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The first research book created using machine learning is now available


The academic publisher Springer Nature published the book, which is titled "Lithium-Ion Batteries: A Machine-Generated Summary of Current Research." The document summarizes peer-reviewed papers on lithium-ion batteries, with quotations, hyperlinks, and automatically generated references. Below is the introduction of the book and link to download. 

Introduction
This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research.

This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections.

This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling.

With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content.

Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology.

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Bootstraplabs applied artificial intelligence conference 2019


This conference brings together the brightest and most experienced professionals in the field of AI for an immersive day of learning, discussion, and connection. This year’s agenda will focus on current and future impacts of AI applications and commercialization on enterprise, government, and society.   

We invite world class perspectives from research, entrepreneurship, investing, and business transformation, and the event aims to capture the deepest insights available within the AI ecosystem today. The 2019 speaker line up includes Danny Lange, VP of AI and ML at Unity Technologies, Oliver Brdiczka, AI Architect at Adobe, Kay Firth-Butterfield Head of AI and ML at World Economic Forum, and many more.  

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential. Speakers and panelists will engage in thought-provoking discourse about how AI is reshaping life as we know it.  

For a limited time, get 50% off your registration using promo code “AAI1950Percent” when you visit https://www.eventbrite.com/e/bootstraplabs-applied-artificial-intelligence-conference-2019-tickets-50536289402.


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Microsoft ai business school


AI is changing how business works across all industries. Microsoft created AI Business School to share insights and practical guidance from top executives on how to strategically apply AI in your organization. Below is a summary of the different topics and modules the course covers:

Define an AI strategy to create business value
Length: 3hrs 40Mins

In this module you will learn from top Microsoft executives about a framework to drive the key changes that are necessary to become an AI -ready organization. We illustrate and reflect on the successful implementations of AI with relevant scenarios. We discuss line of business specific and relevant uses cases in finance, marketing, sales, and customer service. We finish with a discussion on how to implement solutions based on the maturity of your organization.

Modules

- Define a holistic AI strategy for your business
- Transform your applications with AI
- Transform business processes in financial services with AI
- Transform business processes in retail with AI
- Transform business processes in manufacturing with AI
- Transform business processes in healthcare with AI
- Discover the value of empowering every employee with AI

Discover ways to foster an AI-ready culture in your business
Length: 3hrs 10Mins

In this module you will learn from top Microsoft executives about a framework to drive the key changes that are necessary to become an AI -ready organization. We illustrate and reflect on the successful implementations of AI with relevant scenarios. We discuss line of business specific and relevant uses cases in finance, marketing, sales, and customer service. We finish with a discussion on how to implement solutions based on the maturity of your organization.

Modules

- Understand the importance of building an AI-ready culture
- Discover how to foster an AI-ready culture in finance
- Discover how to foster an AI-ready culture in marketing
- Discover how to foster an AI-ready culture in sales
- Discover how to foster an AI-ready culture in customer service
- Discover how to apply the AI Maturity Model Assessment to your business

Identify guiding principles for responsible AI in your business
Length: 55mins

It is imperative to reflect on the implications of AI in business. In this module you will be provided with guidelines to assist in setting up principles and a governance model in your organization, as well as resources, best practices, and tools.

Modules

- Implications of responsible AI in business
- Responsible AI: Establishing guiding principles
- Responsible AI: Governance and external engagement

Introduction to AI technology for business leaders
Length: 1hr 20mins

In this module you will be given a high-level overview of the primary concepts of AI and the technologies behind it from an agnostic point of view. We then dive into how Microsoft is turning the latest advancements in AI into tools, products, and services that can be leveraged by organizations.

Modules

- Introduction to AI technology
- Examine the Microsoft approach to AI

Start the course here

 

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Facebook - computer vision for global challenges


Computer vision has recently made rapid progress, achieving a level of performance that was unexpected just a few years ago. This technology has opened possibilities in many real-world domains, including transportation, entertainment and safety. While these applications give value to our technology, research to date has predominantly focused on a few geographic regions, primarily the United States and Europe, raising concerns of globally unrepresented datasets, tasks and ultimately the direction of the field.

Parallel to this, internet penetration and mobile phone usage has dramatically increased throughout the world. Simple feature phones, often with cameras, are particularly pervasive in low- and middle-income countries, providing new entry points to address long-standing development challenges in areas like health, agriculture and education. The computer vision community could aid these efforts, but complex technical challenges prevent progress.

