Using the expression of 17 key genes (messenger RNAs) it is now possible to distinguish primary and metastatic cutaneous melanoma, which is the most common type of skin cancer. While 11 of the 17 genes have already been reported by other studies for cutaneous melanoma, it is for the first time that the potential role of remaining six genomic signatures in classifying samples as either primary or metastatic skin cutaneous cancer has been made. The 17 genomic signatures, which were identified by a team led by Prof. Gajendra P.S. Raghava from the Indraprastha Institute of Information Technology (IIIT), New Delhi, have high accuracy -- over 89% -- in discriminating metastatic from primary skin melanoma. These signatures also have high sensitivity (in case tumour is metastatic), and high specificity (in case the tumour is primary). The results were published in the journal Scientific Reports.

Deep learning is hot right now. Applications such as voice recognition, facial recognition, language translation, medical diagnostics, self-driving vehicles, and even the detection of credit fraud, are becoming more and more woven into the fabric of modern life. Because of such successes, and the opportunities they open up for further extensions of the technology, deep learning is currently one of the most active fields in computer science research, and progress has been rapid. In this article we'll take a brief look at several of the latest trends in deep learning research. Perhaps the area of deep learning research that has received the most public notice in recent years relates to the advent of driverless cars and trucks.

Fixing algorithms may not be the best response to bias. Ethicist Tom Douglas offers a more radical approach to creating fairness, that aims for'substantive' rather than'procedural' fairness outside of design. Our lives are increasingly affected by algorithms. People may be denied loans, jobs, insurance policies, or even parole on the basis of risk scores that they produce. Yet algorithms are notoriously prone to biases.

Large automotive OEMs can boost their operating profits by up to 16% by deploying artificial intelligence at scale in their manufacturing. Despite this potential, the industry is making slow progress in taking AI from experimentation to enterprise deployments. One of the primary reasons for this is many OEMs don't know what use cases to focus on. But new Capgemini research reveals prime opportunities in the areas of manufacturing and operations. We analyzed 45 AI use cases across different functions – from R&D to customer/driver experiences – to assess which provided the greatest benefits.

This position assists with customer engagements including technical discussions and project monitoring and control. The Deputy Operations Manager directly to the Operations Manager and provides analysis on current and planned activities daily. Specific responsibilities include; organizing/scheduling meetings, managing project plans, action items and risks; creating meeting agendas and publishing meeting minutes; organizing project kickoff and Technical Exchange Meetings; supporting contract actions and financial tasks such as tracking invoices. ECS seeks a Deputy Operations Manager to support the development and integration of Artificial Intelligence (AI) and Cloud Solutions for a DoD Customer. The candidate will serve as a deputy to the Operations Manager of Field Support Operations on several fast-paced projects supporting the development of AI in the intelligence analysis arena.

Artificial intelligence and machine learning are important weapons in the cybersecurity arsenal but they're not yet a complete solution – or a substitute for human smarts. Are you cognisant of the hype around artificial intelligence and machine learning? It would be pretty hard not to be for anyone with a modicum of exposure to the world of business and technology. These technologies have been hailed as this century's great game changers – technologies that can "teach" robots to think and behave just as human beings do across an ever-increasing range of scenarios. High-tech research organisation IDC predicted Asia Pacific investment in AI systems would hit $5.5 billion in 2019; up 80 percent on the previous year's figures.

WASHINGTON (Reuters) - U.S. government funding in artificial intelligence has fallen short and the country needs to invest in research, train an AI-ready workforce and apply the technology to national security missions, a government-commissioned panel led by Google's former CEO said in an interim report on Monday. The National Security Commission on Artificial Intelligence (NSCAI), created by Congress last year, raised concerns about the progress China has made in this area. It also said the U.S. government still faces enormous work before it can transition AI from "a promising technological novelty into a mature technology integrated into core national security missions." The commission thinks an allied effort on AI in the realm of national security is important, Robert Work, vice chairman of the NSCAI and a former deputy secretary of defense, told reporters. The NSCAI has spoken with Japan, Canada, the United Kingdom, Australia and the European Union, Work said. China is investing more than the United States in AI, said the report, which referred to the Asian nation more than 50 times.

Guo Ping, rotating chairman of Huawei, has painted a stunningly optimistic picture of high-speed 5G wireless technology, claiming it will be "the new electricity" when combined with other emergent technologies such as artificial intelligence. Guo, who has worked at Huawei for over thirty years since he joined the firm as a 22-year-old, was speaking at the Web Summit technology conference in Lisbon, Portugal on Monday. Huawei employs a system whereby top execs rotate in and out of the position of chairman for months-long stints, while CEO Ren Zhengfei remains in place. Addressing a sold-out crowd, Guo drew a lengthy comparison between 5G and the technological harnessing of electricity for human use. He said: "5G plus'x' will create a smart new era. This'x' can be AI, big data or VR/AR, among other technologies. As you all know, 5G deployment has just begun. AI's applications for a range of industries are still in their infancy. I believe that in the future, 5G plus'x' will create countless possibilities for entrepreneurs."

CarServ, the operating system for auto repair, recently announced it will be participating in the 2019 AAPEX-SEMA Show in Las Vegas, taking place Nov. 5 through Nov. 8. Through on-site demonstrations and meetings, CarServ will share the latest advancements to help automotive repair facilities optimize business operations, communicate and improve customer retention. CarServ's leadership team will be available to discuss the details of the technology as well as potential applications and partnership opportunities. AAPEX-SEMA attendees can experience first-hand the benefits of a tech-savvy, modern alternative to shop management software. CarServ's technology is designed to simplify shop operations and eliminate common automotive software pain points: duplicate systems, repetitive data entry and dated communication tools.

Ulster University engaged with Dell Technologies and global partner NVIDIA to implement a high-speed computing power platform required to train AI models on ever-larger datasets. This is the first Dell Tech AI Ready Solution deployed in the EMEA region and represents a significant investment from the University. By putting in place next generation servers, high performance computing (HPC) software and other supporting infrastructure, researchers at Ulster University will be able to apply AI to predict illnesses before they emerge and put in place preventative measures that help to treat patients from the comfort of their own homes. The data scientist team at Ulster University's School of Computing are planning to use the transformative power of AI in detecting early signs of diabetic foot disease, enabling suffers to effectively manage the condition without hospitalisation. There are currently over 81,000 adults and 1,000 young people with diabetes in Northern Ireland and over 400 million adults globally.