Too many models, too much confusion: OpenAI pledges to simplify its product line
Altman is the rare CEO to admit that the number of models the company released has made their core products more complicated to use.Read More
DOGE Has Started Gutting a Key US Technology Agency
At least dozens of workers at the Technology Transformation Service were fired on Wednesday, a day after similar sudden cuts at the Consumer Financial Protection Bureau.
The limitations of language: AI models still lag behind humans in simple text comprehension tests
An international research team led by the URV has analyzed the capabilities of seven artificial intelligence (AI) models in understanding language and compared them with those of humans.
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Creating Custom Layers and Loss Functions in PyTorch
Creating custom layers and loss functions in
The Role of Domain Knowledge in Machine Learning: Why Subject Matter Experts Matter
Machine learning (ML) is considered the largest subarea of artificial intelligence (AI) , studying the development of software systems that learn from data by themselves to perform a task, without being explicitly programmed with the instructions to address it.
Meta SAM 2.1 is now available in Amazon SageMaker JumpStart
This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model …
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The CFPB Work Freeze Is Putting Big Tech Regulations ‘On Ice’
The cease-work order at the Consumer Financial Protection Bureau won’t just affect lawsuits and enforcement actions. It will stall regulation that could govern tech companies like Apple and Google.
Truly autonomous AI is on the horizon
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
New algorithm improves how AI can independently learn and uncover patterns in data
Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.