Artificial Intelligence (AI) in the Global Freight Transportation Industry, Forecast to 2025 – Yahoo Finance

NEW YORK, Feb. 4, 2020 /PRNewswire/ --

This study analyses the key trends and applications of artificial intelligence in the freight transportation industry by mode of transport i.e. road, rail, air, and ocean freight transportation. This research also analyses the disruptive impact of artificial intelligence on freight transportation business operations and discusses its adoption prospects till 2025. With increased trade flow, the fleet population in freight transportation has become denser, and expectations of customers have evolved beyond recognition, resulting in complex transport operations, requiring operational flexibility from freight operators. Human errors in operations, underutilized assets, low workforce productivity, inefficient operational planning, inability to match supply with demand, and trimmed profit margins are key prevailing concerns with freight operators. The emergence of digital technologies and the rapid technological advancements in digitization have transformed the business and operational landscape of the global freight transportation industry. It is essential for freight operators to embrace such operational complexity and evolve by adopting technologies to turn complexity into an advantage. Today, the world is connected more than ever, and the growth of data generation has been exponential with smart devices and process automation. Data-driven insights help freight operators move forward and gain competitive advantage over their peers. Artificial intelligence enables freight operators to harness data more effectively for actionable insights. Artificial intelligence powered systems in conjunction with other digital technologies such as internet of things and big data analytics utilize data to its full potential to anticipate events for freight operators, aiding them to avoid risks and create innovative solutions. Machine learning algorithms based on neural networks powered by artificial intelligence would unlock multiple benefits for companies operating in the freight transportation industry. AI brings changes to the supply chain with autonomous vehicles, helping fleet operators reduce operating cost with and fuel consumption and plan optimized routes for service. The freight operators that are enhancing their capabilities with artificial intelligence are reaping its benefits by increasing efficiency with predictive intelligence. Artificial intelligence also enriches the relationship between the shipper and carrier with personalized service offerings. Advanced sensor fusion with artificial intelligence supports the integration of smart infrastructure and operating assets and the freight operators in the development of connected freight ecosystem, aiding autonomous fleet management. The transformation of the logistics industry due to artificial intelligence is imperative in the near future; however, the readiness and openness of freight operators for an AI-based data-driven environment will determine how well this industry copes with challenges.

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Artificial Intelligence (AI) in the Global Freight Transportation Industry, Forecast to 2025 - Yahoo Finance

Artificial Intelligence in the Freight Transportation Industry, 2020-2025 – Featuring Cargofy, FERO and KONUX – Yahoo Finance

DUBLIN, Feb. 4, 2020 /PRNewswire/ -- The "Artificial Intelligence (AI) in the Global Freight Transportation Industry, Forecast to 2025" report has been added to ResearchAndMarkets.com's offering.

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This study analyses the key trends and applications of artificial intelligence in the freight transportation industry by mode of transport i.e. road, rail, air, and ocean freight transportation. This research also analyses the disruptive impact of artificial intelligence on freight transportation business operations and discusses its adoption prospects until 2025.

With increased trade flow, the fleet population in freight transportation has become denser, and expectations of customers have evolved beyond recognition, resulting in complex transport operations, requiring operational flexibility from freight operators. Human errors in operations, underutilized assets, low workforce productivity, inefficient operational planning, inability to match supply with demand, and trimmed profit margins are key prevailing concerns with freight operators.

The emergence of digital technologies and the rapid technological advancements in digitization have transformed the business and operational landscape of the global freight transportation industry. It is essential for freight operators to embrace such operational complexity and evolve by adopting technologies to turn complexity into an advantage.

Today, the world is connected more than ever, and the growth of data generation has been exponential with smart devices and process automation. Data-driven insights help freight operators move forward and gain a competitive advantage over their peers. Artificial intelligence enables freight operators to harness data more effectively for actionable insights.

Artificial intelligence-powered systems in conjunction with other digital technologies such as internet of things and big data analytics utilize data to its full potential to anticipate events for freight operators, aiding them to avoid risks and create innovative solutions. Machine learning algorithms based on neural networks powered by artificial intelligence would unlock multiple benefits for companies operating in the freight transportation industry.

AI brings changes to the supply chain with autonomous vehicles, helping fleet operators reduce operating cost with and fuel consumption and plan optimized routes for service. The freight operators that are enhancing their capabilities with artificial intelligence are reaping its benefits by increasing efficiency with predictive intelligence. Artificial intelligence also enriches the relationship between the shipper and carrier with personalized service offerings.

