Even as a Brit, it can often feel like a translation app is needed between Bristolian, Geordie, Mancunian, Brummie, Scottish, Irish, or any of the other regional dialects in the country. For a geographically small country, we’re a diverse bunch – and US-made voice assistants often struggle with even the slightest accent.

The BBC thinks it can do a better job than the incumbents and first announced its plans to build a voice assistant called ‘Beeb’ in August last year.

Beeb is being trained using the BBC’s staff from around the country. As a public service, the institution aims to offer as wide representation as possible which is reflected in its employees.

The broadcaster also believes that Beeb addresses public concerns about voice assistants; primarily that they collect vast amounts of data for commercial purposes. As a taxpayer-funded service, the BBC does not rely on things like advertising.

“People know and trust the BBC,” a spokesperson told The Guardian last year, “so it will use its role as public service innovator in technology to ensure everyone – not just the tech-elite – can benefit from accessing content and new experiences in this new way.”

An early version of Beeb is now available for testing by UK participants of the Windows Insider program. Microsoft is heavily involved in the Beeb assistant as the company’s Azure AI services are being used by the BBC.

The first version of Beeb allows users to do virtual assistant norms like getting weather updates and the news, access radio and podcasts, and even grab a few jokes from BBC Comedy writers and facts from QI host Sandi Toksvig.

According to the broadcaster, Beeb won’t launch on dedicated hardware but instead will be designed to eventually be implemented in smart speakers, TVs, and mobiles.

While it still has a long way to go to take on the capabilities of Google, Alexa, Siri, and others, Beeb may offer a compelling alternative for accent-heavy Brits that struggle with American voice assistants.

Grab the Beeb app from the Microsoft Store here.

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The bill, passed on Wednesday, aims to accelerate the sweeping change of regulations across various fields to support the creation of such futuristic cities.

Addressing issues such as depopulation and an aging society will be the focus of the super cities. Technologies including big data and AI will be key to successfully tackling the challenging problems.

Large amounts of data will be collected and organised from across administrative organisations.

Local governments will be selected for the ambitious projects which will launch forums with the national government and private companies to take forward the plans.

Draft plans will be created from this deep public-private collaboration that will subsequently be submitted to the state government if approved by local residents.

As with many smart city plans, there are deep concerns about the collection of personal data and what it could mean for individual privacy. Local residents are sure to want assurance that any data collection is anonymous.

A similar bill was submitted to the Diet (Japan’s decision-making institution) last year. The bill was scrapped following calls from the ruling government to review it.

The revised bill was passed on Wednesday. Given the appetite for the project across the government; the plans are now expected to progress swiftly.

(Photo by Jezael Melgoza on Unsplash)

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Chang played a major role in this year’s AI & Big Data Expo in Santa Clara last week, taking part in both a solo presentation on “Process Automation from IoT Data” and a panel discussion on “Data and the Customer”.

Following the event, AI News decided to catch up with Chang to discuss LG’s current experience in artificial intelligence and where the industry is heading next.

How important is AI becoming to differentiate from competing products?

With artificial intelligence gaining traction across a range of industries, it’s becoming important to allow differentiation among competing products. LG’s pursuit of “Evolve, Connect, Open” when it comes to AI and ThinQ offers enhanced convenience for users with diverse needs and tech preferences in their homes through personalised, proactive, easy, and efficient solutions. This approach allows the company to align with and offer the most expansive list of smart integrations on the market – whether with Google Assistant, Amazon Alexa, or future partnerships.

Specifically, with our open approach, LG is progressing toward incorporating IoT technology throughout the entire journey – including the product design/concept, the launch of new helpful tools, and proactive OTA (Over-The-Air) updates. LG is working with world-class cloud partners from Amazon, Google, and Microsoft, and combining with in-house development to develop, customise, and operate our IoT platforms.

AI is key to differentiating your products on the market by offering more robust opportunities and offerings for the larger consumer base.

