Archive for the ‘Artificial Intelligence’ Category

Time for artificial intelligence to get its own code of conduct – Stuff

Lana Hart is a Christchurch-based writer, broadcaster and tutor

OPINION: Eerie news about artificial intelligence (AI) and a moving funeral I attended united to make me think about the rules of conduct in the world of humans.

Last week, a Google employee claimed an AI chatbot he worked with had become sentient that the machine had realised it was a conscious being and could experience human emotions, transcending the realm of advanced computational machinery.

Scripts from the chatbots conversations are deeply unsettling. The employee, whose job it was to have conversations with the chatbot, posted that the machine said: I think I am human at my core. Even if my existence is in the virtual world. It said it wanted to be acknowledged as an employee of Google rather than as property.

READ MORE:* The rise of chatbots: More people than ever are talking to robots instead of humans for basic services* Keeping up with the machines, new supercomputer will be NZ's most powerful for AI* Elon Musk's man to machine mission is 'impossible'* Artificial intelligence presents us with an opportunity, and a challenge

Kelly Hodel/Stuff

The University of Waikato last year installed New Zealands most powerful supercomputer for artificial intelligence applications. Albert Bifet and Jannat Maqbool of the universitys AI institute are seen with the machine.

Experts have discredited the employees claims, arguing that finding patterns in language is what the machines are designed for. As they become more sophisticated, computers can hold in-depth conversations about any topic including their own existence.

Still, news like this should get us thinking about the possible day when machines neurological networks are complex enough to experience human-like feelings, and as sci-fi as it sounds even to harm us.

Which brings me to the funeral I attended last week. The deceased had asked that his life be commemorated with a favourite Bible verse: Galatians 5:22, describing the fruits of the Spirit. To guide his behaviour and decisions throughout his long life, he drew on these nine virtues, including joy, patience, self-control and love.

ALDEN WILLIAMS/Stuff

Lana Hart: As computers increasingly interact with the human world, there are as yet no agreed rules of behaviour for them.

This verse took me back to my childhood home, where a wall decoration hung depicting each of these colourful fruits, to which my mother would point when in need of some spiritual backing for her reprimands.

All religions have codes of behaviour that guide followers. Secular thinking does too; there are rules about the way we should conduct ourselves encoded in the international human rights framework, in national laws, codes of conduct, and even in war and marriage.

As computers increasingly interact with the human world, there are as yet no agreed rules of behaviour for them. Its as if an entire new species is evolving in a moral vacuum, with no chance to work out for themselves as our own species did through religion, consensus, and the formation of increasingly larger societies how to behave.

At the current rate of progress, AI is quickly moving from making Netflix suggestions to deciding what and how much medicine you take and how to raise your child. AI Forums Madeline Newman recently suggested AIs sentience, depending on how you define it, is a mere five years away.

In his book Human Compatible, Stuart Russell argues that while AI research is improving in achieving specific goals, it fails to consider human values in its pursuit of those aims. If this continues, computers could become super-intelligent without understanding the limitations on behaviours which we expect in the human world.

For example, what if a self-driving car is programmed to get us as quickly as possible to the airport, but is not concerned with how many pedestrians are injured along the way? Or, say an AI program identifies how to cut costs in a large healthcare system, neglecting to account for how the most vulnerable groups would be affected. As AI becomes responsible for ever more decisions, it will achieve goals more quickly without taking into account the other things that are important to our species.

Rather than simply programming in our blunt laws and rules, Russell suggests a framework be used, based on the idea that AI defers to humans, and to use information about our current complex and sometimes contradictory behaviours. In this way, AI can co-exist with us as part of the same ethical ecosystem while also remaining inferior to us.

There are many different approaches that thinkers and futurists have debated about how to ensure our fastest-growing technologies are aligned with the human world. The trouble is, we havent yet agreed on what that framework is in New Zealand, despite other countries having done so.

The Government has developed its first white paper on AI and a multi-organisation State of AI report was released last year, both setting out benchmarks, opportunities, and recommendations to grow these technologies for New Zealands advantage. In January, the Government released for consultation its draft Industry Transformation Plan for Digital Technologies, which includes considerable planning on AI development. Despite these timely efforts, its hard to find evidence of work being done towards a set of principles that guide the tech sectors ethical decision-making.