Facebook is calling for proposals for pilot and early-stage research that extends computer vision technologies in developing countries. Facebook specifically seek projects that address the technical challenges impeding computer vision in these contexts, including data and hardware limitations and better integration of new information sources, such as high-resolution satellite imagery. Competitive applications will similarly leverage computer vision to achieve global development priorities, especially those captured in the United Nations Sustainable Development Goals. Illustrative computer vision applications for delivering this type of social impact include (but are not limited to) the following:

- Agricultural extension: better informing smallholders about crop health, pest control, livestock illnesses, or soil fertility
- Health services: improving diagnosis, dietary, water or sanitation assessments
- Education quality: tools to enhance access to information without requiring high levels of literacy or language skills
- Infrastructure and sustainable industry: improving factory machinery or training to increase safety, jobs or output. Transportation innovations for environmental and human benefit.
- Disaster relief and climate action: visual information for first-responders to fires, floods or other natural disasters. Technologies to manage or mitigate environmental change.

Facebook aims to support projects that align with our mission, past research, open source tools and state-of-the-art algorithms. Awards will be made in amounts ranging from $20,000 to $40,000 for projects up to 6 months in duration. Our goal is to support the implementation of computer vision applications, which require further testing, pilot data and/or partnership development. Applicants requesting higher budget amounts, however, will need to demonstrate more robust research designs, novelty and potential to achieve impact. No Facebook data will be provided to award recipients.

We encourage proposals from teams that include institutions, researchers and non-profits in developing regions.

Proposals should include

- A summary of the project (1-2 pages) explaining the area of focus, conceptual and methodological distinction between the pilot study and any future follow-on studies, a description of techniques, the research’s applicability to Facebook, a timeline with milestones and expected outcomes

- A budget description (1 page) including an approximate cost of the award and explanation of how funds would be spent

- Curriculum Vitae for all key project participants

- Organization details; this will include tax information and administrative contact details

Eligibility

This opportunity is open to applicants worldwide from academic and/or research institutions that are eligible for research funding. This includes individual researchers addressing a well-defined problem, or multiple university departments. We encourage emerging scholars to apply.

Additional provisions are listed below.

- Awards must comply with applicable US and international laws, regulations and policies
- Applicants must be the Principal Investigator on any resulting award
- Applicants may submit one proposal per solicitation
- Organizations must be a nonprofit or non-governmental organization with recognized legal status in their respective country (equal to 501(c)(3) status under the United States Internal Revenue Code).

Timing and dates

- Applications are now open. Deadline to apply is Monday, April 29 at 5:00 pm PST.
- Notifications will be sent by email to applicants in June and the award winners will be announced during the Computer Vision for Global Challenges Workshop at CVPR ‘19.

Additional information

This RFP is launched in conjunction with Computer Vision for Global Challenges (CV4GC), a multi-stakeholder initiative to bring the computer vision community closer to socially impactful tasks, datasets and applications. CV4GC will convene a workshop at 2019 Conference on Computer Vision and Pattern Recognition to be held in Long Beach, California June 16–21. Successful applicants may be invited to join this workshop and present their projects; however, proposals do not need to include conference travel costs.

For additional questions related to this RFP, please email Andrew Westbury at [email protected]

Join our Facebook community 

Interested researchers, institutions and non-profits with computer vision or domain knowledge are also encouraged to join the Computer Vision for Global Challenges Facebook group and start engaging in discussion and sharing ideas and resources.

Terms and Conditions

Please read these Terms carefully before proceeding.

- By submitting this proposal, you are authorizing Facebook to evaluate the proposal for a potential award, and you agree to the terms herein.
- You agree that Facebook will not be required to treat any part of the proposal as confidential or protected by copyright
- You agree and acknowledge that personal data submitted with the proposal, including name, mailing address, phone number, and email address of you and other named researchers in the proposal may be collected, processed, stored and otherwise used by Facebook for the purposes of administering the website and evaluating the contents of the proposal.
- You acknowledge that neither party is obligated to enter into any business transaction as a result of the proposal submission, Facebook is under no obligation to review or consider the proposal, and neither party acquires any intellectual property rights as a result of submitting the proposal.
- Any feedback you provide to Facebook in the proposal regarding its products or services will not be treated as confidential or protected by copyright, and Facebook is free to use such feedback on an unrestricted basis with no compensation to you.

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