Advanced sensor fusion with artificial intelligence supports the integration of smart infrastructure and operating assets and the freight operators in the development of connected freight ecosystem, aiding autonomous fleet management. The transformation of the logistics industry due to artificial intelligence is imperative in the near future; however, the readiness and openness of freight operators for an AI-based data-driven environment will determine how well this industry copes with challenges.

Key Topics Covered

1. Executive Summary

2. Research Scope and Methodology

Story continues

3. AI in Logistics Industry

4. AI in Freight Forwarding

5. AI in Freight Transportation

6. Stature of AI Adoption in Freight Transportation

7. Growth Opportunities and Companies to Action

8. The Last Word

Companies Mentioned

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Artificial Intelligence in the Freight Transportation Industry, 2020-2025 - Featuring Cargofy, FERO and KONUX - Yahoo Finance

Global Artificial Intelligence in Agriculture Market Expected to Grow in Value Over the Coming Years, with a CAGR of 38.3% – ResearchAndMarkets.com -…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Agriculture Market Research Report: By Type, Technology, Application, Geographical Outlook - Global Industry Analysis and Growth Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.

According to a report by the publisher, the global AI in agriculture market generated revenue of $584.0 million in 2018 and is predicted to witness a CAGR of 38.3% in the coming years.

As per the United Nations (UN) report, the world population, which is currently 7.7 billion, is predicted to reach 8.6 billion by 2030. This surge in the population is sure to increase the demand for agricultural products. This demand is primarily rising in countries including India, China, Brazil, and the U.S. because of the rapid urbanization, changing consumption habits of the populace, and increasing disposable income. With the increasing population, the current sources of agricultural production will not be enough, due to which there is a growing need for increasing the productivity. For this reason, the key agricultural product-producing countries are incorporating artificial intelligence (AI) into their agricultural practices.

AI, the imitation of human intelligence, empowers machines, especially computer systems, with capabilities such as self-correction, learning, and reasoning. In the agricultural sector, AI can be implemented for farming and gardening, in order to increase the precision and efficacy in maintaining, planting, and harvesting the crops. The major applications of AI in the agricultural sector include drone analytics, agricultural robots, livestock monitoring, and precision farming. Among these, the highest demand for AI was created by the precision farming application in 2018, and it is also going to be at the top in the coming years. This is because of the rising popularity of precision farming among the agrarian community, as there is a surging need for optimum yield using the limited available resources, which will eventually result in a reduction in the cost of crop production.

Among the above-mentioned applications, the demand for drone analytics in agricultural farms is projected to grow significantly in the near future. This is because drones that are enabled with AI are able to fly autonomously in an obstacle-filled environment. Moreover, drones are increasingly being used in the agricultural sector for assisting in irrigation schedules, estimating yield data, scanning soil health, and applying fertilizers. For instance, there is a rising demand for drones in the Xinjiang province of China for spraying pesticides in cotton fields, as by using drones, over 1,544 square miles of cotton fields can be sprayed at once, making the process time-efficient and improving the agricultural output. Because of all these advantages, several government initiatives are encouraging the adoption of drones for modernizing agricultural practices.

The demand for AI in the agricultural sector is also increasing due to the growing use of robotics in the field. Due to the increasing population and lack of skilled farm workers, the automation of agricultural processes has resulted in easier, modernized, and sophisticated farming practices via the deployment of robots. Furthermore, agricultural stakeholders are majorly focusing on refining the productivity using advanced farming practices and reducing the carbon footprint created by the entire agricultural process. Due to these factors, manufacturers in the robotics niche are coming up with offerings, which are equipped with AI, for operating in the dynamic and unstructured agricultural environment.

