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Algorithmic biases – Is it a challenge to achieve fairness in AI?

Data Science Dojo

Just like people, Algorithmic biases can occur sometimes. AI algorithms are used to make decisions about everything from who gets a loan to what ads we see online. However, AI algorithms can be biased, which can have a negative impact on people’s lives. Thinking why? Well, think of AI as making those characters.

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STAT+: Machine learning biotech raises $273 million in rare successful late-stage round

Flipboard

Generate was founded in 2018 by venture-creation firm Flagship Pioneering to use machine learning algorithms to identify antibodies, peptides, cell therapies, and other medicines. It launched its first clinical trial in July for a Covid monoclonal antibody, and is working on starting another clinical trial for an asthma treatment.

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Instagram’s co-founders are back with Artifact, a kind of TikTok for text

Flipboard

The app uses algorithmic predictions, which Kevin Systrom sees as ‘the future of social.’ The Instagram co-founders, who departed Facebook in 2018 amid tensions with their parent company, have formed a new venture to explore ideas for next-generation social … Kevin Systrom and Mike Krieger are back.

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How Genetic Algorithms and Machine Learning Apply to Investments

Smart Data Collective

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Final thoughts.

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Community Spotlight: Brett Mullins

DrivenData Labs

Two exciting recent projects I've worked on involve introducing a new algorithm for differentially private synthetic data generation - the focus of the DrivenData competition I participated in - and the foundations of rule-based explanations in machine learning. Below is a brief description of each.

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13 Biggest AI Failures: A Look at the Pitfalls of Artificial Intelligence

Pickl AI

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

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Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution. It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. Techniques Uses statistical models, machine learning algorithms, and data mining.