Latest deep learning publications
NASA researchers have developed new deep learning techniques powered by Nvidia GPUs that can understand what’s happening beneath the sun’s surface and predict earth-damaging solar flares.
The intense heat created by our nearest star creates a boiling reaction which makes its surface bubbly. These bubbles (or granules) are visible when magnified through telescopic images and offer an indication of what’s happening beneath the sun’s outer layer.
LinkedIn has developed an AI model for its jobs section that automatically generates screening questions for job listings.
In a paper uploaded to computer science pre-print server Arxiv, company researchers detailed the new Job2Questions application, which leverages deep transfer learning, a subcategory of machine learning, to generate appropriate screening questions for candidates.
British businesses are in dire need of more deep learning talent and risk falling behind other countries if the skills gap is not bridged, according to new research.
AI firm Peltarion surveyed UK and Nordic firms about the impact of the AI skills shortage on their businesses. 83 percent of the AI decision-makers surveyed said the deep learning skills shortage is hampering business productivity and competitiveness. 49 percent said AI projects had been delayed due to the gap, while 44 percent said the shortage was preventing further investment in the technology.
Cyber AI specialist Darktrace has launched a new cyber security tool that emulates real life thought processes to investigate cyber threats at a fraction of the speed of humans.
The UK security firm has been developing the technology behind Cyber AI Analyst for three years at its R&D centre in Cambridge, where researchers used a combination of unsupervised, supervised and deep learning to obtain an algorithmic thumbprint of human intuition and cyber analyst know-how. 100 “world-class” cyber analysts representing a variety of customer deployments were studied as part of the research, the company said.