Tag: Artificial intelligence

Artificial intelligence shows better results in detecting skin cancer than experienced dermatologists, researchers said Tuesday. A study published in the Annals of Oncology found that a form of artificial intelligence or machine learning known as deep learning convolutional neural network (CNN) is better than human dermatologists at detecting skin cancer.

CNN is a class of deep artificial neural networks inspired by biological processes in that the neurons in the brain are connected to each other and respond to what the eye sees.

A team of researchers from Germany, the United States, and France trained an artificial intelligence system to discover dangerous skin cancer by showing it more than 100,000 images of malignant melanomas and benign nevi.

They compared CNN’s performance with the performance of 58 international dermatologists. They found that CNN missed fewer melanomas and misdiagnosed benign moles as malignant less often than the dermatologists.

The CNN has the ability to learn fast by seeing images and teaching itself in order to improve its performance considering what it has learned (a process is known as machine learning).

“When dermatologists received more clinical information and images at level II, their diagnostic performance improved. However, the CNN, which was still working solely from the dermoscopic images with no additional clinical information, continued to outperform the physicians’ diagnostic abilities,”  said professor Holger Haenssle, author of the study and senior managing physician of the Department of Dermatology at the University of Heidelberg in Germany.

The results show that CNN surpassed the dermatologists as well as well-trained experts in detecting melanomas.

Read Full Article

Facebook looking to build its own chips for which it has started to form a team of people who can work on chip designs. According to job listings and sources familiar with the matter, Facebook is joining other technology companies that have invested in building their own chips.

The company is looking to hire a manager to create an “end-to-end SoC/ASIC, firmware and driver development organization,” according to a job listing on its corporate website, suggesting the plan is coming together.

Apple has already started shipping its self-branded chips inside its iOS devices in 2010 and now uses them in within many of its product lineups. Alphabet Inc.’s Google produces custom artificial intelligence chip and added its first consumer-focused silicon in the Pixel 2 in 2017.

The Menlo Park, the California-based company would join other tech giants to reduce their dependence on chipmakers such as Intel Corp. and Qualcomm Inc.

Facebook could use such semiconductors to power artificial intelligence software, servers in its data centers, and hardware devices. Next month, it will also release the Oculus Go, a virtual-reality headset that runs on a Qualcomm processor.

On Wednesday, Yann LeCun, the company’s AI researcher tweeted about some of the job postings, asking candidates interested in building chips for AI. While Facebook looking to build its own chips, it declined to comment on the job postings.

The job descriptions are categorized based on two fields: chips for artificial intelligence also called machine learning, and chips for Facebook’s Oculus virtual reality headsets.

Other jobs are for the system-on-a-chip design popular in smartphones, energy-efficient devices, and for Oculus-related development of SOC processors.




Read Full Article