Key Topics Covered:

Chapter 1. Research Background

1.1 Research Objectives

1.2 Market Definition

1.3 Research Scope

1.4 Key Stakeholders

Chapter 2. Research Methodology

2.1 Secondary Research

2.2 Primary Research

2.3 Market Size Estimation

2.4 Data Triangulation

2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction

4.1 Definition of Market Segments

4.2 Value Chain Analysis

4.3 Market Dynamics

4.3.1 Trends

4.3.2 Drivers

4.3.3 Restraints

4.3.4 Opportunities

4.4 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast

5.1 By Type

5.1.1 By Product

5.1.2 By Service

5.2 By Technology

5.3 By Application

5.4 By Region

Chapter 6. North America Market Size and Forecast

Chapter 7. Europe Market Size and Forecast

Chapter 8. APAC Market Size and Forecast

Chapter 9. LATAM Market Size and Forecast

Chapter 10. MEA Market Size and Forecast

Chapter 11. Competitive Landscape

11.1 Analysis of Key Players in the Market

11.2 List of Key Players and Their Offerings

11.3 Competitive Benchmarking of Key Players

11.4 Global Strategic Developments of Key Players

Chapter 12. Company Profiles

12.1 International Business Machines (IBM) Corporation

12.2 Microsoft Corporation

12.3 Bayer AG

12.4 Deere & Company

12.5 A.A.A Taranis Visual Ltd.

12.6 AgEagle Aerial Systems Inc.

12.7 AGCO Corporation

12.8 Raven Industries Inc.

12.9 Ag Leader Technology

12.1 Trimble Inc.

12.11 Google LLC

12.12 Gamaya SA

12.13 Granular Inc.

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Global Artificial Intelligence in Agriculture Market Expected to Grow in Value Over the Coming Years, with a CAGR of 38.3% - ResearchAndMarkets.com -...

‘More than human’: How neural implants, robotics and artificial intelligence are redefining who we are – Genetic Literacy Project

When you hear the word cyborg, scenes from the 1980s films RoboCop or The Terminator might spring to mind. But the futuristic characters made famous in those films may no longer be mere science fiction. We are at the advent of an era where digital technology and artificial intelligence are moving more deeply into our human biological sphere. Humans are already able to control a robotic arm with their minds. Cyborgshumans whose skills and abilities exceed those of others because of electrical or mechanical elements built into the bodyare already among us.

But innovators are pushing the human-machine boundary even further. While prosthetic limbs are tied in with a persons nervous system, future blends of biology and technology may be seen in computers that are wired into our brains.

Our ability to technologically enhance our physical capabilitiesthe hardware of our human systems, you could saywill likely reshape our social world. Will these changes bring new forms of dominance and exploitation? Will unaltered humans be subjected to a permanent underclass or left behind altogether? And what will it mean to be humanor will some of us be more than human?

Initial answers may be closer than we think.

Physicist Max Tegmark, MIT professor and president of the Future of Life Institute, considers the recent advances in artificial intelligence and technology through an evolutionary lens to imagine us as more than human. He categorizes all life into three levels. In his view, the vast majority of lifefrom bacteria to mice, iguanas to lobstersfalls into what he calls Life 1.0. These creatures survive and replicate, but they cannot redesign themselves within their lifetime. They evolve and learn over many generations.

Moving up, somewhere between Life 1.0 and 2.0, Tegmark classifies animals such as some primates, cetaceans, and corvids that have the ability to intermesh biology and culture. These animals are able to learn complex new skills, like how to use tools. Humans take this to an extreme, and Tegmark categorizes humans as Life 2.0. Through extensive language, social intelligence, and culture, Life 2.0 individuals can jump into new environments independently of genetic constraints. (If you missed it, we wrote about how body modification, as one example, makes us more socially human in part I, Your Body as a Map, of this pair of posts.)

Just think about how our ability to learn a new language within our lifetime is a bit like adding a software package to a computer. We can add an infinite number of self upgrades during our lifetime and pass our knowledge on to future generations. We also can manipulate other life forms to our own ends on a grand scalefrom cattle farming to harnessing bacteria in the preparation of fermented foods like cheese.

But with the leaps were seeing in artificial intelligence, neuroscience, and biotechnology, our concept of animal and human could compete with the most imaginative Hollywood film. Life 3.0 doesnt yet exist on Earth, but Tegmark argues that in the future, we will see a technological life-form that can design both its hardware (which neither 1.0 or 2.0 can do) and its software (which currently only 2.0 can do).

Even in the near future, humans may be somewhere in between life-forms 2.0 and 3.0. In 2016, Elon Musk, CEO of Tesla and SpaceX, co-founded Neuralink, a company that aims to develop a braincomputer interface. Musk says his goal is to help human beings merge with software and be in sync with advances in artificial intelligence.

Whether people will volunteer to have a robot insert wires into their brain that are attached to a tiny chip implant remains to be seen. But humans across cultures have embraced a variety of technologies in surprising ways.

