Latest from MIT : AI models are powerful, but are they biologically plausible?

Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain. About six years ago, scientists discovered a new type of more powerful neural network model known as a transformer. These models can…

O’Reilly Media – The next generation of developer productivity

To follow up on our previous survey about low-code and no-code tools, we decided to run another short survey about tools specifically for software developers—including, but not limited to, GitHub Copilot and ChatGPT. We’re interested in how “developer enablement” tools of all sorts are changing the workplace. Our survey 1 showed that while these tools…

Latest from Google AI – Advances in document understanding

Posted by Sandeep Tata, Software Engineer, Google Research, Athena Team The last few years have seen rapid progress in systems that can automatically process complex business documents and turn them into structured objects. A system that can automatically extract data from documents, e.g., receipts, insurance quotes, and financial statements, has the potential to dramatically improve…

Latest from MIT Tech Review – Why watermarking AI-generated content won’t guarantee trust online

In late May, the Pentagon appeared to be on fire.  A few miles away, White House aides and reporters scrambled to figure out whether a viral online image of the exploding building was in fact real.  It wasn’t. It was AI-generated. Yet government officials, journalists, and tech companies were unable to take action before the…

Latest from Google AI – AdaTape: Foundation model with adaptive computation and dynamic read-and-write

Posted by Fuzhao Xue, Research Intern, and Mostafa Dehghani, Research Scientist, Google Adaptive computation refers to the ability of a machine learning system to adjust its behavior in response to changes in the environment. While conventional neural networks have a fixed function and computation capacity, i.e., they spend the same number of FLOPs for processing…

Latest from MIT Tech Review – Why it’s impossible to build an unbiased AI language model

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. AI language models have recently become the latest frontier in the US culture wars. Right-wing commentators have accused ChatGPT of having a “woke bias,” and conservative groups have started developing their own…

Latest from MIT Tech Review – AI language models are rife with political biases

Should companies have social responsibilities? Or do they exist only to deliver profit to their shareholders? If you ask an AI you might get wildly different answers depending on which one you ask. While OpenAI’s older GPT-2 and GPT-3 Ada models would advance the former statement, GPT-3 Da Vinci, the company’s more capable model, would…

Latest from MIT : AI model can help determine where a patient’s cancer arose

For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types. A new approach developed by researchers at MIT and Dana-Farber Cancer Institute may make it…

Latest from Google AI – Multimodal medical AI

Posted by Greg Corrado, Head of Health AI, Google Research, and Yossi Matias, VP, Engineering and Research, Google Research Medicine is an inherently multimodal discipline. When providing care, clinicians routinely interpret data from a wide range of modalities including medical images, clinical notes, lab tests, electronic health records, genomics, and more. Over the last decade…