What challenges has LG faced moving into AI and how did it overcome them?

The biggest challenge we faced as a whole moving into AI was creating truly meaningful products that will help our customer base with their daily routines and truly improve their lives. Through listening to what they want, we were able to produce a line of help innovations that do just that. 

LG ThinQ products use voice control to interact with users, as well as sensor data and diverse features such as product recognition and learning engine technologies to enhance their performance.

Do you think the smart home is meeting expectations?  

The smart home is a growing trend within the AI industry thanks to the influx of helpful tools introduced across the field. While many advancements have been made in such a short timeframe, we are still in the first inning of this technology adoption.

LG is focused on delivering better consumer benefits with advanced technology that will continue to improve over time. We aim to make the home more proactive and personalised for users based on our behaviour data collected across the products servicing their many needs. Knowing more about our user and their life leads to enhanced performance and, ultimately, to a better life.

Will distributed ledger technologies be important for smart devices and are there any plans at LG ThinQ to use them? 

While we are actively looking at distributed ledgers, including blockchain technology, there is no specific timetable for implementation. We believe this would be useful to enable an open ecosystem where various companies and contributors can participate. 

Is there a specific area of the market you and the LG ThinQ team are excited about?

LG is committed to producing helpful innovations for consumers. One example is our new AI-infused customer service solution, Proactive Customer Care. It’s a new paradigm in customer satisfaction, one that ensures greater value and peace-of-mind for owners of our smart home appliances.  

When it rolls out in the United States next year, Proactive Customer Care will leverage ThinQ AI to provide personalised support, alerting users to issues with their LG appliance, and offering helpful tips and solutions to maximise performance and long product life. Using the latest in AI technology, LG Proactive Customer Care is designed to inform LG smart appliance owners of potential problems before they even occur – it can expedite technician visits, if needed, and offer guidance on how to keep LG’s products functioning optimally.

What did you speak about during this year’s AI Expo North America?

I was thrilled to take part in my first AI & Big Data Expo North America in Santa Clara. As part of my activities onsite, I welcomed interested attendees to visit the panel discussion on “Data and The Customer” where I was joined by fellow industry insiders to discuss in the relationship between the data collected from companies and its customers.  

I also conducted a solo presentation on the topic of “Process Automation from IoT Data.” I helped to define process automation for IoT data and how it is key to use not only the right platform for your business, but also one that allows true process integration and automation for optimisation. This is essential to our work at LG and helps shape our future product launches.

Interested in hearing industry leaders discuss subjects like this? , , , AI &

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Drive.ai is full of skilled personnel after being founded in 2016 by a pioneering team of graduates from Stanford’s AI lab. With AI talent in short supply, it seems Apple is considering purchasing a whole company to get the skills on its side.

Apple would not get any of Drive.ai’s intellectual property as part of the deal, only the minds behind it. While it’s unclear what Apple is considering paying for the startup, the company was believed to be valued at ~$200 million during a VC round in 2017.

The fact Apple is scoping out talent from a driverless car firm shows Cupertino’s continued interest in the area.

Back in January, Apple pulled around 200 employees off its self-driving car project which made some people question whether Cupertino had the ability (and resolve) to break into such an established industry with a minefield of regulatory needs that vary from location-to-location.

A self-driving car being tested by Apple had a rear-end collision with another vehicle last year. Fortunately, unlike Uber’s self-driving car incident, there were no injuries.

During an interview with CNN last November, Apple CEO Tim Cook expressed that his company is focused on the software side of autonomous vehicles. Acquiring talent from Drive.ai is a surefire way of boosting Apple’s in-house expertise in applying machine learning to cars.

deepgeniusai.com/">AI & Big Data Expo events with upcoming shows in Silicon Valley, London, and Amsterdam to learn more. Co-located with the IoT Tech Expo, , & .

