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How Easy Is It To Deploy Explainable Machine Learning Methods?

how easy is it to deploy explainable machine learning methods?

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There has been a lot of talk about making machine learning more explainable so that the stakeholders or the customers can shed the scepticism regarding the traditional black-box methodology. However, there wasn’t much discussion about how to deploy these systems into the pipelines. So, in order to find out how it is being implemented, a group of researchers conducted a survey.

In the next section, we look at a few findings and practices for deploying as recommended by the researchers at Carnegie Mellon University, who published a work in collaboration with top institutes. In their survey conducted with various domain experts, the authors have tried to address questions such as:

What are the pain points in deploying ML models and does explainability help?

What type of explanations are used (e.g., feature-based, sample-based, counterfactual, or natural language)?

How does an organisation decide when and where to use model explanations?

What Practitioners Have To Say

During their survey, the researchers have come across some concerns such as model debugging, model monitoring and transparency among many others during the interviews that they have conducted with organisations as part of their work.

The study found that most data scientists struggle with debugging …

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Rajant Introduces Jon Lederman as Vice President of Artificial Intelligence – MyChesCo

rajant introduces jon lederman as vice president of artificial intelligence – mychesco

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MALVERN, PA — Rajant Corporation, the provider of Kinetic Mesh® wireless networks, announced Jon Lederman joined the team as Vice President of Artificial Intelligence (AI).

In this newly created position, Mr. Lederman will enable new applications and capabilities for Rajant’s Kinetic Mesh partners and end customers to enhance their productivity further using machine learning (ML). Target markets include warehouse automation, robotics, energy, transportation, public safety, military, and mining.
“Artificial intelligence, machine learning, and advanced analytics will unleash even greater potential within the industrial network Rajant has created, making it future-ready for the complexity of next-generation applications,” said Rajant CEO Robert Schena. “Jon’s know-how and entrepreneurial work ethic are the right fit for Rajant’s strategic roadmap of innovation.”
Shared Mr. Lederman, “Advances in AI, machine learning and computing resources are revolutionizing many aspects of the world economy as well as enterprise and consumer products. Reliable access to real-time data is critical for AI to be effective, and Rajant’s low latency layer 2 machine to machine communication is the ideal platform to realize these new applications. I’m excited to lead AI innovation and execution at Rajant with the aim of both enhancing Rajant’s cutting-edge wireless networking products and …

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Global Collaboration Required to Stop Artificial Intelligence Friction Between Countries, Regarding COVID-19 Tracing Apps, Warns the Institute of AI

global collaboration required to stop artificial intelligence friction between countries, regarding covid-19 tracing apps, warns the institute of ai

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LONDON, May 29, 2020 /PRNewswire/ — The Institute of AI is calling for greater international cooperation regarding the regulation of COVID-19 tracing mobile applications and their potential continued use in countries after the pandemic is under control.
The call follows a series of high-level roundtables, hosted by the Institute of AI, with politicians from across the world, including the United Kingdom, Spain, Italy, Germany, Sweden, Australia and the USA.
Darren Jones MP, Chairman of the Institute of AI, said:
“The global threat posed by COVID-19 means each country is adopting new technologies and applying artificial intelligence in different ways: improving public health responses, tracing infections and advancing vaccine research and development. While many of these developments are welcome, some will have been put into place at speed without proper legislative oversight. At the Institute of AI, our global network of legislators wish to learn from each other about the approaches taken in different parts of the world and ensure appropriate measures are in place in our countries for the future.”
Emma Wright, Director of the Institute of AI, commented:
“The development of COVID-19 tracing mobile applications, and the use of artificial intelligence, raises multiple questions around efficacy, privacy and discrimination. As we …

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Robotics & Artificial Intelligence ETF (BOTZ) at 52-Week High

Information Access and Management (IAM) Platform powers IAM Network - 60,000 + engaged information professionals worldwide.

