Category: AI/ML News

The new model shows open-source closing in on closed-source models, suggesting reduced chances of one big AI player ruling the game.Read More

Samsung’s celebrated flagship soundbar does just enough to beat out the rest of its Dolby Atmos competitors.

Even highly realistic androids can cause unease when their facial expressions lack emotional consistency. Traditionally, a ‘patchwork method’ has been used for facial movements, but it comes with practical limitations. A team developed a new technology using ‘waveform movements’ to create real-time, complex expressions without unnatural transitions. This system reflects internal states, enhancing emotional communication …

Read more “Crossing the Uncanny Valley: Breakthrough in technology for lifelike facial expressions in androids”

These beard tools deliver a quality trim for all types of facial hair.

o3 solved one of the most difficult AI challenges, scoring 75.7% on the ARC-AGI benchmark. But does it really mean we’re closer to AGI?Read More

The Trump transition team is looking for “big changes” at NASA—including some cuts.

A new artificial intelligence (AI) model has just achieved human-level results on a test designed to measure “general intelligence.”

Here’s how GE Healthcare overcame challenges of 2D and created the industry’s first full-body 3D MRI research foundation model.Read More

These discounted tablets, headphones, and kitchen goods can still make it under the tree—if you hurry.

The field of machine learning is traditionally divided into two main categories: “supervised” and “unsupervised” learning. In supervised learning, algorithms are trained on labeled data, where each input is paired with its corresponding output, providing the algorithm with clear guidance. In contrast, unsupervised learning relies solely on input data, requiring the algorithm to uncover patterns …

Read more “Self-supervised machine learning adapts to new tasks without retraining”