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SpaceX to Launch Japanese Startup’s Lunar Missions

A Japanese startup called Ispace is shooting for the moon, and SpaceX is going to help. The company wants to lead the charge in the search for large water ice deposits on the lunar surface, and it has two missions planned to make it happen. Both missions, currently slated for 2020 and 2021, will fly on SpaceX rockets.

Ispace was among the companies competing for the Google-backed Lunar Xprize — it funded the Japanese “Hakuto” team. That challenge to land a rover on the moon dragged on for years as the list of competitors dwindled until the last team failed to secure a place aboard an Indian rocket. Ispace didn’t make it that far, but it was in the final five. Google declined to extend the cash prizes (totaling $25 million) in March of this year after pushing back the deadline several times as teams struggled to get their robots launched.

Ispace isn’t letting that failure bog it down. The first of its two planned lunar missions will consist of an orbital module. The second will be more ambitious with a pair of rovers going all the way to the surface. These are mainly technology demonstration missions rather than true ice scavengers, though.

What Is Big Data?

In this video, we’ll be discussing big data – more specifically, what big data is, the exponential rate of growth of data, how we can utilize the vast quantities of data being generated as well as the implications of linked data on big data.

[0:30–7:50] — Starting off we’ll look at, how data has been used as a tool from the origins of human evolution, starting at the hunter-gatherer age and leading up to the present information age. Afterwards, we’ll look into many statistics demonstrating the exponential rate of growth and future growth of data.

[7:50–18:55] — Following that we’ll discuss, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI).

Over 2,000 European AI experts join hands to challenge US, China in artificial intelligence

The alliance urges the European Commission to implement an AI strategy for the EU as a whole along the lines of the US National AI Research and Development Plan that was released in late 2016, and China’s Next Generation AI Development Plan that was issued the following year.


More than 2,000 researchers join forces to urge EU to help continent build ‘Google-style’ infrastructure as counterweight to the two leading AI players.

Es Devlin to design interactive Poem Pavilion for Dubai Expo 2020

British set designer Es Devlin has been chosen to create the UK Pavilion at the Dubai Expo 2020, with a performative structure that will use artificial intelligence to write poems.

Called the Poem Pavilion, the structure will feature an illuminated “message to space” made up of numerous AI-generated poems, which the Expo’s anticipated 25 million visitors will be invited to contribute to.

The 20-metre-high, cone-shaped pavilion will be made up of rows of protruding slats that extend outwards from one central point to form a circular facade. Poems lit up in LEDs will scroll across the facade.

How is technology transforming Chinese tourism?

September 27 is World Tourism Day, which has been celebrated each year by the United Nations World Tourism Organization since 1980. The theme this year is “Tourism and the Digital Transformation,” as digital technology has permeated the tourism industry.

Virtual reality, augmented reality, artificial intelligence, Internet-plus — these terms have gradually become familiar to people travelling in China, as the country is heading to its tourism industry 3.0. A wide range of cutting-edge technologies have been innovatively applied in almost every part of China’s tourism industry.

A smart robot helps a passenger carry a handbag at Ningbo Railway Station in Zhejiang Province, on August 7, 2017. The smart robot has been activated to help passengers search for ticket fares, print route maps and carry their luggage. [Photo: VCG]

DNA Money Edit: Telecom sector awaits a turnaround

The new digital communications policy (NDCP) 2018, approved by the Cabinet on Wednesday, looks too good to believe. It has promised to create an additional four million jobs in five years and reskill another one million people in new-age skills and sectors such as 5G LTE and artificial intelligence. Six lakh villages will be connected which will eventually lead to creating jobs and several earning avenues such as managing WiFi hotspots and laying optical fibre, among others. The policy will give an impetus to the job market.

NDCP is bound to create a massive infrastructure and help the debt-ridden telecom sector emerge from its current turbulence. The policy document envisages the reduction in levies and ease of doing business, and this will help restore the financial health of the long-bleeding sector. The focus will be on the proliferation of telecom services and facilitating low-cost financing. The government’s ambitious plan of Digital India will get a booster shot. Thanks to the promise of 50 Mbps speed in the broadband connection, the consumer will be the ultimate beneficiary.

Plans are afoot to reform the licensing and regulatory regime to facilitate investments and innovation, besides promoting ease of doing business. The success of the policy will depend on the execution of the policy.

Salesforce’s Einstein has found its voice

Salesforce has showcased new natural language features for enabling its Einstein AI platform to further simplify the work of sales agents, marketers and business leaders.

On ‘AI Day’ at the Dreamforce conference, members of Salesforce’s data science team demonstrated how Einstein Voice—an emerging speech interface—can be used to better access sales figures and projections, automate repetitive tasks, and receive business insights, including through Amazon’s and Google’s smart speakers.

Jim Sinai, Salesforce’s vice president of marketing, said in a keynote that Salesforce had been working on Einstein Voice for the last year to better deliver Einstein’s data discovery, deep learning and machine learning capabilities.

DeepMind’s New Research on Linking Memories, and How It Applies to AI

DeepMind is providing more research to show how neuroscience can inspire more sophisticated AI.


There’s a cognitive quirk humans have that seems deceptively elementary. For example: every morning, you see a man in his 30s walking a boisterous collie. Then one day, a white-haired lady with striking resemblance comes down the street with the same dog.

Subconsciously we immediately make a series of deductions: the man and woman might be from the same household. The lady may be the man’s mother, or some other close relative. Perhaps she’s taking over his role because he’s sick, or busy. We weave an intricate story of those strangers, pulling material from our memories to make it coherent.

This ability—to link one past memory with another—is nothing but pure genius, and scientists don’t yet understand how we do it. It’s not just an academic curiosity: our ability to integrate multiple memories is the first cognitive step that lets us gain new insight into experiences, and generalize patterns across those encounters. Without this step, we’d forever live in a disjointed world.

Why trackless trams are ready to replace light rail

I began my life as an activist academic in 1979 when the Western Australian government closed the Fremantle railway, saying buses would be better. Patronage immediately fell by 30% and I ran a four-year campaign to save the railway. We won. I have been writing books and running campaigns ever since on why trains and trams are better than buses. But I have changed my mind. The technology has changed, and I think it will end the need for new light rail.

“Trackless trams” are based on technology created in Europe and China by taking innovations from high-speed and putting them in a bus.

I went to China to check out the CRRC trackless tram (they call it autonomous rail transit, or ART). I came back convinced it’s a transformative transit technology.

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