Tag: ai

It makes changes to the artwork, invisible to the human eye. While the artists vs. AI war keeps raging on, those concerned about copyright are looking for ways to eliminate artworks from text-to-image models' training databases. To help, researchers presented Glaze, a tool that can hide art from AI eyes. According to the paper, it [...]

Artificial intelligence (AI) has the potential to automate certain tasks and make certain jobs obsolete. However, it is also expected to create new job opportunities and enhance the productivity of existing jobs. The extent to which AI will cause job loss is a subject of ongoing debate, with some experts predicting significant disruption to the labor market, while others believe the impact will be more limited.

The adoption of artificial intelligence (AI) in Africa is driving innovation and economic growth on the continent. From agriculture to healthcare to finance, AI is being used to increase efficiency and improve outcomes. However, the adoption of AI in Africa is not without its challenges, including a lack of skilled professionals and limited investment in AI infrastructure. Despite these challenges, the use of AI in Africa is expected to continue to grow in the coming years

Google has expanded the availability of its Cloud Healthcare API in a bid to improve healthcare interoperability and help providers drive insights from myriad sources of medical data. Google's Cloud Healthcare API allows healthcare organizations to collect and manage various types of medical data via the cloud, including Digital Imaging and Communications in Medicine (DICOM), [...]

Digitally transforming or improving customers' experiences needs to be the cornerstone of any investment in new technologies or business processes.

Microsoft has revealed how it's applying machine learning to the challenge of correctly identifying which bug reports are actually security-related. Its goal is to correctly identify security bugs at scale using a machine-learning model to analyze just the label of bug reports. According to Microsoft, its 47,000 developers generate about 30,000 bugs a month, but [...]

A tool that can show why deep-learning modules make the decisions they do, enabling users to correct the inputs that lead to wrong decisions, and fix the architecture or retrain the system to prevent the same mistakes in future.