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For investors looking for momentum, Global X Robotics & Artificial Intelligence ETF BOTZ is probably a suitable pick. The fund just hit a 52-week high and is up 57.4% from its 52-week low price of $14.77/share.Let’s take a look at the fund and its near-term outlook to gain an insight into where it might be headed:BOTZ in FocusThis ETF seeks to invest in companies that potentially stand to benefit from increased adoption and utilization of robotics and AI, including those involved with industrial robotics and automation, non-industrial robots, and autonomous vehicles. It has AUM of $1.41 billion and charges 68 basis points (bps) in annual fees.Why the Move?Due to the coronavirus outbreak, the robotics market is flooded with opportunities as robots are being used for jobs such as sanitizing hospitals, homes and workplaces along with monitoring, surveying, handling, and delivering food and medicines. The current conditions seem favorable for the robotic markets in government applications such as health, security and defense. Also, with the reopening of the U.S. economy, it is believed that robots will see increased usage in industrial, manufacturing, healthcare, logistics, inspection and maintenance, automotive, electronics, and food and beverage areas. This is making funds like …

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Baidu open sources its quantum machine learning toolkit on GitHub

baidu open sources its quantum machine learning toolkit on github

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Chinese Internet giant Baidu Inc. has unveiled a new toolkit for quantum machine learning, known as Paddle Quantum.
The newly open-sourced toolkit comes with several quantum computing applications, and is meant to be used by developers to build and train quantum neural network models. It’s built atop of the company’s deep learning platform PaddlePaddle, which is used power its artificial intelligence services.
Paddle Quantum, available now on GitHub, is comprised of a set of quantum machine learning toolkits. They include a quantum chemistry library plus optimization tools, and three quantum apps: quantum machine learning, quantum chemical simulation, and quantum combinatorial optimization.
Baidu said Paddle Quantum can be used to support quantum circuit models and general quantum computing research. For example, it can be used to simplify the implementation of a promising quantum algorithm, called the Quantum Approximate Optimization Algorithm, by 50%.
“Researchers in the quantum field can use the Paddle Quantum to develop quantum artificial intelligence, and deep-learning enthusiasts have a shortcut to learning quantum computing,” said Duan Runyao, director of Baidu’s Institute for Quantum Computing.
Baidu also announced a number of new tools that provide a total of 27 enhanced features for the PaddlePaddle framework. The tools include …

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US technology chief warns China ‘twisting’ artificial intelligence to target critics, as America joins global pact

us technology chief warns china ‘twisting’ artificial intelligence to target critics, as america joins global pact

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The chief technology officer of the United States on Thursday warned that China is “twisting” artificial intelligence (AI) in order to target government critics amid the coronavirus pandemic, as he explained the Trump administration’s decision this week to join a global organization devoted to “upholding American values” in AI.U.S. Chief Technology Officer Michael Kratsios, in an interview with Fox News, cited the use of AI by China and other adversaries in a way that is in “dramatic conflict” with Western values.He explained this was part of the reason the U.S. decided to join the Global Partnership on Artificial Intelligence — a pact led by G-7 countries focused on ensuring that technology serves democratic interests, not authoritarian ones.HOW ARTIFICIAL INTELLIGENCE IS SHAPING THE FUTURE OF SOCIETYThe U.S. is the last of the G-7 nations to join the pact, which Kratsios said was due to the administration’s “first duty” — “the American people.”“Like everything else we pursue on the international stage, we’re thoughtful,” Kratsios told Fox News. “Through years of negotiation, we are at a place where we’re comfortable moving ahead with this.”The Trump administration was initially hesitant to join …

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US joins G7 artificial intelligence group to counter China’s record of ‘twisting technology’

us joins g7 artificial intelligence group to counter china’s record of ‘twisting technology’

