Researchers from the University of Toronto Introduce scGPT: A Foundation Model for Single-Cell Biology based on Generative Pre-Trained Transformer Across a Repository of Over 33 Million Cells

Natural language processing and computer vision are only examples of the fields where generative pre-trained models have succeeded incredibly. In particular, a viable strategy for constructing foundation models is to combine varied large-scale datasets with pre-trained transformers. The study investigates the feasibility of foundation models to further research in cellular biology and genetics by drawing…

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Driven to driverless | MIT News

When Cindy Heredia was choosing an MBA program, she knew she wanted to be at the forefront of the autonomous driving industry. While doing research, she discovered that MIT had a unique offering: a student-run driverless team. Heredia applied to MIT to join the team, hoping to get hands-on experience. “My hope is that we’re…

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Researchers from the University of Wisconsin and ByteDance Introduce PanoHead: The First 3D GAN Framework that Synthesizes View-Consistent Full Head Images with only Single-View Images

In computer vision and graphics, photo-realistic portrait image synthesis has been constantly emphasized, with a wide range of downstream applications in virtual avatars, telepresence, immersive gaming, and many other areas. Indistinguishable from genuine images, recent developments in Generative Adversarial Networks (GANs) have shown a remarkably high image synthesis quality. Contemporary generative methods, however, don’t model…

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How to say ‘no’ as a digital marketer

If you say “yes” to one thing, then you are saying “no” to something else.  Our time is finite, so when you accept to take on a project, task or experiment, you are declining many other activities you could be doing instead.  It is critical to be intentional about when to say “yes” and “no.” …

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Scaling audio-visual learning without labels | MIT News

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-learning models used in applications like speech recognition and object detection. The work, for the first time, combines two architectures of self-supervised learning, contrastive learning…

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How to create link building OKRs for SEO (with examples)

Objectives and key results (OKRs) are great tools for shaping SEO initiatives to align with the company’s goals. This article explores how OKRs can influence your SEO efforts, highlighting the connection between overarching business objectives and SEO-centric targets.  Understanding OKRs in SEO One of my favorite books is “Measure What Matters” by John Doerr. It…

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