Tag Archive for: Artificial

Rethinking the artificial intelligence race

/in


Artificial intelligence (AI) has become a buzzword in technology in both civilian and military contexts. With interest comes a radical increase in extravagant promises, wild speculation, and over-the-top fantasies, coupled with funding to attempt to make them all possible. In spite of this fervor, AI technology must overcome several hurdles: it is costly, susceptible to data poisoning and bad design, difficult for humans to understand, and tailored for specific problems. No amount of money has eradicated these challenges, yet companies and governments have plunged headlong into developing and adopting AI wherever possible. This has bred a desire to determine who is “ahead” in the AI “race,” often by examining who is deploying or planning to deploy an AI system. But given the many problems AI faces as a technology its deployment is less of a clue about its quality and more of a snapshot of the culture and worldview of the deployer. Instead, measuring the AI race is best done by not looking at AI deployment but by taking a broader view of the underlying scientific capacity to produce it in the future.

AI Basics: The Minds We Create 

AI is both a futuristic fantasy as well as an omnipresent aspect of modern life. Artificial intelligence is a wide term that broadly encompasses anything that simulates human intelligence. It ranges from the narrow AI already present in our day-to-day lives that focuses on one specific problem (chess playing programs, email spam filters, and Roombas) to the general artificial intelligence that is the subject of science fiction (Rachel from Blade Runner, R2-D2 in Star Wars, and HAL 9000 in 2001: A Space Odyssey). Even the narrow form that we currently have and continually improve, can have significant consequences for the world by compressing time scales for decisions, automating repetitive menial tasks, sorting through large masses of data, and optimizing human behavior. The dream of general artificial intelligence has been long deferred and is likely to remain elusive if not impossible, and most progress remains with narrow AI. As early as the 1950’s researchers were conceptualizing thinking machines and developed rudimentary versions of…

Source…

EdTech and Smart Classroom Market to Reach USD 251.78 billion by 2027; Rising Adoption of Artificial Intelligent to Bolster Growth: Fortune Business Insights™

/in


Pune, Feb. 01, 2021 (GLOBE NEWSWIRE) — The global edtech and smart classroom market is set to gain traction from the increasing adoption of machine learning (ML) and artificial intelligence (AI). This information is given by Fortune Business Insights™ in a new study, titled, “EdTech and Smart Classroom Market Size, Share & COVID-19 Impact Analysis, By Instructional Aids (Smart Classroom, and Mobile Learning), By Hardware (Interactive Projectors, Interactive whiteboards, and Others), By Educational Tools (Admission Automation Tools, Administration Tools (ERP & CRM),  Learning Management Tools, Alumni Management Tools, Placement Management Tools, Library Management Tools), By Technology (Gamification, Analytics, Enterprise Resource Planning (ERP), Advanced Technology (AI, AR, VR, Robotics, and Blockchain) and Others), By End-User (Higher Education, K-12, and Kindergarten), and Regional Forecast, 2020-2027.” The study further mentions that the market size was USD 74.33 billion in 2019 and is projected to reach USD 251.78 billion by 2027, exhibiting a CAGR of 16.6% during the forecast period.

COVID-19 Pandemic: Growing R&D Activities to Affect Industry Positively

The COVID-19 pandemic has taken a toll on the education industry across the globe. Therefore, policymakers are taking initiatives to deploy effective learning solutions for increasing students’ engagement. The pandemic has also accelerated research and development activities to develop new edtech and smart classroom solutions that would help students to continue their education smoothly. Our reports provide detailed insights into the industry for helping you grow your business amid this difficult situation.

To get to know more about the short-term and long-term impact of COVID-19 on this market,

please visit: https://www.fortunebusinessinsights.com/edtech-and-smart-classroom-market-104662

How Did We Develop This Report?

We have conducted extensive primary and secondary research to gather information about various aspects of this report. Our special interviews with end user respondents and supply side respondents helped in gaining insights into the average pricing, per capita consumption…

Source…

Artificial Intelligence And The Power Sector A Promising Future

/in


The world is moving towards digitisation. A lot of us across the world are working from home and attending meetings via Zoom, Teams, Slack , Yammer, and WhatsApp video calls. The pandemic has reinforced the value of digitisation in our lives and compelled the uninitiated to quickly learn the new skills for staying relevant and useful for their business. Keeping in line with this trend, a lot of verticals in the economy are moving to upcoming technologies like Data Analytics, Artificial Intelligence, Internet of Things, etc. One of these verticals is the power sector.

Artificial intelligence (AI) has the potential to cut energy waste, lower costs, and accelerate the use of clean renewable energy sources in power grids globally, along with improving the operation, maintenance, control, planning and plan execution of power systems. AI is thus closely tied to renewable, clean as well as affordable energy that is necessary for development. The power sector has a bright future with the advent of AI-managed smart grids if implemented well. In addition, AI brings the customer back in focus by connecting power generators, gird managers and end consumers to be connected and served efficiently and better. It must also be stated that AI is also employed to reduce the environmental impacts from thermal power plants, improve their performance and thus play a more efficient role in supplying power to the grid.

AI powers electrical grids that allow two-way communication between utilities and consumers. Smart grids are embedded with an information layer that allows communication between its various components so they can better respond to quick changes in energy demand or urgent situations. This information layer, created through widespread installation of smart meters and sensors, allows for data collection, storage, and analysis. Given the large volume and diverse structure of such data sets, techniques such as machine learning, Internet of Things, etc are best suited for their analysis and use. This analysis can be used for a variety of purposes, including seamless fault detection in meters, predictive maintenance needs, quality monitoring of sustainable energy, as well as renewable energy…

Source…

Artificial Intelligence: a Silver Bullet in Cyber Security? CPX 360 Keynote

/in