If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Sweeping changes to England's planning system will "cut red tape, but not standards," Housing Secretary Robert Jenrick has said. Under draft new laws, first revealed on Sunday, developers will be granted "automatic" permission to build homes and schools on sites for "growth". It follows Boris Johnson's pledge to "build back better" after coronavirus. But critics warn it could lead to "bad-quality housing" and loss of local control over development. Mr Johnson promised to speed up investment into homes and infrastructure in June to help the UK recover from the economic impact of coronavirus.
Syntiant Corp., the "neural decision processor" startup, announced completion of another funding round this week along with the shipment of more than 1 million low-power edge AI chips. The three-year-old startup based in Irvine, Calif., said Tuesday (Aug. The round was led by Microsoft's (NASDAQ: MSFT) venture arm M12 and Applied Ventures, the investment fund of Applied Materials (NASDAQ: AMAT). New investors included Atlantic Bridge Capital, Alpha Edison and Miramar Digital Ventures. Intel Capital was an early backer of Syntiant, part of a package of investments the chip maker announced in 2018 targeting AI processors that promise to accelerate the transition of machine learning from the cloud to edge devices.
Rigetti Computing, a leading quantum computing startup and pioneer in hybrid quantum-classical computing systems, has announced it closed a $79M Series C financing led by Bessemer Venture Partners. Franklin Templeton joins the round with participation from Alumni Ventures Group, DCVC, EDBI, Morpheus Ventures, and Northgate Capital. "This round of financing brings us one step closer to delivering quantum advantage to the market," said Chad Rigetti, founder and CEO of Rigetti Computing. The company is dually focused on building scalable, error-corrected quantum computers and supporting high-performance access to current systems over the cloud. Rigetti offers a distinctive hybrid computing access model designed for practical applications.
Artificial Intelligence and Blockchain are two common buzzwords that we get to hear these days. While one has already reached a critical point of implementation, the other is an emerging one. While AI offers automation and machine with cognitive intelligence of humans but data capabilities beyond their power, Blockchain is more like a new filing system for digital information, which stores data in an encrypted, distributed ledger format. Through the maintenance of a decentralized database architecture by Blockchain, the record and authentication of certain operations are subject to the agreement of several parties rather than a single authority. This enables the creation of tamper-proof, highly robust databases that can be read and updated only by those with permission.
From performing simple commands on smartphones using Alexa or Siri to high-end technical operations in big tech firms, one thing is sure: Ease is a necessity in the modern human experience. The 21st century has marked a rapid advancement of technology in every aspect of human life and interactions. Despite being around for many decades, the replication of human intelligence in machines -- artificial intelligence -- has now become popularized.
From performing simple commands on smartphones using Alexa or Siri to high-end technical operations in big tech firms, one thing is sure: Ease is a necessity in the modern human experience. The 21st century has marked a rapid advancement of technology in every aspect of human life and interactions. Despite being around for many decades, the replication of human intelligence in machines -- artificial intelligence -- has now become popularized. With many tech companies rushing to adopt the technology, the market size is expected to grow to $126 billion in 2025. Similarly, distributed ledger technology and cryptocurrencies have exceeded everyone's expectations and are looking to compete with traditional fiat currencies.
Convert the Xtrain and Ytrain data set into NumPy array because it will take for training the LSTM model.LSTM model has a 3-Dimensional data set [number of samples, time steps, features]. Therefore, we need to reshape the data from 2-Dimensional to 3-Dimensional. Below the code, snapshot illustrates a clear idea about reshaping the data set.Create the LSTM model which has two LSTM layers that contain fifty neurons also it has 2 Dense layers that one layer contains twenty-five neurons and the other has one neuron. In order to create a model that sequential input of the LSTM model which creates by using Keras library on DNN (Deep Neural Network). The compile LSTM model is using MSE (Mean Squared Error) for loss function and the optimizer to be the "adam".
Take for example, the loan origination and loan servicing process in a financial institution. There are 5 key activities amongst several that if changed can fuel better productivity. So, if an AI engine is in place at activity 2, it can process customer data regarding financial history and propensity to pay etc. and flag potential defaulters or fraudsters. Similarly, AI-based chat bots can help improve customer service (activity 4) by either automating the transaction completely or offering sentiment-analysis based insights to agents for better customer experience(see Figure 1). Bringing technology in these areas will improve productivity and reduce cost and effort, validating investment.
At a time like this, the banking sector is trying its hand, leg and even head to give a head-start to the AI developments. The financial services industry is appealing to enter AI market to avail the luxury of accurate data and investment. The development assists banks with better customer service, fraud detection, reduction of managing cost and easy decision-making through AI analysis. Customers have expectations that can't be turned down. Expectations to get work done faster and with zero error. The only by-standing solution is the utilisation of AI in the everyday banking sector.