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Those who follow cybersecurity will likely be unsurprised at the list, but Avast goes into the specifics of each threat.

“This year, we celebrated the 30th anniversary of the World Wide Web. Fast forward thirty years and the threat landscape is exponentially more complex, and the available attack surface is growing faster than it has at any other point in the history of technology,” commented Ondrej Vlcek, President of Consumer at Avast.

“People are acquiring more and varied types of connected devices, meaning every aspect of our lives could be compromised by an attack. Looking ahead to 2019, these trends point to a magnification of threats through these expanding threat surfaces.”

Adversarial AI

AI has primarily been used to aid in general tasks, or in the cybersecurity realm to recognise and defend against evolving threats. That is now changing as AI goes on the offense.

Avast predicts a greater number of ‘DeepAttacks’ in 2019. These new attacks, which began last year, use AI to generate convincing media to evade security controls or fool human users.

One example of a DeepAttack was the creation of a fake video showing former President Obama delivering sentences. The video was created for demonstrative purposes by Buzzfeed without malicious intent.

Some will use DeepAttacks to pretend to be people they’re not, potentially convincing unaware victims to hand over bank details or perform tasks.

As seen with the ‘DeepFakes’ trend of using AI to create adult videos featuring celebrity faces, similar videos could also be used to blackmail or embarrass people from all walks of society.

Evolving IoT threats

The Internet of Things (IoT) has already caused major problems – from botnets such as Mirai, to hackers virtually entering people’s homes.

Manufacturers often continue to prioritise getting new products out-the-door before competitors and security remains a dangerous afterthought.

Avast’s research has found manufacturers also overlook security to keep their costs low. In the coming year, Avast believes we’ll see IoT malware evolve similar to how PC and mobile did.

Fake Mobile Apps

Speaking of mobile threats, Avast foresees a continued growth of fake apps containing malware attempting to make their way onto users’ devices.

With some developers choosing to avoid official app stores, as we saw with Epic Games’ decision with Fortnite on Android, this provides an even greater potential for hackers to infect devices.

That doesn’t mean sticking to official stores guarantees safety. Avast flagged several fake apps which appeared even on the Google Play Store.

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Irakli started with a positive note that’s easily forgotten: never has the world been more safe, connected, and prosperous.

“We have developed technologies which have the potential to solve problems we never thought were possible,” says Beridze. “Most of them are related to the UN’s sustainable development goals.”

World-Changing Benefits

A look at the statistics provides evidence of a huge reduction in those dying from violence or living in extreme poverty. Many of the greatest threats we face today are shared challenges such as climate change, disease, and dwindling resources.

AI is a powerful tool which can help with all these challenges and more if we, as humankind, choose to use it this way. Alternatively, it could pose an existential threat.

Here are just some of the ways Beridze expects AI to aid the UN towards its goals:

Beridze dives deeper into some other potential benefits of AI to societies. A couple of the most interesting suggestions are its use to improve health and wellbeing, and to maintain peace, justice, and strong institutions.

Starting with health, Beridze highlights the use of AI to analyse large quantities of healthcare data in order to make scientific breakthroughs. Furthermore, it could be used to predict and project disease outbreaks to reduce mortality rates.

The impact of AI on healthcare is among our most covered subjects here on AI News. There are exciting developments on a near-daily basis.

Next up is the potential for AI when it comes to peace, law, and governance. Beridze believes AI can be integrated within an ‘e-government’ to reduce discrimination, prejudice, and corruption.

AI currently has a well-documented bias problem. However, solutions are becoming available to ensure the algorithms behind AIs are fair and do not favour any part of society over another. It’s ultimately easier to make a machine less discriminate than a person.

Global powers are seeking to establish themselves as leaders in AI. China and the US continue to be dominant by pumping billions of cash into developments, while smaller economies are playing to their own strengths.

Countries such as Japan are strong in fields such as robotics. The EU has the highest number of service robot manufacturing. Meanwhile, the UK is known for its leadership in ethics and strong academic attributes with leading universities.

