Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

In a new study, scientists successfully trained a brain organoid derived from mouse stem cells to solve an engineering benchmark known as the “cart-pole problem.” By applying weak or strong electric ...

After college, she’d struggled to make a living as a freelance journalist, gone to grad school, then pivoted to what she hoped would be a more stable career in content marketing — only to find AI had ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

The company partnered with Google and OpenAI to offer certification programs.

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...

According to @timnitGebru, AddisCoder is offering a one-month free algorithms and coding camp for high schoolers in Ethiopia, with applications open until December 31. This initiative provides ...

Abstract: This paper explores methods for improving the training and inference performance of a Sigma-Delta spiking object detector by applying a series of training techniques and optimization ...