The statistical study, the report outlines the Global Artificial Intelligence in Education System Industry including production, cost/profit, supply-demand, and import-export. The total market is further bifurcated into a company, by country, and by various segmentation for the competitive landscape study.

In a bid to create a more inclusive world using artificial intelligence (AI), an American multinational technology company has hosted its first-ever AI for Accessibility hackathon in Malaysia. The hackathon saw teams of IT professionals, university students and young developers working side-by-side with universities, international organisations, start-ups and non-profit organisations to tackle more than 23 different problem statements, identifying opportunities to use AI to build a more inclusive and accessible world. The hackathon was held concurrently across the Asia Pacific and saw over 400 participants in eight countries being brought together to conceptualise and prototype AI solutions that can transform the daily lives of people with disabilities. In Malaysia, the teams worked on problem statements provided by the Malaysian Federation for the Deaf. Technology solutions were developed to address challenges relating to daily life, communication and employment challenges for the deaf community and people with hearing disabilities.

In 2015, Google had to issue an apology when its photo app mistook a black user for a gorilla--revealing that algorithms are not free of bias, despite their apparent impartiality. The incident brought attention to a problem which had been slowly developing for years. Already in 2009, asiatic users reported that a digital camera was asking them not to blink when they took a photograph with their eyes open. The camera was sold by Nikon, a japanese firm. It's not surprising that artificial intelligence (AI) programs have inherited society's biases, conscious or not, given that they are trained on human decisions and on datasets collected by people.

ONE Tech, a subsidiary of Systena Japan, a TSE traded company, recently conducted successful AI (Artificial Intelligence) workshops in Tokyo and Osaka, Japan. The workshops were held on October 25th, and 28th respectively. The workshops were widely attended by hardware and software engineers from a variety of technology disciplines. During the workshops ONE Tech provided in-depth demonstrations of capabilities related to IoT Security and Predictive Maintenance. The demonstrations included reviews of ONE Tech's extensive AI frameworks and libraries.

Prof. Daniel Rückert has developed trailblazing computational techniques that generate highly informative images from CT and MRI scans, analyze them, and interpret them for improved medical diagnostics. TUM has now succeeded in recruiting this expert in AI-based medicine. The Alexander von Humboldt Foundation will support his research with one of the prestigious Humboldt Professorships, which comes with a 5 million euro endowment. With these awards, the Alexander von Humboldt Foundation is pursuing the goal of attracting leading international scientists to Germany on a long-term basis. In May, Federal Minister of Education and Research Anja Karliczek announced the goal of creating additional AI-related chairs.

Known as the "Nobel Prize of computing," the Turing Award is regarded as the highest honor in computer science. The three researchers received this prestigious accolade for their contributions to deep learning, a subset of artificial intelligence (AI) development that's largely responsible for the technology's current renaissance. While deep learning has unlocked vast advances in facial recognition, natural language processing, and autonomous vehicles, it still struggles to explain causal relationships in data. Not one to rest on his laurels, Bengio is now on a new mission: To teach AI to ask "Why?". Bengio views AI's inability to "connect the dots" as a serious problem. Deep learning's pattern recognition capabilities have revolutionized technology.

Will artificial intelligence (A.I.) and machine learning carve up the tech industry into "haves" and "have nots"? That's the thesis presented by a recent article in The New York Times, which suggests that, while ultra-monetized companies such as Google and Facebook can fund as much A.I. research as they need, academic institutions and smaller firms are being left behind. "The huge computing resources these companies have pose a threat--the universities cannot compete," Craig Knoblock, executive director of the Information Sciences Institute at the University of Southern California, told the newspaper. The Times points to OpenAI, which launched as a nonprofit designed to prevent A.I. from being used in terrible and unethical ways, as an example of this trend. OpenAI has since evolved into a "capped" for-profit company, and reportedly plans to use any revenues to fund its computing infrastructure.

Worldwide, the annual value of securities transactions is nearing US$2 Quadrillion, (DTCC). Financial services, already in the top 5 in digital transformation and technology adoption, is moving rapidly to embrace the 5th Machine Age Unlimited X-Revolution. What is the 5th Machine Age Unlimited X-Revolution? The "5th Machine Age" term refers to the rapid integration of artificial intelligence (AI) across all industries and particularly through an area of AI called machine learning (ML). This is accentuated by the ACM (No.1 in computing science) in March announcing their A.M. Turing Award Winners and deep learning pioneers Geoffrey Hinton, Yoshua Bengio and Yann LeCun.

Engineers are making strides on the design of four-legged robots and their ability to run, jump and even do backflips. But getting two-legged, humanoid robots to exert force or push against something without falling has been a significant stumbling block. Now engineers at MIT and the University of Illinois at Urbana-Champaign have developed a method to control balance in a two-legged, teleoperated robot -- an essential step toward enabling a humanoid to carry out high-impact tasks in challenging environments. The team's robot, physically resembling a machined torso and two legs, is controlled remotely by a human operator wearing a vest that transmits information about the human's motion and ground reaction forces to the robot. Through the vest, the human operator can both direct the robot's locomotion and feel the robot's motions.

Vancouver, WA: ZoomInfo, the global leader in go-to-market (GTM) intelligence solutions, today announced the acquisition of Seattle-area based technology startup Komiko, whose technology will integrate into the ZoomInfo Powered by DiscoverOrg platform. Designed to accelerate the sales pipeline with valuable analytics, Komiko's AI-powered CRM automation, playbooks, and predictive analytics will be released as ZoomInfo InboxAI. Founded by Microsoft executives Hal Howard and Ami Heitner, Komiko utilizes machine learning and data science to better automate the CRM process. Now as a function of ZoomInfo InboxAI, the technology can capture contact and activity data buried deep in the email inboxes and calendars of sales representatives. That data is then populated within the CRM system of record -- triggering alerts and generating analytics essential to supporting renewals, managing new business pipelines, and giving every organization a 360-degree view of customers, prospects, and partners.