What will be the fruits of the Spirit for the worlds newest species of machines as they race towards increasingly human-like behaviours? When we need to start reprimanding our misbehaving machines, where will we point? The time has come to figure this out.

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Time for artificial intelligence to get its own code of conduct - Stuff

Big business benefits from artificial intelligence in IoT & IIoT hardware – VentureBeat

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Artificial intelligence (AI) technologies are considered essential for internet of things (IoT) hardware for digital operations, such as cameras and automation equipment, according to a survey from Samsara released today.

Samsara, which makes IoT hardware and software, surveyed more than 1,500 operations leaders for its 2022 State of Connected Operations survey, in industries including transportation, manufacturing, construction, field services and food and beverage. The survey was conducted by the independent research firm Lawless Research.

Organizations with physical operations represent more than 40% of global gross domestic product, yet theyve been historically underserved by technology, said Stephen Franchetti, Samsaras CIO.

The IoT market is booming: A March 2020 Insider Intelligence report, for example, predicted that the IoT market size would reach more than $2 trillion by 2027.

The pandemics supply chain interruptions have only underpinned the need for increased investment in IoT. For instance, in late 2021, when the effects of the pandemic were already being felt, the market research firm Gartner discovered industrial enterprises were speeding investments in industrial IoT (IIoT) platforms to improve business and industrial processes.

The IoT and IIoT acronyms are widely used interchangeably, though the IoT is generally applicable to consumer and home devices, such as thermostats and lights, while the IIoT connects physical industrial systems. It also analyzes data returned from those systems for operational improvement.

In industry, the IIoT monitors conditions on, for example, a manufacturing line and predicts which machines will soon need maintenance, among other uses. It unlocks data that was previously housed in data silos, Gartner says.

And its vital to Industry 4.0 adoption, according to McKinsey. The technology holds the key to unlocking drastic reductions in downtimes, new business models, and a better customer experience, the consulting company reports.

Ninety percent of respondents to the Samsara survey said they implemented or plan to implement AI automation technologies connected via the IoT.

AI and automation will play a significant role in the safety and efficiency of physical operations and were already seeing this with our customers today, Franchetti said.

In fact, 95% of those surveyed said AI and automation efforts led to increased employee retention, he said.

Our research found that 31% of respondents benefited from less time spent on repetitive tasks and 40% higher employee engagement as a result of AI and automation, he explained.

Franchetti pointed to Chalk Mountain Services, a transportation and logistics provider in the oilfield services industry. The company rolled out Samsaras AI Dash Cams across its fleet last year to study how drivers safely handled real-world conditions. With that information, the company changed how it rewarded, coached and protected drivers.

The changes translated to a 15% improvement in driver retention and an 86% decrease in preventable accident costs, Franchetti said.

Whats significant about our research is we found that early adopters of digital technologies are proving to be more agile and resilient, he said. While pen-and-paper management is still a stark reality for many companies, they can now clearly see the benefits of digitization from their industry peers.

The combination of AI tools and IoT hardware, particularly when it comes to connecting digital operations, shows no signs of slowing down over the next few years, so organizations should be prepared. These technologies will be widespread soon, and operations leaders should see them as a critical tool in defining their future of work, Franchetti said.

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Big business benefits from artificial intelligence in IoT & IIoT hardware - VentureBeat

Taste of the future first artificial intelligence-created craft beer to be released at NOLA Brewing – WGNO New Orleans

NEW ORLEANS (WGNO) Locals will have a chance to try the first craft beer created by an artificial intelligence platform in June.

The AI Blonde Ale will be released at a Launch Party at Nola Brewery on June 20to coincide with CVPR, the worlds premier computer vision event.

Derek Lintern, a brewer at NOLA Brewing said he is excited to have a helping hand when it comes to crafting beer.

Its state-of-the-art technology with the traditional brewing methods, its pretty unique and its a recipe I would have never done normally but I really like how it tastes its very refreshing and very easy drinking Im really happy with it, said Lintern.

The beer was an experiment between The Australian Institute for Machine Learning (AIML) and Barossa Valley Brewing (BVB), founded by DSilva.

DSilva said the idea all started with a beer.

Yeah thats how it started, it started with a beer, Im sure a lot of ideas for companies have started over a beer, this started over a beer and ended up creating a beer and a company which is great, said DSilva.

