Artificial Intelligence (AI) is moving full steam ahead in the U.S. workplace. By 2022, 60% of U.S. companies expect to be using AI or advanced automation to support efficiency in operations, staffing, budgeting or performance. Currently 24% of companies are using AI or advanced automation with an additional 36% planning to use it within three years -- and half of those (18%) within the next year alone. These insights stem from an opinion survey sponsored by Genesys . The survey examined the attitudes of American employers about the rising adoption of AI in the workplace.

In recent years, defense officials have been banging the drum about the importance of adopting artificial intelligence to assist with everything from operating autonomous platforms to intelligence analysis to logistics and back office functions. But the Pentagon is not pumping enough money into this technology, according to one expert. "The critical question is whether the United States will be at the forefront of these developments or lag behind, reacting to advances in this space by competitors such as China," Susanna Blume, director of the defense program at the Center for a New American Security, said in a recent report titled, "Strategy to Ask: Analysis of the 2020 Defense Budget Request." The request includes just $927 million for the Pentagon's AI efforts, about 0.13 percent of the department's proposed $718 billion topline, she noted. "Given the enormous implications of artificial intelligence for the future of warfare, it should be a far higher priority for DoD in the technology development space, and certainly a higher priority than the current No. 1 -- development of hypersonic weapons," she said.

DeepMind's New AI Tracks Serengeti Herds from Images Alone DeepMind, the U.K.-based AI research subsidiary acquired by Alphabet in 2014 for $500 million, today detailed ecological research its science team is conducting to develop AI systems that'll help study the behavior of animal species in Tanzania's Serengeti National Park. They extend the popular BERT architecture to a multi-modal two-stream model, processing both visual and textual inputs in separate streams that interact through co-attentional transformer layers.

An international drone race will be held in November as one of events of the Tokyo Motor Show, which will start in late October, the organizing committee said Monday. The event will be the first drone race in Japan officially approved by the World Air Sports Federation, the international body for sky sports, according to the committee. The drone racing will be held on Nov. 1-2 at a venue of the Tokyo Motor Show, among 60 professional and licensed racers. A meeting to discuss the air traffic control systems necessary for drones will also be held, in a bid to promote the use of drones in society.

We live in a world where technology is taking over every business industry with its rapid services and hassle-free operations. Artificial Intelligence is one such technology, where its automated process and ability to integrate intelligence into operations is creating its global presence among each business industry. It has revolutionized a machine into a smart machine which can function as a human and achieve business goals efficiently. Artificial Intelligence aims at building such efficient machines and computers that can operate logically without the need for any human intervention. Its data-based algorithms and data processing enables automated processing and allows machine learning as well as deep learning to follow.

Futurists, Amy Webb explains, are not oracles but they can give a good indication of the direction in which society is going. Amy Webb is a quantitative futurist – a "silly, made-up-sounding title", she says. You could be forgiven for not immediately grasping what a futurist actually does, but she likens it to something more akin to a journalist, except one that reports on trends that they see flowering on the edges of society, as opposed to the here-and-now news. Webb's professional background is varied. She spent her first year after high school studying clarinet and piano.

SAN DIEGO (KUSI) – Silicon Valley startup Cerebras has created a macro chip in the hopes of creating artificial intelligence. The chip is about 9 inches long and could be the future of powering devices like cell phones and computers. UC San Diego Professor Farinaz Koushanfar was at KUSI to discuss what this chip means for the future of technology.

Science, technology, engineering and mathematics (STEM) is the fastest-growing field of employment in the world, and also one of the largest fastest growing sectors. Traditionally, STEM sector industries have been male-dominated, but in recent years, there has been a rising interest in hiring women for these jobs. One of the underlying reasons for the opening up of the technologically advanced employment sectors for women is the emergence of artificial intelligence (AI) and machine learning technologies. The evolution of AI-based automation has made technology capable of performing an ever-increasing number of applications. We are not only witnessing enhanced automation, but also superior ease of usage.

FORT WORTH, TEXAS – Consumers got a glimpse of the future this week when an unmanned delivery drone jointly developed by Japan's Yamato Holdings Co. and U.S. aerospace manufacturer Bell Helicopter Textron Inc. made its first successful flight. Autonomous Pod Transport 70 was tested at Bell's proving ground in the suburbs of Fort Worth, Texas, on Monday. The two companies hope to put the drone into service in Japan by the early 2020s, before taking it global. The development of such drones comes amid rapid growth in parcel deliveries fostered by the trend for shopping online. The number of deliveries in Japan hit 4.25 billion in fiscal 2017, up 5.8 percent on the previous year, transport ministry data shows. The drones also come as Japan's labor shortages in the transportation sector are expected to grow more severe.

Nvidia and VMware today announced an enterprise-grade hybrid cloud on AWS that is optimized for machine learning, AI, and data science workflows. The VMware Cloud on AWS with Nvidia is capable of operating from cloud and on-premise servers and will make it easier to migrate VMware vSphere-based applications to the cloud to accelerate high-performance computing or machine learning for research, experimentation, and deployment in production. Today's news comes at the beginning of the VMworld conference in San Francisco and just days after VMware acquired cloud security and app development startups Pivotal and Carbon Black for $5 billion. Nvidia today also introduced vCompute Server for the GPU-accelerated deployment of workloads in virtual environments, including VMware's vSphere, vCenter, and VMware Cloud. The latest virtual GPU offering from Nvidia can make the completion of deep learning training up to 50 times faster than with a CPU alone.