RFI - 89303020NAB000005.pdf

89303020NAB000005

SOLICITATION, OFFER AND AWARD

4. TYPE OF SOLICITATION2. CONTRACT NUMBER 3. SOLICITATION NUMBER

7. ISSUED BY CODE 8. ADDRESS OFFER TO (If other than Item 7)

ORDER UNDER DPAS (15 CFR 700)

6. REQUISITION/PURCHASE NUMBER

NOTE: In sealed bid solicitations "offer" and "offeror" mean "bid" and "bidder".

NEGOTIATED (RFP)

SEALED BID (IFB)

5. DATE ISSUED

1. THIS CONTRACT IS A RATED RATING PAGE OF PAGES

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C. E-MAIL ADDRESS

EXT.NUMBERAREA CODE

B. TELEPHONE (NO COLLECT CALLS)A. NAME

10. FOR

INFORMATION

CALL:

CAUTION: LATE Submissions, Modifications, and Withdrawals: See Section L, Provision No. 52.214-7 or 52.215-1. All offers are subject to all terms and conditions contained in this solicitation.

(Date)(Hour) local timeuntildepository located in copies for furnishing the supplies or services in the Schedule will be received at the place specified in Item 8, or if hand carried, in the

SOLICITATION

9. Sealed offers in original and

PART IV - REPRESENTATIONS AND INSTRUCTIONS

OTHER STATEMENTS OF OFFERORS

EVALUATION FACTORS FOR AWARD

INSTRS., CONDS., AND NOTICES TO OFFERORS

REPRESENTATIONS, CERTIFICATIONS AND

LIST OF ATTACHMENTS

CONTRACT CLAUSES

PART III - LIST OF DOCUMENTS, EXHIBITS AND OTHER ATTACH.

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M SPECIAL CONTRACT REQUIREMENTS

CONTRACT ADMINISTRATION DATA

DELIVERIES OR PERFORMANCE

INSPECTION AND ACCEPTANCE

PACKAGING AND MARKING

DESCRIPTION/SPECS./WORK STATEMENT

SUPPLIES OR SERVICES AND PRICES/COSTS

SOLICITATION/CONTRACT FORM

PART II - CONTRACT CLAUSESPART I - THE SCHEDULE

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SEC. DESCRIPTION PAGE(S) (X) DESCRIPTION SEC. (X)

11. TABLE OF CONTENTS

18. OFFER DATE17. SIGNATURE

SUCH ADDRESS IN SCHEDULE.

IS DIFFERENT FROM ABOVE - ENTER

15C. CHECK IF REMITTANCE ADDRESS

EXT.NUMBERAREA CODE

15B. TELEPHONE NUMBER

(Type or print)AND

ADDRESS

OF

OFFEROR

CODE FACILITY

16. NAME AND TITLE OF PERSON AUTHORIZED TO SIGN OFFER15A. NAME

DATEAMENDMENT NO.DATEAMENDMENT NO.

and related documents numbered and dated):

amendments to the SOLICITATION for offerors

(The offeror acknowledges receipt of

14. ACKNOWLEDGEMENT OF AMENDMENTS

CALENDAR DAYS (%)30 CALENDAR DAYS (%)20 CALENDAR DAYS (%)10 CALENDAR DAYS (%)

(See Section I, Clause No. 52.232.8)

13. DISCOUNT FOR PROMPT PAYMENT

designated point(s), within the time specified in the schedule.

by the offeror) from the date for receipt of offers specified above, to furnish any or all items upon which prices are offered at the price set opposite each item, delivered at the

NOTE: Item 12 does not apply if the solicitation includes the provisions at 52.214-16, Minimum Bid Acceptance Period.

OFFER (Must be fully completed by offeror)

IMPORTANT - Award will be made on this Form, or on Standard Form 26, or by other authorized official written notice.

28. AWARD DATE

(Signature of Contracting Officer)

27. UNITED STATES OF AMERICA

25. PAYMENT WILL BE MADE BY

26. NAME OF CONTRACTING OFFICER (Type or print)

CODE 24. ADMINISTERED BY (If other than Item 7)

ITEM

(4 copies unless otherwise specified)

23. SUBMIT INVOICES TO ADDRESS SHOWN IN

41 U.S.C. 253 (c) ( 10 U.S.C. 2304 (c) (

22. AUTHORITY FOR USING OTHER THAN FULL AND OPEN COMPETITION:

21. ACCOUNTING AND APPROPRIATION20. AMOUNT19. ACCEPTED AS TO ITEMS NUMBERED

AWARD (To be completed by government)

CODE

06/10/2020

893030

Headquarters Procurement Services U.S. Department of Energy

MA-64

Forrestal Building 1000 Independence Avenue, SW Washington DC 20585

1300 ET 07/10/2020

Ewart S. Smith ewart.smith@hq.doe.gov

PAGE(S)

Ewart S. Smith

AUTHORIZED FOR LOCAL REPRODUCTION

Previous edition is unusable

STANDARD FORM 33 (Rev. 9-97)

Prescribed by GSA - FAR (48 CFR) 53.214(c)

12. In compliance with the above, the undersigned agrees, if this offer is accepted within _____0_________ calendar days (60 calendar days unless a different period is inserted

ITEM NO. SUPPLIES/SERVICES QUANTITY UNIT UNIT PRICE AMOUNT

NAME OF OFFEROR OR CONTRACTOR

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CONTINUATION SHEET

REFERENCE NO. OF DOCUMENT BEING CONTINUED PAGE OF

89303020NAB000005

(A) (B) (C) (D) (E) (F)

The Artificial Intelligence & Technology Office

(AITO), which was established to serve as the

Department of Energy’s (DOE) accelerator and coordinator of AI efforts in scientific discovery and technology innovation across the DOE enterprise, is issuing a Request for Information

(RFI) on AI Technologies that will Drive American

AI Leadership.