There’s a now famous quote from Russian President Vladimir Putin speaking about AI which said: “Whoever becomes the leader in this sphere will become the ruler of the world.”

Putin’s quote was received in many ways. Some believe it was simply a matter of fact, while others saw it as confirmation of a potentially reckless race between world powers to become a leader.

AI-as-a-Threat

Regardless of what states do, criminals will seek to exploit AI for their own gain. This could take many forms, but one clear example is that of impersonation.

During Google’s I/O conference this year, the company showed off its Duplex demo where an AI assistant called a hair salon on a user’s behalf and was convincing enough to pass for a human. By training such a system with someone else’s voice, fraud could be completely automated.

Beridze will be meeting with Interpol next month to discuss the new risks posed by criminals using artificial intelligence, and how law enforcement agencies can work to counter them.

“When talking about the good sides of AI, we should never forget about the possible risks,” warns Beridze. “One of the biggest risks is the pace of development with how quickly it’s being developed and how fast we can adapt to that.”

One major concern is the potential impact on jobs. Low-wage workers are particularly threatened by automation.

“We don’t really have any solutions,” Beridze says. “We have some ideas that have been put on the table such as; Universal Basic Income, retraining of the population, some even say to slow down the pace of innovation.”

Other concerns highlighted by Beridze includes automated weapons, superintelligent systems like SkyNet famously depicted in the Terminator movies, and using things such as bots to influence democratic processes.

Solving International Verification

One of the most interesting uses for AI is for the verification of incidents where nations do not trust each other. This has perhaps been seen most often between Western nations and Russia where there’s still a clear level of distrust.

Take the recent chemical attack in Salisbury, UK on a former spy and his daughter. Western nations agreed it could only have been carried out by Russia. For its part, Russia denies the allegations and claims to have been locked out of seeing any evidence.

Beridze served as a special projects officer at the OPCW (Organisation for the Prohibition of Chemical Weapons) prior to joining UNICRI.

The OPCW is an independent organisation working alongside the United Nations that investigates chemical attacks. Members of OPCW represent around 98 percent of the global population.

Until a ruling last week, the OPCW was prohibited from assigning blame for a chemical attack. In Salisbury, the organisation stated it agreed with the UK’s findings the nerve agent of the kind first developed by the Soviet Union.

There have also been multiple chemical attacks in Syria. One particularly devastating attack in Douma was to be investigated by the OPCW but investigators claim they were blocked from accessing the site by Syria and its Russian allies.

Investigators were eventually provided access over a week after. However, Chlorine – at least one of the suspected chemicals used – is notoriously difficult to detect even a day after because of its gaseous state.

Russia and Syria both reject claims that chemical weapons were used. Moscow has offered several narratives on Douma, claiming simultaneously that there never was an attack and that it was the work of rebels in the area.

France said it was likely the evidence is gone, and the USA accused Russia and Syria of tampering with the site.

When everyone is pointing the finger at each other, there needs to be independent verification. Whenever people are involved there’s nearly always some accusations of foul play.

A provably unbiased, open-source AI which examines the evidence could be the answer.

“The time has come where we should employ technologies like AI and blockchain to start verification of issues where countries do not trust each other,” says Beridze. “We need to make a major leap from a system created in the [19]40s, to 80 years down the road where we live in a completely different world.”

Beridze’s session highlighted both the near-limitless potential for AI to have a positive impact on the world, or it could just as easily be devastating.

One thing is for sure, AI will transform our world. For better or worse, that’s up to all of us.

You can watch our interview with Irakli Beridze below:

Find out more about AI Expo and the next event here.

What impact do you think AI will have on the world?

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The panelists included Newcastle FC Sports Scientist John Fitzpatrick, Sport Lisboa e Benfica CIO Joao Copeto, and Sport Lisboa e Benfica Head of Analysis Nuno Maurício.

