increase access to cars to those who otherwise cannot drive, 3) translate Toyota's expertise in creating products for outdoor mobility into products for indoor mobility, and 4) accelerate scientific discovery by applying techniques from artificial intelligence and machine learning. TRI is based in the United States, with offices in Los Altos, CA, Cambridge, MA, and Ann Arbor, MI. For more information about TRI, please visit www.tri.global."

For more information contact:

 
 Ilika plc                                                                 www.ilika.com 
 Graeme Purdy, Chief Executive                                        Tel: 023 8011 1400 
 Steve Boydell, Finance Director 
 Toyota Research Institute 
 John Hanson, Director, Communications                              Tel: +1.657.331.1291 
  & Public Affairs 
  Toyota Motor Sales, USA, Inc 
 Brian R. Lyons, Senior Manager-Advanced                            Tel: +1.310.468.2552 
  Technology Communications 
 Numis Securities Limited                                             Tel: 020 7260 1000 
 Oliver Cardigan/ Paul Gillam (Corporate 
  Adviser) 
 James Black/ Michael Burke (Corporate 
  Broking) 
 
 Walbrook PR Ltd                               Tel: 020 7933 8780 / ilika@walbrookpr.com 
 Paul Cornelius                                                       Mob: 07866 384 707 
 Lianne Cawthorne                                                     Mob: 07584 391 303 
 
 

This information is provided by RNS

The company news service from the London Stock Exchange

END

MSCEADDEDAAXEFF

(END) Dow Jones Newswires

March 30, 2017 09:30 ET (13:30 GMT)

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