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IBM researchers investigate ways to help reduce bias in healthcare AI

Artificial intelligence keeps inching its way into more and more aspects of our life, greatly benefitting the world. But it can come with some strings attached, such as bias. AI algorithms can both reflect and propagate bias, causing unintended harm. Especially in a field such as in healthcare. Real-world data give us a way to understand how AI bias emerges, how to address it and what’s at stake. That’s what we have done in our...

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IBM researchers use epidemiology to find the best lockdown duration

COVID-19 has changed our world. We finally have vaccines, but prevention strategies and mitigation of spread of the virus will stay for the foreseeable future, in the form of lockdowns. While effective for helping to deal with disease spread, the duration of lockdowns during the current pandemic has been typically chosen through empirical observation of symptoms. But is it the best way? Our team at IBM Research, in collaboration with...

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AI Suffers the Slings and Arrow of Outrageous Marketing

I read “Loose Lips Sink AI Ships.” Amusing. The write up begins with a sentence designed to catch my attention: Cognitive computing is not an IBM fraud. [Emphasis added. Editor.] Imagine. IBM and fraud in the same sentence. Even more tasty is the phrase “cognitive computing.” The phrase evokes zeros and ones which think. The implication is that smart computers are as good as a mere mortal, perhaps even better at some...

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Top 6 Alternatives To Hugging Face

In recent news, US-based NLP startup, Hugging Face has raised a whopping $40 million in funding. The company is building a large open-source community to help the NLP ecosystem grow. Its transformers library is a python-based library that exposes an API for using a variety of well-known transformer architectures such as BERT, RoBERTa, GPT-2, and DistilBERT. Here is a list of the top alternatives to Hugging Face.   Watson...

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From the Data and AI Expert Labs: Invest in teams, not just technology

Understand that when you transform your day-to-day operations, breaking systems so you can put them back together again better, there will be disruption. You need to invest in your team’s skills and abilities, because they will be the ones working collectively to make the transformation happen. Build a team, including your line-of-business workers, subject matter experts, and IT professionals who are comfortable with new processes...