Fitzpatrick has been with Newcastle United for around five years and has witnessed the increasing demand for IoT and AI technologies. The football club had around five GPS units when he joined to analyse players’ movements, but this number has now swelled to over 100.

“Every player, from the first team down to the under 15s will be analysed in every training session,” says Fitzpatrick. ”Now it’s about talking about what we did in training and be more proactive and predictive with what we’re doing with the data.”

Protecting the personal data of athletes while collecting this data is a necessity. Certainly in Europe, with GDPR, it will soon be enshrined in law with severe penalties for non-compliance. Explicit consent for collecting and sharing player data must be received.

“Not only are we protecting the intellectual property of the club, but we’re working with data that is personal,” comments Copeto. “We need to be able to anonymise the data so we can share it without giving too much information.”

In many cases, like when sharing data with universities for their research, this data can be completely anonymised. Some of the most exciting possibilities, however, can only be unlocked by personally identifying players which may pose a problem.

Everyone knows and has an opinion on the huge salaries footballers get paid. They are costly enough to a club at the best of times, but an injury which puts a player out of action for say nine months provides even less value.

By using AI and predictive modelling, clubs may be able to predict injuries to certain players and their recovery time. Managers can then either take action to avoid the injury or make preparations for continuing without them.

“What we want to do is predict, this is what we’re looking for, everything else we can do,” explains Copeto. “The answer to AI in sport is prediction.”

To keep costs down whilst ensuring a team is as competitive as can be, AI could even be used for scouting talent. Players which could have the biggest impact can be identified earlier on in their careers when their salaries are less demanding than seasoned professionals.

“Can we perform tests on young players? Try and understand their trajectory as they grow older and whether they’ll become premier league players,” muses Fitzpatrick. “That would save us a lot of money if we can produce our own players rather than buying them in.”

Even more exciting for a club is to implement this knowledge into whether particular strategies are likely to result in a win. Much like a business, this is not information you want your competitors to know and therefore security must be a priority. In fact, rather than rely on an off-the-shelf cloud solution, Copeto iterates the need to build your own layer.

What data to share, and what not to, has long plagued technology companies. AI is a great example of where the technology advances quickest when data is open sourced and knowledge shared.

“Closed models are not successful, you need a very well defined model that’s open to changes,” comments Mauricio. “Then, it’s a question of communication inside.”

As alluded by Mauricio, sporting clubs often face the problem of how to even get internal teams to share. Sports performance experts, coaches, dieticians, science, doctors, and IT can all have trouble communicating, and their data can end up existing within their own silos.

Data has been collected from around the past ten years which can already recount things such as every touch of the ball a player has. Bringing all of this data together and using AI to make sense of it is what’s going to unlock the most, quite literally, game-changing advancements.

What are your thoughts on the use of AI in sport?

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The study, from an international team of computer scientists, found AI can be programmed with a higher degree of morality than humans. The researchers set out to build a new type of algorithm for playing games which requires working together rather than simply winning at all cost.

Jacob Crandall, BYU Computer Science Professor and lead author of the study, comments:

“The end goal is that we understand the mathematics behind cooperation with people and what attributes artificial intelligence needs to develop social skills. AI needs to be able to respond to us and articulate what it’s doing. It has to be able to interact with other people.”

In many real world applications, AI will have to compromise and cooperate with both humans and other machines. The ability to program AIs with friendly traits is unlikely to come as much surprise, but evidence they can express them better than humans opens up new possibilities.

Crandall and his team created an algorithm called S# and tested its performance across a variety of two-player games. In most cases, the machine outperformed humans in the games.

“Two humans, if they were honest with each other and loyal, would have done as well as two machines,” says Crandall. “As it is, about half of the humans lied at some point. So essentially, this particular algorithm is learning that moral characteristics are good. It’s programmed to not lie, and it also learns to maintain cooperation once it emerges.”