OPTIONAL FORM 336 (4-86)

Sponsored by GSA

FAR (48 CFR) 53.110

NSN 7540-01-152-8067

RFI TITLE: AI Technologies that will Drive American AI Leadership

Purpose: The Artificial Intelligence & Technology Office (AITO), which was established to serve as the Department of Energy’s (DOE) accelerator and coordinator of AI efforts in scientific discovery and technology innovation across the DOE enterprise, is issuing a Request for Information (RFI) on AI Technologies that will Drive American AI Leadership. The Executive Order on Maintaining American Leadership in AI clearly directs “The United States must drive technological breakthroughs in AI across the Federal Government, industry, and academia in order to promote scientific discovery, economic competitiveness and national security.”1 To maintain American leadership in AI, it is not enough to simply develop and adopt AI across DOE’s missions, it is imperative that DOE push the frontiers of AI technologies, creating the next generation architectures, infrastructure, tools and approaches. AITO is exploring ideas to help define future Grand Challenges that will ensure US leadership in AI, with responses sought from academia, industry and national laboratories.

Artificial Intelligence Technology Scope: AI technology spans topic areas including data, hardware, software, and platforms from the smallest sensors to the world’s most powerful supercomputers. For the purpose of this RFI, Artificial Intelligence technology landscape includes, but is not limited to:

• AI Methods o Novel Algorithm Development o Knowledge Based Systems based on Higher Order Logic o Natural Language Processing o Computer Vision o Generative and Adversarial AI

• Platforms, Infrastructure and Ecosystems o Edge-computing o Devices & Sensors o High Performance Computing o Novel computing paradigms o Next generation networking

• Autonomous Systems and Robotics o Distributed intelligence (e.g., swarms) o Nested or hierarchical intelligence o Robust decision making (“fail safely”)

Potential Breakthrough AI Technology Areas: Efforts across government have worked to identify strategic AI research, development, and technology advancements to address sector-specific AI challenges and to advance American leadership in AI. The RFI is expected to focus on advancing novel AI technology breakthroughs to push the frontiers of development that include:

• Novel Methods of Learning (including continuous learning, learning with unlabeled data or less labels, higher-dimensional data multimodal or sparse data, and incorporation of common sense, logic, physics or domain knowledge into AI)

• Development & Validation of Trustworthy AI (e.g. secure, reliable, robust, mitigating unintended bias, and the development of appropriate outputs and understandable fail-safes)

1 https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/ https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/ https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/

• Applications for and Defenses Against Adversarial AI

• Tools to enable better Data Management and Sharing (e.g. security, accessibility, sharing, management, standards, common platforms and infrastructure)

Abbreviations & Terminology

AI Artificial Intelligence (AI) AITO Artificial Intelligence & Technology Office (AITO) DOE Department of Energy (DOE) RFI Request for Information (RFI)

RFI Response Instructions

Responses to this RFI will assist AITO in identifying sector-specific grand challenges from advances AI technology innovation and support U.S. AI leadership. AITO requests responses that relate one or more of the listed breakthrough AI technology areas to aid in tackling our Nation’s largest issues, such as curing cancer, preventing or mitigating epidemics, and ensuring grid resiliency. Participation from academia, industry and the US national laboratories is requested to help AITO determine future Grand Challenges and sectored-specific partnerships that will push the boundaries of AI technologies.

Please submit your responses to Mesia Luster at Mesia.Luster@hq.doe.gov by no later than July 10, 2020 at 1300 (1 pm EST).

Each response to this RFI must provide the following information:

1) Background Information Page (1 page, single spaced, Calibri, 12 pt font, 1” margins):

a. Title of the response

b. Author name(s)

c. Company/Organization Affiliation(s)

d. Email address and phone numbers for correspondence

e. Brief summary that includes the author(s) research domains and AI expertise

2) Answers to the Program Summary Questions (no more than 2 pages, single spaced, Calibri, 12 pt font, 1” margins):

a. What Grand Challenges would benefit most from future investments in the suggested AI technology breakthroughs areas? What new capabilities would be developed for the Nation as a result?

b. Which breakthrough AI technologies would be best advanced by this Grand Challenge?

Why?

c. How would your organization approach developing this Grand Challenge and resulting capability? Please describe any collaborations or organizational constructs needed.

d. Please identify investments in supporting elements required to enable development in the application space (e.g. AI infrastructure, testbed development, standards/benchmarking, collaborations, workforce development)? Please describe investments in some detail.

mailto:Mesia.Luster@hq.doe.gov

Optional:

e. Are there any additional breakthrough AI technologies not listed above that the DOE should consider critical for ensuring American leadership in AI? Please provide the response as directed through the questions listed above (2a-d).