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The latest market research, trends & landscape in the growing AI chatbot industry
With messaging apps on the rise, chatbots are all the hype now. Chatbots are artificial intelligence systems that interact with users via messaging, text, or speech. Many are deployed on chatbot platforms such as Facebook Messenger, WhatsApp, WeChat, Slack, or text messages. Facebook's expansion with Facebook Messenger has been giving businesses the opportunity to better reach their target audience through different APIs, and chatbots are becoming a necessity in certain industries. Despite the complexity of artificial intelligence used to pick content and context from conversations with users, there are a number of platforms and frameworks available to build a sophisticated chatbot.
CBI calls for special commission to look at the impact of AI on UK businesses
The Confederation of British Industry is calling on the Government to establish a joint commission tasked with examining the impact of Artificial Intelligence on people and jobs across all sectors of the UK economy. Based on research it conducted into the way that technology is changing the way we live and work, the CBI said on Friday that it had identified three technologies -- AI, Blockchain and the Internet of Things – that are set to move from the fringes to the mainstream within the next five years. It also found, however, that only a third of businesses currently have the skills and capabilities needed to adopt AI technologies, and that more therefore needs to be done to help prepare those companies for the future. The aim of the commission, the CBI said, would be to examine the impact of AI on people and jobs, and to subsequently set out plans for action that will "raise productivity, spread prosperity and open up new paths to economic growth". "The UK must lead the way in adopting these technologies but we must also prepare for their impacts," said Josh Hardie, deputy director-general of the CBI.
Designing the technology of 'Blade Runner 2049'
There's a scene in Blade Runner 2049 that takes place in a morgue. K, an android "replicant" played by Ryan Gosling, waits patiently while a member of the Los Angeles Police Department inspects a skeleton. The technician sits at a machine with a dial, twisting it back and forth to move an overhead camera. There are two screens, positioned vertically, that show the bony remains with a light turquoise tinge. Only parts of the image are in focus, however. The rest is fuzzy and indistinct, as if someone smudged the lens and never bothered to wipe it clean. Before leaving the room, K asks if he can take a closer look. The blade runner -- someone whose task it is to hunt older replicants -- dances over the controls, hunting for a clue. As he zooms in, the screen changes in a circular motion, as if a series of lenses or projector slides are falling into place. Before long, K finds what he's looking for: A serial code, suggesting the skeleton was a replicant built by the now defunct Tyrell Corporation. Throughout the movie, K visits a laboratory where artificial memories are made; an LAPD facility where replicant code, or DNA, is stored on vast pieces of ticker tape; and a vault, deep inside the headquarters of a private company, that stores the results of replicant detection'Voight-Kampff' tests.
GetStream.io: Why We Switched from Python to Go – codeburst
Switching to a new language is always a big step, especially when only one of your team members has prior experience with that language. Early this year, we switched Stream's primary programming language from Python to Go. This post will explain some of the reasons why we decided to leave Python behind and make the switch to Go. The performance is similar to that of Java or C . For our use case, Go is typically 30 times faster than Python.
AI news: CBI urges creation of AI commission in 2018
The CBI (Confederation of British Industry) is asking the government to launch an AI commission in 2018 to examine the effect of artificial intelligence on jobs. The CBI, an organisation that speaks on behalf of 190,000 businesses across the UK, has released a report titled'Disrupting the Future' which highlights how firms and the government must pave the way for the adoption of new technologies. It has called on the government to establish a joint commission in early 2018 involving business, employee representatives, academics and a minister to examine the impact of AI on people and jobs. It also hopes the commission will be able to set out an action plan to outline how to raise productivity, spread prosperity and open up new paths to economic growth. Josh Hardie, CBI deputy director-general, said: "The UK must lead the way in adopting these technologies but we must also prepare for their impacts. That's why we urge the Government to set up a joint commission on Artificial Intelligence in 2018, involving both business and employee representatives, to better understand the impact on people's lives, jobs and our future economic growth." The group said that only a third of businesses say their company has the skills and capabilities needed to adopt AI technologies and that blockchain can be used across sectors and will require regulator co-ordination to set clear standards. Furthermore, the main concern for businesses looking to use the IoT is the security and privacy of the devices involved.
Investors eye Artificial Intelligence and Machine Learning Made in Switzerland
Artificial intelligence (AI) is set to substantially disrupt the financial services industry, transforming how we bank, invest, and get insured. AI refers to machines that are capable of performing specific tasks that normally require human intelligence such as visual perception, speech recognition, decision-making, and language translation. AI and related technologies are made possible by the colossal volumes of data we are able to collect and process. AI has been all the buzz these past few years, and according to CB Insights, AI startups raised over US$2 billion in 2016 alone. In the area of financial services, AI is expected to bring major shifts in financial institutions' workforces.
BBC will use machine learning to cater to what audiences want to watch
Today, BBC's R&D team announced a five-year initiative to use machine learning to work out what audiences want to watch. To accomplish this, the team is partnering up with data scientists and experts from UK universities as well as media and tech companies based in Europe and internationally. The Data Science Research partnership intends to create "a more personal BBC" that can entertain in new ways. Researchers will analyze user data and apply algorithms to get marketing and media insights about audiences' preferences. The details are vague for now, but the team says it plans to use machine learning on its own digital and traditional broadcasting content to gain new insights.
Artificial intelligence commission needed to predict impact, says CBI
Britain's biggest employers are calling for a commission to examine the impact of artificial intelligence on jobs. Amid predictions of a workplace revolution threatening one in five jobs across the UK, the CBI is urging Theresa May to launch the commission from early 2018. It said companies and trade unions should be involved and the commission should help to set out ways to increase productivity and economic growth as well looking into the impact of AI. The business lobby group said almost half of firms were planning to devote resources to AI, while one in five had already invested in the technology in the past year. Companies are increasingly using computers to scour vast datasets in order to spot inefficiencies, while they are also employing machines to control the flow of activity in warehouses and factories and to take meter readings.
Introduction to Discrete Mathematics for Computer Science Coursera
The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. In the faculty, learning is based on practice and projects. National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more.
Exclusive: Infosys "re-imagining" tennis using AI Access AI
Infosys, a global leader in technology services and consulting, is aiming to reinvent the way people consume sport using extensive player data. The Indian firm, which had revenues of $9.5 billion in its last financial year, demonstrated its'Infosys Information Platform (IIP)' during the recent ATP Tennis tournament in London, of which it was a headline sponsor. Speaking to Access AI, the firm's head of energy and services for Europe Mohamed Anis, who joined in 2000, said Infosys uses machine learning to analyse historical data on player performance, which in turn is able to predict behaviour, shot selection, and even a probabilistic outcome of the match itself. Anis (pictured) said the data is delivered in real time and can be used to help spectators view the game/match on an entirely different level – comparable to that of the coach. "Tennis has been around for a very long time," explained Anis.