Issue 44 19th March 2024

Highlights

As AI tools get smarter, they’re growing more covertly racist, experts find

ChatGPT and Gemini discriminate against those who speak African American Vernacular English, report shows Popular artificial intelligence tools are becoming more covertly racist as they advance, says an alarming new report. A team of technology and linguistics researchers revealed this week that large language models like OpenAI’s ChatGPT and Google’s Gemini hold racist stereotypes about speakers of African American Vernacular English, or AAVE, an English dialect created and spoken by Black Americans.

6 ways generative AI helps improve accessibility for all with Azure

The application of Azure AI in enhancing accessibility is both broad and impactful, with Microsoft Copilot leading the charge. Here are six notable examples where Azure AI is making a difference.

Apple acquires AI startup specializing in overlooking manufacturing components

Apple has added another AI startup to its acquisition list with Canada-based DarwinAI, which specializes in vision-based tech to observe components during manufacturing to improve efficiency, Bloomberg reported. While Apple or DarwinAI haven’t announced this deal, several members of the startup’s team joined Apple’s machine learning teams in January, as per their LinkedIn profiles. DarwinAI […]

Video

Forward-Looking Impact of Generative AI on Software Development - Global AI Notes

Reflecting on how generative AI has changed the day-to-day life of a developer with GitHub Copilot and general possibilities in the coming months.

Patrick Chanezon - Silicon Minds, Human Hearts

Dive into the future of AI with Patrick Chanezon, Cloud Advocacy Manager at Microsoft, on the latest episode of Human Hearts Silicon Minds! 🚀 Patrick shares his insights on how AI tools like GitHub Copilot are revolutionizing the software development process and what we can expect in the coming months. From personal use cases to the impact on various industries and the concept of the singularity, this episode is packed with thought-provoking discussions. 🤖💡

Articles

This Week in AI: Midjourney bets it can beat the copyright police | TechCrunch

In this edition of This Week in AI, TC's AI-focused column, we look at image generator Midjourney doubling down on the fair use argument.

Once “too scary” to release, GPT-2 gets squeezed into an Excel spreadsheet

OpenAI's GPT-2 running locally in Microsoft Excel teaches the basics of how LLMs work.

Scaling early detection of esophageal cancer with AI

Microsoft Research and Cyted have collaborated to build novel AI models (opens in new tab) to scale the early detection of esophageal cancer. The AI-supported methods demonstrated the same diagnostic performance as the existing manual workflow, potentially reducing the pathologist’s workload by up to 63%. Esophageal cancer is the sixth most common cause of cancer […]

The post Scaling early detection of esophageal cancer with AI appeared first on Microsoft Research.

MlOps — A gentle introduction to Mlflow Pipelines

Orchestrate your end-to-end machine learning lifecycle with MLflow

Gemma: Introducing new state-of-the-art open models

Gemma is built for responsible AI development from the same research and technology used to create Gemini models.

AI-Generated Marilyn Monroe Answers Questions in Dead Celebrity's 'Voice and Style'

In step with a growing trend of extending celebrity value beyond the grave, Marilyn Monroe has been resurrected as an AI-generated “Digital Marilyn” …

Quantum Machine Learning with Python: Kernel Methods and Neural Networks

We import the necessary libraries (Pandas, NumPy, scikit-learn) and Qiskit for quantum computing and kernel estimation, we load the data, preprocess the data and separate the data into features (X) and target labels (y). The last step comes back to a classic machine learning pipeline with data rescaling with standard scaler, dimension reduction using principal component analysis and the use of support vector classifier (SVC) which utilizes the quantum kernel for classification.

Orca-Math: Demonstrating the potential of SLMs with model specialization

Microsoft’s Orca-Math, a specialized small language model, outperforms much larger models in solving math problems that require multi-step reasoning and shows the potential of using feedback to improve language models.