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Will AI Take Control of Jobs in the Future?

#artificialintelligence

"Will AI Take Control of Jobs in the Future?" you might wonder. When you ask a group of people for their thoughts, you will certainly get a range of responses. Some might argue that "no, AI will make our jobs easier," while others might argue that "yes, we will undoubtedly lose our jobs." It's a controversial issue that's been a mystery for a long time. However, since the release of COVID-19, a lot has changed in our lifestyles, businesses, and economy as a whole. AI is no exception, and it is educating us about its importance.


Making machine learning more useful to high-stakes decision makers

#artificialintelligence

The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases, some agencies are implementing machine learning models to help child welfare specialists screen cases and determine which to recommend for further investigation. But these models don't do any good if the humans they are intended to help don't understand or trust their outputs. Researchers at MIT and elsewhere launched a research project to identify and tackle machine learning usability challenges in child welfare screening.


Making machine learning more useful to high-stakes decision makers

#artificialintelligence

The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases, some agencies are implementing machine learning models to help child welfare specialists screen cases and determine which to recommend for further investigation. But these models don't do any good if the humans they are intended to help don't understand or trust their outputs. Researchers at MIT and elsewhere launched a research project to identify and tackle machine learning usability challenges in child welfare screening.


AI can predict cancer risk through mammograms

#artificialintelligence

As a hereditary disease, breast cancer has affected hundreds of families throughout the state. Annually, an average of 1,190 women are diagnosed with breast cancer in Hawaiʻi. As October approaches in recognition of National Breast Cancer Awareness Month, new public impact research from the University of Hawaiʻi Cancer Center is using artificial intelligence (AI) to improve risk assessment for breast cancer to aid in prevention and early detection, improving breast cancer outcomes for women all over the world. To reduce unnecessary imaging for breast cancer and costs associated with it, UH Cancer Center Researcher John Shepherd and his colleagues found that AI is able to distinguish between the mammograms of women who are more likely to develop breast cancer later on, and those who are not. The study was published in Radiology.


Hallmarks of AI Success in the Enterprise

#artificialintelligence

We're in the midst of a rapid uptake of AI in the enterprise across the board, but there are big differences in the results and the workflows in these AI practices. For its latest "State of AI in the Enterprise" report, Deloitte looked for the commonalities that mark successful AI practices, as well as the practices associated with lower achievement. For its fourth annual AI report, titled "Becoming an AI-fueled organization," Deloitte surveyed 2,875 executives from 11 countries in the Americas, EMEA, and APAC to determine how they're using AI, what kinds of results they're getting, and their underlying practices. Deloitte grouped the companies into four main groups, based on the volume of AI projects and their success rate. Transformers, which accounted for 28% of survey respondents, were characterized by high outcomes and a high number of AI deployments, while Pathseekers, which accounted for 26% of respondents, reporting high outcomes, but a low number of deployments.


Overview of Types of AI

#artificialintelligence

So, what is artificial intelligence? Artificial intelligence is the overarching name for a branch of computer science that deals with smart machines or robots that can think and perform tasks like a human. In artificial intelligence you can teach a computer to learn and make its own decisions. AI is the broad concept of machines being able to carry out tasks in a way that we would consider'smart', and we encounter these technologies on a daily basis: from voice assistants in our home, to Netflix recommendations or autonomous cars. AI relies on data and on training algorithms.


The awkward grant of patents to artificial intelligence

#artificialintelligence

As exciting as all this might seem, this decision seems to be more of an aberration than the rule. Before it was finally granted a patent in South Africa, the DABUS application had been rejected by patent offices in the US, Europe and the UK. The European Patent Office (EPO), justifying its decision to reject the patent application, pointed out that the law designates a natural person as the inventor of a work in order to preserve her moral right over the invention as well as to secure for her the economic rights made available by the patent. In order to be entitled to these benefits, an inventor needs to have actually "performed the creative act of invention". While artificial intelligence algorithms today are capable of perform complex computational functions that are often way beyond the capability of humans, the EPO pointed out that in all these instances, the programs are doing little more than just following the broad instructions of the humans who designed them.


Twilio shares off 5%: Q3 revenue tops expectations, delivers surprise profit, retention rate declines

ZDNet

Cloud communications firm Twilio this afternoon reported Q3 revenue that topped Wall Street's expectations, and a surprise profit, and an outlook for this quarter's revenue that was higher as well. The one apparent blemish in the quarter was that the company's Dollar-Based Net Expansion Rate was 131%. That was down from 137% in the prior-year period. The report sent Twilio shares down 11% in late trading. "We had a terrific Q3, and we're really exicted about our set-up for Q4," said CFO Khozema Shipchandler, in an interview with ZDNet via Zoom following the report.


Test Automation Robot Framework with Python - Selenium Tests

#artificialintelligence

Created by Rahul Shetty 8.5 hours on-demand video course Your struggle on designing Test Automation Frameworks ends here. Presenting you the only framework in the Market which is faster and easy to design with very less code. This Framework consists of all the features what (Cucumber TestNG) provides. This Framework by default comes with many Libraries which helps to build automation tests without writing much boilerplate code. Additionally you also have ability to build your custom Libraries with Python code.


AI startup Abacus.ai snags $50 million Series C to advance hybrid deep learning models

ZDNet

Abacus.AI, the two-year-old startup that is developing "hybrid" neural network forms of deep learning, on Wednesday announced the company has obtained $50 million in venture capital financing in a Series C round, lead by private equity firm Tiger Global Management. The company now has received $90.3 million in financing. Tiger Global is joined by returning investors Coatue Management and Index Ventures, as well as Alkeon. "A large chunk of it will goes to R&D and engineering and science," explained Bindu Reddy, co-founder and CEO of the company, in an interview with ZDNet via Zoom. "We continue to want to be the best of breed in AI and ML platforms."