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WASHINGTON — The U.S. has joined an international panel for setting ethical guidelines for the use of artificial intelligence. The Trump administration had earlier dismissed the idea.
The White House’s chief technology officer, Michael Kratsios, told The Associated Press on Thursday it is important to establish shared democratic principles as a counter to China’s record of “twisting technology” in ways that threaten civil liberties.
“Chinese technology companies are attempting to shape international standards on facial recognition and surveillance at the United Nations,” he said.
The Trump administration had been the lone holdout among leaders of the Group of Seven — the world’s wealthiest democracies — in setting up the Global Partnership on AI.
The partnership launched Thursday after a virtual meeting between national technology ministers. It was nearly two years after the leaders of Canada and France announced they were forming a group to guide the responsible adoption of AI based on shared principles of “human rights, inclusion, diversity, innovation and economic growth.”
The Trump administration objected to that approach, arguing that too much focus on regulation would hamper U.S. innovation. But negotiations over the past year and changes to the group’s scope led the U.S. …

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U.S. joins G7 artificial intelligence group to counter China

u.s. joins g7 artificial intelligence group to counter china

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The U.S. has joined an international panel for setting ethical guidelines for the use of artificial intelligence. The Trump administration had earlier dismissed the idea.

The White House’s chief technology officer, Michael Kratsios, told The Associated Press on Thursday it is important to establish shared democratic principles as a counter to China’s record of “twisting technology” in ways that threaten civil liberties.

“Chinese technology companies are attempting to shape international standards on facial recognition and surveillance at the United Nations,” he said.

The Trump administration had been the lone holdout among leaders of the Group of Seven — the world’s wealthiest democracies — in setting up the Global Partnership on AI.

The partnership launched Thursday after a virtual meeting between national technology ministers. It was nearly two years after the leaders of Canada and France announced they were forming a group to guide the responsible adoption of AI based on shared principles of “human rights, inclusion, diversity, innovation and economic growth.”

The Trump administration objected to that approach, arguing that too much focus on regulation would hamper U.S. innovation. But negotiations over the past year and changes to the group’s scope led the U.S. to join, Kratsios said.

“We …

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How Army Futures Command plans to grow soldiers’ artificial intelligence skills

how army futures command plans to grow soldiers’ artificial intelligence skills

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WASHINGTON — With artificial intelligence expected to form the backbone of the U.S. military in the coming decades, the Army is launching a trio of new efforts to ensure it doesn’t get left behind, according to the head of Army Futures Command. While speaking at an event Wednesday hosted by the Defense Writers Group, Gen. Mike Murray was asked about areas that need more attention as his command works to modernize the force. Murray pointed to a change in how the service does long-term planning, as well as two personnel efforts that could pay off in the long run. The first is something Murray has dubbed “Team Ignite,” which he described as “ad hoc, right now,” with a hope to formalize the process in the future. In essence, this means bringing in the teams that write the concept of operations for the military and having them work next to the technologists driving research and development efforts so that everything is incorporated early. “It has occurred to me for a long time that when we prepare concepts about how we will fight in the future, they are usually not informed by scientists and what is potentially out there in terms …

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CVPR 2020 Features Latest in Machine Learning, Facial Recognition

cvpr 2020 features latest in machine learning, facial recognition

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Technical presentations address latest scientific advancements and their applicability to the commercial marketThe annual Computer Vision and Pattern Recognition Conference (CVPR), the largest conference of its kind, unveils the latest research spanning the fields of computer vision, deep learning, artificial intelligence, image compression, pattern analysis, and beyond. This year’s conference convenes as a virtual event from 14 –19 June 2020.As a virtual event, attendees will be able to participate remotely from around the globe, accessing the diverse and original content for which the conference is known. CVPR 2020 registrants will explore topics as varied as medical data analysis, facial recognition, machine learning, autonomous driving, social analytics, fashion applications, and much more. The following sampling of presentations offers a glimpse into the leading research to be introduced at this year’s event.Recommended AI News: Simplify Deploys 8×8 for Enhanced Collaboration and EngagementMedical Data Analysis–  IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning (Tuesday, 16 June, 14:40, PDT) – Researchers from the University of Tokyo and South China University of Technology introduce a 3D intracranial aneurysm dataset, IntrA, that supports physicians in more precisely diagnosing and treating intracranial aneurysms.Facial Recognition–  Face X-Ray for More General Face Forgery Detection (Wednesday, 17 June, 10:20, PDT) – Microsoft Research Asia and …

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