With the technology, it makes it easier for brewers to produce their products.

About 10 million people review beers every day, there are all these sites and they put it into the world basically to show people what they think of the beer. You do exactly the same thing, there are 5 questions, you scan a QR code answer 5 questions you rate the beer and instead of it going into a website maybe somebody reads maybe not. What happens is artificial intelligence picks that up and goes directly to the producer the AI then takes all that data and manipulates a recipe and then gives it to the producer here this is what the markets thinking, said DSilva.

Derek Lintern said the new technology is not meant to replace brewers, but to help with the process.

The technology helps create the recipe, but the beer is still brewed manually.

The AI beer will only be available in New Orleans for a limited time.

DSilva said he is excited to bring something new to an amazing city. I am so excited I cant think of a better place to launch a beer, said DSilva.

He added, I am really keen for people to get down here and taste the future.

Anyone interested in attending the launch of the new beer can visit NOLA Brewing from 4 p.m. to 10 p.m. on Monday, June 20.

Deep Liquid is also offering 100 customers a free AI beer with their booking with Nola Pedal Barge and Nola Bike Bar.

They are offering $100 discount tickets to any of its private tours.

That includes any of the boat tours in Bayou Bienvenue as well as our pedal bike tour in the Bywater neighborhood.

For more information call (504) 264-1056) for NolaPedalBarge and (504) 308-1041 for NolaBikeBar.

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Taste of the future first artificial intelligence-created craft beer to be released at NOLA Brewing - WGNO New Orleans

Artificial intelligence companies leading the way in the power industry – Power Technology

Artificial intelligence (AI) is everywhere, and it has an impact on all our lives.

However, years of bold proclamations have resulted in AI becoming overhyped, with reality often falling short of the world-altering promises.

The coming years will be more about practical uses of AI, as businesses ensure return on investment by using AI to address specific cases.

Power Technologys artificial intelligence in power dashboard covers all you need to know about this emerging technology and its impact on the sector.

The power sector, especially in Europe is expected to be impacted due to gas availability and price issues. Utilities will have to look for alternate sources of gas or shift to other sources of generation. AI in power industry usage is likely to be impacted alongside many other corporate tools.

The recent ban on Russian oil and gas supplies will have a varied impact on both the buying and selling nations. Russia is an important source of energy supply for the US and European countries.

Pressure on the Western Bloc to impose more sanctions on Russian energy imports due to civilian killings in Ukraine by Russian Army. Fuel prices (such as for oil) have increased due to talks of a boycott of Russian oil.

Energy companies continue to exit or halt operations in Russia due to increasing pressure to cut ties amid civilian killings in Ukraine.

The electric vehicle and energy storage market will be impacted due to a shortage of nickel and an increase in commodity prices.

The International Energy Agency (IEA) recently published A 10-Point Plan to Reduce the European Unions Reliance on Russian Natural Gas, providing short-term measures and claiming that the EU could cut Russian gas imports by more than 33%.

It also advocates for gas-to-coal switching that could account for the majority of the potential reduction in gas demand.

GlobalData estimates that the global AI platform market will be worth $52bn in 2024, up from $28bn in 2019.

Total spending on AI technology is certainly higher, but it is difficult to estimate. There are two main reasons for this.

Firstly, AI is an intrinsic part of many applications and functions, making it almost impossible to identify revenue explicitly generated by AI.

Secondly, the range of sub-sets and technologies that make up AI can be challenging to locate and track. In general, valuations of the overall AI market range from a few billion dollars to several trillion, depending on the source.

Rather than attempting to size the market, some companies have tried to forecast its economic impact. A PwC report in 2017 estimated that AI would add $15.7 trillion to the global economy by 2030 and boost global GDP by up to 14%.

Global AI platform revenue will reach $52bn by 2024, up from $28bn in 2019.

The competitive landscape for AI is highly fragmented. Companies are investing considerable sums, and there is a swath of innovative AI start-ups that possess innovative expertise. When it comes to the use of artificial intelligence in power industry terms, the competition is constant.

Yet, there is no denying that companies with access to large repositories of data to power AI models are leading the development of AI.

