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MIT and Mass General Brigham launch...

MIT and Mass General Brigham launch…

Leveraging the strengths of two world-class research institutions, MIT and Mass General Brigham (MGB) recently celebrated the launch of the MIT-MGB Seed Program. The new initiative, which is supported by Analog Devices Inc. (ADI), will fund joint research projects led by researchers at MIT and Mass General Brigham. These collaborative projects will advance research in

What It Is and Why It...

What It Is and Why It…

This is the third of four parts in this series. Part 1 can be found here and Part 2 can be found here. 7. Building or Integrating an MCP Server: What It Takes Given these examples, you might wonder: How do I build an MCP server for my own application or integrate one that’s out there?

Marek’s Dev Diary: May 15, 2025

Marek’s Dev Diary: May 15, 2025

What is this Every Thursday, I will share a dev diary about what we’ve been working on over the past few weeks. I’ll focus on the interesting challenges and solutions that I encountered. I won’t be able to cover everything, but I’ll share what caught my interest. Why am I doing it I want to

DALL·E Explained in Under 5 Minutes

DALL·E Explained in Under 5 Minutes

It seems like every few months, someone publishes a machine learning paper or demo that makes my jaw drop. This month, it’s OpenAI’s new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and generates images to match it: From https://openai.com/blog/dall-e/. I think

AI Use Raises Mental Health Concerns

AI Use Raises Mental Health Concerns

AI Use Raises Mental Health Concerns AI Use Raises Mental Health Concerns is no longer just a technological talking point. Increasing interaction with AI chatbots such as ChatGPT is prompting growing concern among mental health experts, ethicists, and digital wellness advocates. While AI can offer support and efficiency, psychologists warn that these tools may affect

Can “Safe AI” Companies Survive in...

Can “Safe AI” Companies Survive in…

As artificial intelligence (AI) continues to advance, the landscape is becoming increasingly competitive and ethically fraught. Companies like Anthropic, which have missions centered on developing “safe AI,” face unique challenges in an ecosystem where speed, innovation, and unconstrained power are often prioritized over safety and ethical considerations. In this post, we explore whether such companies

Gearing up for RoboCupJunior: Interview with...

Gearing up for RoboCupJunior: Interview with…

Action from RoboCupJunior Rescue at RoboCup 2024. Photo: RoboCup/Bart van Overbeeke. The annual RoboCup event, where teams gather from across the globe to take part in competitions across a number of leagues, will this year take place in Brazil, from 15-21 July. An important part of the week is RoboCupJunior, which is designed to introduce

AI for Ad Revenue Stalls in...

AI for Ad Revenue Stalls in…

In a digital ecosystem where user attention is fragmented and ad-blockers are rising, media companies are finding it harder than ever to maintain let alone grow advertising revenue. Traditional approaches to targeting and monetization are hitting a ceiling, often resulting in flat or declining ROI from digital ad operations. To thrive in today’s fast-evolving media

The Transformative Role of AI in...

The Transformative Role of AI in…

2025 marks a pivotal moment in the integration of artificial intelligence (AI) and cybersecurity. Rapid advancements in AI are not only redefining industries; they are reshaping the cybersecurity landscape in profound ways. Through this evolution, I have noted three primary trends emerging that demand immediate attention from organizations: The amplification of security threats powered by

What are Precision & Recall in...

What are Precision & Recall in…

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To

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