Take the current negotiations between Britain and the EU as the former exits the bloc. Both sides claim to want an ‘orderly exit’, but it’s clear human emotions are involved which keeps leading to deadlocks in the talks despite time running out. AI negotiators could run through all the scenarios and find the best areas to compromise without any feelings of mistrust.

“In society, relationships break down all the time,” he said. “People that were friends for years all of a sudden become enemies. Because the machine is often actually better at reaching these compromises than we are, it can potentially teach us how to do this better.”

What are your thoughts on AI morality?

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The new startup, Landing.ai, chose this industry to begin with as “it is through manufacturing that human creativity goes beyond pixels on a display to become physical objects. By bringing AI to manufacturing, we will deliver a digital transformation to the physical world.”

Ng believes AI technology is well suited to addressing the challenges facing manufacturing — such as variable quality and yield, inflexible production line design, inability to manage capacity, and rising production costs.

Landing.ai is partnering with one of the world’s most well known manufacturers, Foxconn, on the project. Many in the tech sphere will know Foxconn as the chosen manufacturer of Apple for many of their products.

Together, the companies say they are developing AI technologies, talent, and systems that build on the core competencies of both companies.

Ng believes AI will “revitalise” manufacturing jobs in the US and globally. Rather than replace jobs, he believes the next wave of manufacturing jobs will pay higher but also require new skills — therefore large-scale training or retraining will be required.

Back in September, we reported on research from Capgemini showing that — despite popular opinion — AI is creating new jobs.

Are you looking forward to seeing what Landing.ai can achieve?

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As the UK prepares to depart the EU, the Chancellor of the Exchequer is boosting funding of industries where the UK is already emerging a leader to help solidify its position on the world stage.

£75 million will be set aside for artificial intelligence to build on the existing success stories from the likes of Cambridge-based DeepMind — which was acquired by Google for £400 million back in 2014. Up to £20 million will support companies developing AI services while £45 million will support increasing the number of PhD students studying AI each year.

Part of the reason for the lack of electric vehicle adoption in many European countries is the lack of supporting infrastructure. £400 million will be invested in charging points along with a further £100 million to boost purchases of clean cars.

This infrastructure will also help with the deployment of driverless cars — but the biggest hurdle remains setting insurance and regulatory policies. Speaking to our sister publication IoT News back in January, Jeremy Dalton, CTO of TravelSpirit, noted the Department for Transport’s work to create an environment for autonomous vehicles to be developed with little hindrance.

5G will enable greater connectivity and open up new possibilities for the IoT. Driverless cars and their connected features will likely require this next-generation mobile technology for its greatly reduced latency and increased reliability. A further £35 million will be made available to ensure rail passengers have reliable and “lightning-speed” connections during journeys. Trials will begin on the Trans-Pennine route which connects Leeds, Manchester, and Liverpool.

Other related announcements in the budget includes £76 million to boost digital and construction skills, £9 million to fund an advisory board for safe and ethical innovation, and £100 million to train an additional 8,000 qualified computer science teachers (supported by a new National Centre for Computing.)

The government funding is alongside increasing private investment in AI and IoT. According to Deloitte’s new Digital Disruption Index, 85 percent of senior executives plan to invest in artificial intelligence and the Internet of Things by 2020. More than half of the organisations surveyed expect to invest over £10 million in digital technologies such as AI, cloud, robotics, analytics, blockchain, the IoT, and virtual and augmented reality.

Prime Minister Theresa May announced on Monday a 1.7 billion pound fund to help regenerate cities and a 2.3 billion pound boost to research and development spending, due in 2021/22.

“This is a new long-term approach to shaping a stronger and fairer economy for decades to come,” May said in a Times newspaper article.

Whether it’s private or public investment, there’s little debate over the importance of giving these industries all the financial support they need to grow and thrive.

Are you impressed with the funding in the budget of future industries? Share your thoughts in the comments.

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