RE•WORK Blog - AI & Deep Learning News

Using Custom Model Ensembles to Improve Multi-domain Conversations

Multilingual conversations, sales conversations, switching to data entry information, and conversational AI with a multi-use case conversational flow are just a few examples where a conversation can switch wildly between domains within the same conversation....

Women in AI Podcasts

The Future of AI & Spoken Word Content

Audio content is on the rise. What role does artificial intelligence have to play? We met with Mari Joller, Founder and CEO of Snackable AI, for an episode of the Women in AI Podcast....

Deep Learning

A New Approach to Drug Discovery with Daphne Koller, CEO at Insitro

How can we develop a new approach to drug development that uses high-quality data and ML models to design novel, safe, and effective therapies that help more people, faster, and at a lower cost?...

Bias

The Man, The Machine, And The Black Box: ML Observability

Aparna Dhinakaran, Co-Founder & CPO of Arize AI, explores the challenges organizations face in checking for model fairness, such as the lack of access to protected class information to check for bias and diffuse organizational responsibility of ensuring model fairness....

FinTech

Calling AI Startups to Power Financial Prosperity

Intuit has recently announced the launch of a new accelerator for AI-focused startups to help communities overcome financial challenges in North America, the Intuit Prosperity Accelerator: AI...

Fighting AI Bias

Fighting Bias in AI, With Wendy Gonzalez - CEO at Sama

How do we reduce bias in AI? An interview with Wendy Gonzalez, CEO at Sama. Topics covered such as privacy and security in AI, challenges with availability of data and more....

Fraud Detection

Low Latency Fraud Detection & Prevention

A PwC survey showed that in 2020 about 49% of companies had experienced fraud amounting to $42B in losses, and the cost of fraud for banks grew by 17% since 2019. This reality is increasing the investment companies are making in fraud detection and prevention (FDP)....

AI in Finance

Intersectional Group Fairness in Machine Learning

At the ML Fairness Summit, we welcomed Fiddler Data Scientist, Léa Genuit to discuss intersectional group fairness. As more companies adopt AI, more people question the impact AI creates on society, especially on algorithmic fairness....

AI-enabled automation

Advanced ML Methods For Automating Image Labeling

Training computer vision models require a constant feed of large and accurately labeled datasets. However, this typically requires large time and capital commitments, especially since most of the labeling and quality assurance is done manually by humans....

AI Roadblocks

What can we do about Bias in AI?

In regard to bias in AI, it is widely recognised that there are two prominent types. These manifest themselves as cognitive bias.......

In Search of Trustworthy & Ethical AI

In this piece, we look at the need for, challenges, and benefits of implementing Ethical AI. This includes regulation, cost/benefit comparisons, and more....

AI in Finance

5 AI Advancements in Finance, Insurance, & RegTech

We have heard from some of the leading minds in AI working in Finance this year, so we listed five brilliant talks from Vanguard, JPMorgan Chase, Scotiabank, and more on their latest developments in the field....

Deep Learning

Young Science: Encouraging Careers in STEM

When we hear STEM, we think of the traditional science, technology, engineering and math disciplines. But STEM fields open a world of opportunities for careers. Susanne Lettner is a Co-Founder of the project...

AI in Finance

Assessing Regulation & Promoting the Responsible Use of Data for Financial Applications of AI

We were lucky enough to be joined by experts from The World Bank, NatWest and MANTA to discuss AI in Finance and RegTech....

Education

How Should we Educate Kids About Artificial Intelligence?

An interview with Juliet Waters, Chief Knowledge Officer at KCJ, for our Women in AI Podcast Series. Juliet discusses the importance of teaching kids AI, the initiatives that KCJ provide and the challenges with that. As well as her favourite female role models, being the younger generation....

Guest Blogs

Is Python Essential for Data Science?

Due to the advancement of technology, the amount of data available has increased drastically and so has the need to understand the data and to derive meaningful information out of it. You can...

Fighting AI Bias

Artist Gender Representation in Music Streaming

Avriel Epps Darling, researcher, entrepreneur and artist talks about her ongoing research on how online machine learning-driven ecologies influence the youth of colour, biasses within the music industry and streaming and more....

GPT-3

How Will GPT-3 Affect Content Marketing?

This blog is written by Gizem Tas, Gizem explains how GPT-3 will affect content marketing, as well as the pros and cons about using GPT-3 and how it compares to humans. Also discussed is the future predictions of GPT-3...

Healthcare

The Shift to Software 2.0 in Healthcare

An interview with Bill Fox, Healthcare and Life Sciences Lead at SambaNova Systems on his transition from Law to AI, and the shift to Software 2.0 in Healthcare & Pharma....

Robotics

The Future of Conversational AI & Social Robotics

Susanna Dillenbeck of Furhat Robotics joins us to discuss the topics of Conversational AI and Social Robotics, the challenges faced within, the impact they have on society and advice for women in AI that are coming from a non-technical background like Susanna....

International Women's Day

Top 30 Women in FinTech

This year, we're taking the time to recognise and celebrate some of the fantastic women working within FinTech, as an important reminder of their accomplishments & contributions toward the field...

Trusted AI

Can We Trust AI?

This article explores building trust in AI, the risks in AI, and how to best build trust in AI through frameworks and guidelines....

AI EXPERT BLOGS

Building AI Responsibly from the ground up with Explainable AI

AI has the potential for productive and innovative outcomes but comes with risks. Building AI responsibly with Explainable AI is the key to successful deployments....

Women in AI

AI & Deep Neural Networks - An Interview with Sara Hooker of Google Brain

This podcast is with Sara Hooker, Researcher at Google Brain. Sara discusses her current research and role at Google Brain, diversity & inclusion in AI, and advice for those starting out in the field....

AI use for COVID-19

Women at the Forefront of Science & Advancing Healthcare

We’re going back in time to recognise some of the greatest medicinal breakthroughs in history as an important reminder of the accomplishments of women in STEM...