At CogX London 2018 (11-12 June) – Festival of All Things AI, Blockchain, and Emerging Tech – we’re really looking forward to a panel from techUK which will be
looking at ‘Ethics beyond GDPR – How businesses can think and act beyond legal compliance’, featuring:
Today, we really enjoyed reading about global law firm Norton Rose Fulbright’s new chatbot which helps clients in non-EU jurisdictions (including South Africa) to determine whether the GDPR applies to their business.
Read on to learn about India’s AI strategy, Didi Chuxing’s move into California, the growing use of ML in enterprises, and more.
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Chinese ride-hailing firm Didi Chuxing has been given a permit to test self-driving cars in California. The company is allowed to test autonomous vehicles in the state as of May 10, according to the California Department of Motor Vehicles’ website.
Didi, which bought out Uber’s Chinese unit in 2016, is one of a number of Chinese firms looking to gain an edge over Silicon Valley tech giants. Internet firm Baidu obtained its own permit to test driverless cars in California in 2016. It also established a research center in San Francisco to boost its artificial intelligence efforts. We also enjoyed reading about how MIT built a self-driving car that can navigate unmapped country roads, without relying on 3D maps.
An Indian government-appointed task force has released a comprehensive plan with recommendations to boost the AI sector in the country for at least the next five years — from developing AI technologies and infrastructure, to data usage and research.
The task force, appointed by India’s Ministry of Commerce and Industry, proposes that the government work with the private sector to develop technologies, with a focus on smart cities and the country’s power and water infrastructure. It recommends a network of infrastructure — a testing facility, and six centers focusing on research in generating AI technologies, such as robotics, autonomous trucks and advanced financial technology.
Enterprise machine learning within business organisations is all set to double by this year while smartphone usage is set to grow with sales reaching 1.85 billion per year by 2023, a new study has found.
According to Deloitte Global’s Technology, Media and Telecommunications Predictions, business organisations will likely double their use of machine learning technology by the end of 2018 as they seek to ramp up productivity. The report noted that the growth in new semiconductor chips will increase the use of machine learning, enabling applications to use less power, and at the same time become more responsive, flexible and capable.
The China Foundation for Cultural Heritage Conservation has teamed up with Intel to employ drones to do the restoring. These drones are remotely controlled so that the user can pilot them through twists and turns.
The vice-president and general manager of Intel’s drone team Anil Nanduri said, “Using drones, we are able to inspect multiple aspects of the structure, including areas that are quite inaccessible.” Intel will use its own Falcon 8+ drones and AI technology to search for damaged sections of the Great Wall. The 6-bladed drones use carbon fibre chassis and are fitted with latest tracking and imaging technologies.
Virginia Eubanks writes about how since since 2010, she has crossed the country studying and writing about the impact of hi-tech tools on public service programmes. She says that in each place she visited, policymakers, data scientists, and social workers told a remarkably consistent story: there is extraordinary need for public programmes and not enough help to go around.
The result has been an explosion of digital tools for managing poverty – and for alleviating the uncomfortable feeling that we’re not doing enough to address economic suffering. Automated eligibility systems remove discretion from frontline caseworkers and replace welfare offices with online forms and privatised call centers. What seems like an effort to lower program barriers and remove human bias often has the opposite effect, blocking hundreds of thousands of people from receiving the services they deserve.
Check out AI Cheatsheet. The goal of this project (by COMUZI and Sekyeong Kwon) is to demystify and educate the wider community, outside the field of AI, to find out what it can do and what it shouldn’t do.
The project includes definitions of terms like ‘data mining’ and ‘algorithmic bias’ and also contains sections on what AI can do and what AI shouldn’t do.
Amazon started widely selling its Echo speaker, voiced by the Star Trek-inspiredpersonal assistant Alexa, in 2015. That year, 6,050 baby girls in the
United States were named Alexa, or 311 for every 100,000 female babies born.
Chinese AI solution provider Unisound announced that it has raised a US$100 million series C round led by China Electronics Health Fund, a fund established by China Electronics Corporation Data (CEC Data), one of China’s biggest telecommunications equipment maker.
Founded in 2012, Beijing-based Unisound provides voice recognition, language processing and big data solutions to Internet of Tings (IoT) devices such as home appliances, automobiles, healthcare and education products. This month, the firm will release
its AI chip, which it has spent three years developing for IoT.
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