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Lia's creator Soul Machines is developing digital humans, complete with digital brains, who are portrayed by actual humans. Verizon's Labs showcases innovators like Soul Machines to explore how 5G networks support cutting edge technology that contributes to the betterment of society. Having the speed and bandwidth of a 5G connection is critical to ensuring that digital interactions feel humanized. In human-to-human engagement, the brain rapidly identifies and processes data points such as tone and non-verbal cues. In digital-to-human engagement, mimicking human-like interactions requires 5G's bandwidth and speed.

Data scientists are expected to know a lot -- machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. Within those areas there are dozens of languages, frameworks, and technologies data scientists could learn. How should data scientists who want to be in demand by employers spend their learning budget? I scoured job listing websites to find which skills are most in demand for data scientists. I looked at general data science skills and at specific languages and tools separately.

More than half of the world's active volcanoes are not monitored instrumentally. Hence, even very serious eruptions occur with no warning for nearby populations of the upcoming disaster. As a first and early step toward a volcano early warning system, a research project headed by Sébastien Valade from the Technical University of Berlin (TU Berlin) and the GFZ German Research Centre for Geosciences in Potsdam led to a new volcano monitoring platform that analyses satellite images using artificial intelligence (AI). Through tests with data from recent events, Valade and his colleagues demonstrated that their platform, Monitoring Unrest from Space (MOUNTS) can integrate multiple sets of diverse types of data for a comprehensive monitoring of volcanoes. The team's results were published in the journal Remote Sensing.

According to BlueWeave Consulting, The Global Artificial Intelligence (AI) Robots Market is expected to grow with a significant rate during the forecast period 2019-2025, owing to Increased efficiency and effectiveness demands of robots coupled with proliferated increasing usage of robotics in various industries. The increasing developments in the field of artificial intelligence, there has been an increasing shift towards providing autonomy to the machine will foster the global Artificial Intelligence (AI) Robots Market in the forecast period. Furthermore, organizations are seeking cheaper and more efficient labor given mounting labor costs, particularly in highly-specialized fields where employers have to bid up for top talent will accelerate the growth of the Artificial Intelligence (AI) Robots market. On the basis of Robot Type, the Artificial Intelligence (AI) Robots market has been segmented into Service and Industrial. Service dominates the global Artificial Intelligence (AI) Robots on account of increasing application use outside of a manufacturing facility within a professional setting like intended to interact with people, typically deployed in retail, hospitality, healthcare, warehouse or fulfillment set.

Development of the artificial intelligence industry still has a long way to go before it can become "real intelligence" and be applied in various sectors, industry experts and market insiders said. "At the present time, AI is still at the stage of machine learning. It is now driven by data," said Zhang Zhengyou, director of AI Lab & Robotics X at internet conglomerate Tencent. "A key issue that needs to be addressed for AI development is how to utilize the technology so that machines can know and understand people better," he explained. He made the remarks at the 2019 Global Artificial Intelligence and Robotics Summit held in Shenzhen from Friday to Sunday.

Elon Musk said startup Neuralink, which aims to build a scalable implant to connect human brains with computers, has already implanted chips in rats and plans to test its brain-machine interface in humans within two years, with a long-term goal of people "merging with AI." Brain-machine interfaces have been around for awhile. Some of the earliest success with the technology include Brown University's BrainGate, which first enabled a paralyzed person to control a computer cursor in 2006. Since then a variety of research groups and companies, including the University of Pittsburgh Medical Center and DARPA-backed Synchron, have been working on similar devices. There are two basic approaches: You can do it invasively, creating an interface with an implant that directly touches the brain, or you can do it non-invasively, usually by electrodes placed near the skin. Neuralink, says Musk, is going to go the invasive route.

Recent advancements in spine surgery have come in the form of robotics, a specialised approach to a complex procedure that allows planning a surgery and facilitates highly accurate and predictable execution of the plan. Robotics is particularly helpful in inserting implants in the spine; for a spine surgeon, robotics is a boon, and has marked the beginning of a new era in spine surgery. Planning is the foundation of surgical robotics; the ability to plan a surgery in an advanced 3D visual environment allows a surgeon to factor any unique anatomy or challenges associated with the patient much ahead of the surgery. The technology allows surgeons to use images from a computerised tomography scan (CT scan) taken before surgery to create a blueprint for each case. These images are loaded into a computerised 3D planning system so that in the operating room, surgeons do the physical surgery while the system guides his or her instruments based on pre-operative planning of spinal implant placement.

Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that "advances in automation technology will handle many tasks now done by people." The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.