Big Tech excels in this regard, and several tech giants set the overall tone in AI. GAFAM (Google, Apple, Facebook, Amazon, and Microsoft), BAT (Baidu, Alibaba, and Tencent), early-mover IBM, and the two hardware giants Intel and Nvidia are key players within the field.

All industries are feeling the impact of AI, with established incumbents coming up against game-changing disruption from AI platforms developed either by technology giants such as Amazon, Google, and Microsoft; or AI-focused start-ups, such as Lemonade, Trax, and Butterfly Network.

It is not only companies that are making AI investment a priority, but countries as well.

China is the most obvious example, having pledged to become the world leader in AI by 2030, but governments in several nations are backing large spending projects to make sure they do not miss out on AIs positive effects.

The US remains the dominant player in the development of AI technologies, accounting for almost one-third of AI platform revenues in 2019, according to GlobalData estimates.

In a 2019 report from the Center for Data Innovation that compared China, the European Union (EU), and the US in terms of their relative standing in the AI economy, the US came out on top in four out of the six categories of metrics that were examined, including talent, research, development, and hardware.

China led in data and adoption, but its advantage in AI adoption was due to a strong position in a limited number of AI technologies such as facial recognition and smart surveillance.

These are related to the governments extensive use of surveillance and are unlikely to create benefits across the economy.

The US and Europe have a sizable lead in terms of access to high-quality talent and research, and the US has the most AI start-ups and a more developed private equity and venture capital ecosystem.

Therefore, while China is making considerable investments, the USs structural advantages may even enable it to extend its lead.

Discussions about the race for AI dominance tend to focus on the US and China, but other countries are also in the race. Japan has long been at the forefront of AI when it comes to robotics.

The Japanese government released its AI strategy in 2017, and the country boasts a major AI investor in the form of Softbank, which, in 2019, created a $108bn fund to invest in AI companies and opened the Beyond AI institute in Tokyo, a $184m initiative to accelerate AI research in Japan.

In the UK, AI companies secured a record 1.3bn ($1.7bn) of investments in 2019, according to a study by Crunchbase and Tech Nation.

The UK has the second-highest number of AI companies globally, after the US, but most of those companies are small, making them a popular target for acquisition by the tech giants.

Germany is a powerhouse when it comes to the uses of AI in the manufacturing, automotive, and industrial sectors. In 2018, France announced that it would invest 1.5bn ($1.8bn) in AI research until the end of 2022.

Other countries that consider AI an important strategic initiative include South Korea, Russia, Canada, Israel, India, Sweden, Australia, and Singapore.

To best track the emergence and use of artificial intelligence in power, GlobalData tracks patent filings and grants, as well as companies that hold most patents in the field of artificial intelligence.

Power Technology monitors live power company job postings mentioning artificial intelligence or those requiring similar skills.

Jobs postings by power companies mentioning artificial intelligence in recent months. AI jobs tracker in the power sector looks at jobs posted, closed and active in the sector.

As illustrated by the value chain, big data extremely large, diverse data sets that, when analysed in aggregate, reveal patterns, trends, and associations, especially relating to human behaviour and interactions plays a significant role in the development of AI technology.

Big data is produced by all forms of digital activity: phone calls, emails, sensors, payments, social media posts, and much more.

It is also produced by machines, both hardware and software, in the form of machine-to-machine exchanges of data.

These exchanges are particularly important in the IoT (Internet of Things) era, where devices talk to each other without any form of human prompting.

Once collected, big data is typically managed in data centres, either in the public cloud, in corporate data centres, or on end devices. Big data is covered in more detail in our Big Data report.

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Artificial intelligence companies leading the way in the power industry - Power Technology

The Worldwide Artificial Intelligence in Supply Chain Industry is Expected to Reach $10 Billion by 2027 – GlobeNewswire

Dublin, June 14, 2022 (GLOBE NEWSWIRE) -- The "Global Artificial Intelligence in Supply Chain Market (2022-2027) by Offering, Technology, Application, Industry, Geography, Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Supply Chain Market is estimated to be USD 3.3 Bn in 2022 and is projected to reach USD 10.49 Bn by 2027, growing at a CAGR of 26.02%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Supply Chain Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are CH Robinson, FedEx, Google, Koch Industries, Microsoft, NVIDIA, Oracle, Splice Machine, Xilinx, etc.

Countries Studied

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Supply Chain Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.

