News

Frontiers19d
Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images
Purpose: To develop and evaluate a deep learning ... for a single image, this study only evaluated its performance on individual lesion types in isolation. As a result, we have not yet assessed its ...
MiniMax-M1 is a new open source model with 1 MILLION TOKEN context and new, hyper efficient reinforcement learning
MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.
BBC1d
Should schoolchildren have jobs?
Neil and Sophie talk about gene editing, designer babies and how many errors Neil might have in his genetic code.
CIO2d
11 most in-demand AI jobs companies are hiring for
Deep learning engineers are responsible for heading ... they require specific input prompts to achieve desired outputs. Prompt engineers typically need experience and skills around AI research ...
BBC1d
Transport of the future
Are the days of paying by cash for a latte or a newspaper nearly gone? Alice and Neil discuss Neil's fondness for loose change... Tea comes in different forms – milky, sweet or spicy. Alice and ...
IEEE27d
DrlGoFPGA: FPGA Global Placement Considering Input-Output Buffer Based on Deep Reinforcement Learning and Gradient Optimization
Abstract: The placement of the input-output buffer (IOBUF ... which combines IOBUF placement based on deep reinforcement learning (DRL) with other instances placement based on gradient optimization ...