Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly motivating problem, but it is an application and the significance seems limited for the machine-learning community.”
These words are straight from a review I received for a paper I submitted to the NeurIPS (Neural Information Processing Systems) conference, a top venue for machine-learning research. I’ve seen the refrain time and again in reviews of papers where my coauthors and I presented a method motivated by an application, and I’ve heard similar stories from countless others. Read More
Tag Archives: Artificial Intelligence
How Do Data Science Machine Learning And Artificial Intelligence Overlap
In conjunction with data science and digital transformation, you have probably heard the terms of artificial intelligence, machine learning, and deep learning is used. You might wonder what the relationship between those topics is. How do companies in industries range from biopharma to chemicals to food & beverage that incorporate AI, machine learning, and data science to enhance their processes? AI and machine learning allow applications such as virtual digital assistants, facial recognition, and self-driving cars, as well as improvements in healthcare diagnostics and process manufacturing. Are you interested in making a career in these? There are many AI certification courses, data science certification courses, and ML certifications available online. Check out! Read More
We Have Already Let The Genie Out of The Bottle
How will we make sure that Artificial Intelligence won’t run amok and will be a force for good?
There are many areas where governance frameworks and international agreements about the use of artificial intelligence (AI) are needed. For example, there is an urgent need for internationally shared rules governing autonomous weapons and the use of facial recognition to target minorities and suppress dissent. Eliminating bias in algorithms for criminal sentencing, credit allocation, social media curation and many other areas should be an essential focus for both research and the spread of best practices. Read More
Kai-Fu Lee Gives AI a B-Minus Grade in the Covid-19 Fight
Robots and computer programs can help with social distancing and food delivery, but have been less helpful in developing a vaccine.
This past week, as part of the Aspen Ideas Festival, I spoke with Kai-Fu Lee, the president and chair of Sinovation Ventures and a pioneer in artificial intelligence. We discussed his recent argument that AI has been of limited use in the response to the coronavirus crisis. And then we talked about the future of work and why he thinks that Covid-19 is going to accelerate trends toward automation. Because of the virus, and because of the way we all work now, we’re going to have many more robots and other machines in our factories, restaurants, and kitchens. A lightly edited transcript is below. You can watch the original video here. Read More
How AI can empower communities and strengthen democracy
Each Fourth of July for the past five years I’ve written about AI with the potential to positively impact democratic societies. I return to this question in hopes of shining a light on technology that can strengthen communities, protect privacy and freedoms, and otherwise support the public good.
This series is grounded in the principle that artificial intelligence is capable of not just value extraction, but individual and societal empowerment. While AI solutions often propagate bias, they can also be used to detect that bias. As Dr. Safiya Noble has pointed out, artificial intelligence is one of the critical human rights issues of our lifetimes. AI literacy is also, as Microsoft CTO Kevin Scott asserted, a critical part of being an informed citizen in the 21st century. Read More
AWS, Google, and Mozilla back national AI research cloud bill in Congress
A group of more than 20 organizations, including tech giants like AWS, Google, IBM, and Nvidia, joined schools like Stanford University and Ohio State University today in backing the idea of a national AI research cloud. Nonprofit groups like Mozilla and the Allen Institute for AI also support the idea. The cloud would help researchers across the United States gain access to compute power and data sets freely available to companies like Google, but not researchers in academia. Compute resources available to academics could grow even more scarce in the near future as COVID-19 fallout constricts university budgets. Read More
Original Blog Post
A beginner’s guide to understanding the buzz words -AI, ML, NLP, Deep Learning, Computer Vision, and Data Science
Artificial Intelligence (AI) is the branch of computer science that focuses on giving machines or computers the ability to think as intelligently as humans and in some cases better than humans, learning from a lot of data.
The goal of AI is to capture the collective intelligence of humans and do a given task better than any individual human can ever do. Read More
Understanding Artificial Intelligence From Intelligent Automation
In the age of digital disruption, intelligent automation is omnipresent. A heady mix of AI and RPA, intelligent automation is adapted for its sheer ease to automate rule-based tasks and unstructured data handling. In this digital age, organizations walking on the path of change management adopt intelligent automation in a bid to outsmart their competitors.
You may wonder can these two terms be interchanged? The short answer is NO. IA and AI are two different concepts, the main point of difference being while artificial intelligence is about algorithms programmed to mimic human cognitive functions, intelligent automation takes the rule-based, highly voluminous work processes to AI-enabled RPA bots to ensure improved safety, operational efficiency, and business continuity. Read More
Machine Learning Vs. Predictive Analytics: Which Is Better For Business?
What’s the first thing that comes to mind when you hear “artificial intelligence” (AI)? While I-Robot was a great film, it doesn’t count. Many don’t realize how deep the rabbit hole goes, either. There are dozens, if not hundreds, of subsets of AI.
They all work in their own unique way with different benefits and uses. Unfortunately, 37% of executives struggle to understand how the technologies work. This confusion naturally leads to the question: “Which one should my company use, and how do we deploy it?” Read More
The Promise And Risks Of Artificial Intelligence: A Brief History
Artificial intelligence (AI) has recently become a focus of efforts to maintain and enhance U.S. military, political, and economic competitiveness. The Defense Department’s 2018 strategy for AI, released not long after the creation of a new Joint Artificial Intelligence Center, proposes to accelerate the adoption of AI by fostering “a culture of experimentation and calculated risk taking,” an approach drawn from the broader National Defense Strategy. But what kinds of calculated risks might AI entail? The AI strategy has almost nothing to say about the risks incurred by the increased development and use of AI. On the contrary, the strategy proposes using AI to reduce risks, including those to “both deployed forces and civilians.” Read More
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