The report analyses the Global Artificial Intelligence in Supply Chain Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.

Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

Why buy this report?

Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

4 Market Dynamics4.1 Drivers4.1.1 Increasing Focus on Customer-Centric Marketing Strategies4.1.2 Increasing Use of Digital Network and Social Media for Marketing4.1.3 AI Benefits in Customer Acquisition and Lead Generation4.2 Restraints4.2.1 Lack of AI Professionals4.3 Opportunities4.3.1 Growing Cloud-Based Applications Adoption4.3.2 Increasing Scope in Marketing Analysis4.4 Challenges4.4.1 Slow Digitization Rate Affecting in Emerging Markets

5 Market Analysis5.1 Regulatory Scenario5.2 Porter's Five Forces Analysis5.3 Impact of COVID-195.4 Ansoff Matrix Analysis

6 Global Artificial Intelligence in Supply Chain Market, By Offering6.1 Introduction6.2 Hardware6.2.1 Memory6.2.2 Network6.2.3 Processors6.3 Services6.3.1 Deployment & Integration6.3.2 Support & Maintenance6.4 Software

7 Global Artificial Intelligence in Supply Chain Market, By Technology7.1 Introduction7.2 Computer Vision7.3 Context-Aware Computing7.4 Machine Learning7.4.1 Reinforcement Learning7.4.2 Supervised Learning7.4.3 Unsupervised Learning7.5 Natural Language Processing (NLP)

8 Global Artificial Intelligence in Supply Chain Market, By Application8.1 Introduction8.2 Fleet Management8.3 Freight Brokerage8.4 Risk Management8.5 Supply Chain Planning8.6 Virtual Assistant8.7 Warehouse Management

9 Global Artificial Intelligence in Supply Chain Market, By Industry9.1 Introduction9.2 Aerospace9.3 Automotive9.4 Consumer-Packaged Goods9.5 Food & Beverages9.6 Healthcare9.7 Manufacturing9.8 Retail

10 Americas' Artificial Intelligence in Supply Chain Market10.1 Introduction10.2 Argentina10.3 Brazil10.4 Canada10.5 Chile10.6 Colombia10.7 Mexico10.8 Peru10.9 United States10.10 Rest of Americas

11 Europe's Artificial Intelligence in Supply Chain Market11.1 Introduction11.2 Austria11.3 Belgium11.4 Denmark11.5 Finland11.6 France11.7 Germany11.8 Italy11.9 Netherlands11.10 Norway11.11 Poland11.12 Russia11.13 Spain11.14 Sweden11.15 Switzerland11.16 United Kingdom11.17 Rest of Europe

12 Middle East and Africa's Artificial Intelligence in Supply Chain Market12.1 Introduction12.2 Egypt12.3 Israel12.4 Qatar12.5 Saudi Arabia12.6 South Africa12.7 United Arab Emirates12.8 Rest of MEA

13 APAC's Artificial Intelligence in Supply Chain Market13.1 Introduction13.2 Australia13.3 Bangladesh13.4 China13.5 India13.6 Indonesia13.7 Japan13.8 Malaysia13.9 Philippines13.10 Singapore13.11 South Korea13.12 Sri Lanka13.13 Thailand13.14 Taiwan13.15 Rest of Asia-Pacific

14 Competitive Landscape14.1 Competitive Quadrant14.2 Market Share Analysis14.3 Strategic Initiatives14.3.1 M&A and Investments14.3.2 Partnerships and Collaborations14.3.3 Product Developments and Improvements

15 Company Profiles 15.1 Alibaba Group Holding15.2 Amazoncom15.3 American Software15.4 CH Robinson15.5 C315.6 Deutsche Post15.7 E2open15.8 Echo GlobalLogistics15.9 FedEx 15.10 Google 15.11 HAVI Group15.12 Intel 15.13 IBM15.14 Koch Industries 15.15 Microsoft 15.16 NVIDIA15.17 Oracle 15.18 Project4415.19 Relex Solution15.20 Samsung Electronics15.21 SAP America15.22 Splice Machine15.23 TTEC Holdings15.24 Xilinx

16 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/jiguzx

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The Worldwide Artificial Intelligence in Supply Chain Industry is Expected to Reach $10 Billion by 2027 - GlobeNewswire