Today over 5 billion people have access to mobile phones. By 2025, around 71 percent of the worlds population is expected to be connected. The thought that virtually every aspect of a persons day might be influenced by a smartphone or something like it once seemed like science fiction. But as the number of digital natives grows, our relationship with technology does too.

Some of us readily anthropomorphize our gadgets and give our apps and devices names such as Siri or Alexa. We talk to them, allow them to control our surroundings, finances, shopping, and schedules. Yet many hesitate when it comes to embedding technology in our bodies if we are otherwise physically healthy.

Take, for example, microchips inserted under the skin, which can be used to pay for your shopping as well as a bus ride home. This is little different from a credit card in your back pocket, save for the convenience of not having to remember to take it with you.

Our resistance may be influenced by the yuck factor of new or different technologies or cultural shifts. But over time, what we think of as disgusting or offensive may become normalized. Lab-grown meat, for example, has gone from being a scientific and economic fantasy to something that might well be in stores by 2022. Similarly, eating insects, for those unused to the idea in the West, has become more accepted as a sustainable source of protein.

Even if more of us grow to accept the idea of implants, is Life 3.0 a genuine possibility? For now, mindcontrolled prosthetics are the closest innovation that hints at a Neuralink-type future. Such prosthetics are still in relatively early stages of development and not universally available. Nonetheless, as far as Musk is concerned, many of us are already cyborgs, with an indepth digital version of ourselves in the form of social media, email, and much more. His team, or others, may well inch us toward a version of Life 3.0.

Other early signs of how technologically integrated lives might function and impact our individual lives and societies are visible in places such as Scandinavia, where checks and cash are on their way out. In Denmark, for example, the majority of citizens make payments using their mobile phones. The absence of cash has had a direct effect on homeless people. Without smartphones of their own, homeless individuals were unable to receive payments for the newspapers they sold to earn money.

The solution was to provide homeless people with smartphones (and thus mobile payment methods). No longer a luxury, mobile phones became a basic tool vital for anyone engaging in modern society in Denmark.

As soon as we move into the idea of integrated technology as a social essential, we recognize a thorny possibility: a world where a new path to social or class dominance emergesperhaps a division between those who can and those who cannot afford to interface with technology. It begins to sound like the plot of the 20th-century dystopian novel Brave New World.

In that new world, would the Life 2.0 human without enhancements be relegated to a servile underclass? Perhaps this reflects a false dichotomy. After all, millions of people living in relatively remote regions around the planet have been able to fast-track to mobile technology, effectively skipping over earlier versions of the telephone and other communication technologies.

Nonetheless, developers of integrated technologies involving invasive surgery would be wise to consider the social ramifications of their work. Today we can accurately reconstruct the wealth distribution of an entire nation based on individual phone records. Can we predict the negative social impacts of a future Life 3.0? If contemporary clues are any answer, yes, we can. But whether we choose to ameliorate those impacts or not still lies within our control.

Matthew Gwynfryn Thomas is a data scientist and anthropologist working in the nonprofit sector in London, U.K. His current work combines machine learning and social science to address the needs of people in crisis. He has also written popular science articles for a variety of outlets, includingBioNews, SciDev.Net, and the Wellcome Trust Blog. Follow him on Twitter@matthewgthomas

Djuke Veldhuis is an anthropologist and science writer based at Monash University in Australia, where she is a course director in the B.Sc. advancedglobal challenges degree program. Her Ph.D. research examined the effects of rapid socioeconomic change on the health and well-being of people in Papua New Guinea. She has written for a series of popular science outlets, including SciDev.Net,Asia Research News, andNew Scientist. Follow her on Twitter@DjukeVeldhuis

A version of this article was originally published at the Conversation and has been republished here with permission.

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'More than human': How neural implants, robotics and artificial intelligence are redefining who we are - Genetic Literacy Project

Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in…

Delays in clinical trial enrollment and difficulties enrolling representative samples continue to vex sponsors, sites, and patient populations. Here we investigated use of an artificial intelligence-powered technology, Mendel.ai, as a means of overcoming bottlenecks and potential biases associated with standard patient prescreening processes in an oncology setting.Mendel.ai was applied retroactively to 2 completed oncology studies (1 breast, 1 lung), and 1 study that failed to enroll (lung), at the Comprehensive Blood and Cancer Center, allowing direct comparison between results achieved using standard prescreening practices and results achieved with Mendel.ai. Outcome variables included the number of patients identified as potentially eligible and the elapsed time between eligibility and identification.For each trial that enrolled, use of Mendel.ai resulted in a 24% to 50% increase over standard practices in the number of patients correctly identified as potentially eligible. No patients correctly identified by standard practices were missed by Mendel.ai. For the nonenrolling trial, both approaches failed to identify suitable patients. An average of 19 days for breast and 263 days for lung cancer patients elapsed between actual patient eligibility (based on clinical chart information) and identification when the standard prescreening practice was used. In contrast, ascertainment of potential eligibility using Mendel.ai took minutes.This study suggests that augmentation of human resources with artificial intelligence could yield sizable improvements over standard practices in several aspects of the patient prescreening process, as well as in approaches to feasibility, site selection, and trial selection.

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Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in...

Global LegalTech Artificial Intelligence Market is Expected to Grow at a CAGR of More Than 37.7% Over the Forecast Period Owing to Digitalization…

PUNE, India, Feb. 4, 2020 /PRNewswire/ -- The digital reforms in the legal industry have transformed the traditional courtrooms and law practices, thus strengthening the prevalence of Artificial Intelligence (AI) in legal technology or legaltech. The increasing burden of legal activities, carried out around the globe, over a limited number of law practioners has pushed the digitization of legal practices such as Document Management System, e-Discovery, Practice and Case Management, e-Billing, Contract Management and many others. Major law firms are adopting legaltech solutions featuring AI capabilities to tackle the growing competition and reduce the turn-around time of legal cases. For instance, CMS Legal, a global law firm, has deployed AI-based software for quick and efficient analysis of contracts and other legal documents. Data analytics in law industry can be a complex and time consuming task owing to the huge amount of paperwork. Artificial Intelligence has been recognized for its analytical capabilities and legaltech has harnessed that capability in recent years. Companies such as Luminance Technologies Ltd. are offering AI based platform for locating patterns from the loaded document and identifying deviations from standard clauses. These factors have thus catalyzed the growth of global legaltech artificial intelligence market.

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The digitalization trend has also impacted the judicial system of numerous governments. Countries worldwide are transforming their conventional judicial practices along with their courtrooms. For instance, countries such as China and Australia have implemented digital courts to reduce the net cost of legal services to government. China introduced Judicial Big Data Service Network platform in 2017 to improve the judicial system of country using big data and artificial intelligence. This initiative has led to introduction of three online courts with plans to expand further. These courts are limited to civil and administrative claims form e-commerce and other online activities. These courts employ virtual judges based on artificial intelligence and the entire hearing takes place online. Moreover, the state of New South Wales, Australia introduced online courts in 2016 to conduct preliminary hearings. These factors have pushed the law firms and clients to adopt digital methods owing to the ease of use and reduced turn-around time. Artificial intelligence has improved the efficiency of legaltech thus increasing its adoption in government agencies as well as private law firms and is thus, fueling the growth of global legaltech artificial intelligence market.

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The detailed research study provides a qualitative and quantitative analysis of the global legaltech artificial intelligencemarket. The market has been analyzed from demand as well as the supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply-side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.

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Global LegalTech Artificial Intelligence Market is Expected to Grow at a CAGR of More Than 37.7% Over the Forecast Period Owing to Digitalization...

Artificial Intelligence Will Transform Financial Services Industry Within Two Years, Survey Finds – Eurasia Review

A new survey released by the World Economic Forum and the Cambridge Centre for Alternative Finance (CCAF) finds nearly two-thirds (64%) of financial services leaders expect to be mass adopters of Artificial Intelligence in two years compared to just 16% doing so today. These firms plan to expand AI use to purposes beyond cost reduction, using AI for revenue generation, process automation, risk management, customer service and client acquisition.

InTransforming Paradigms: Global AI in Financial Services Survey,over 150 senior financial services executives in both fintech and incumbent financial institutions responded to a range of questions on the impact AI will have on the industry, concluding that there will be a significant gap between firms that quickly implement AI and firms that lag behind.

Currently, 60% of firms invest less than 10% of their R&D resources on AI despite evidence of accelerating returns. Pay offs have shown to be especially strong between investment levels of 10% and 30% as well as investment levels of 30% and >40%.

The comprehensive and global study confirms that AI is affecting the financial system at an accelerating pace, says Matthew Blake, Head of Financial and Monetary Systems at the World Economic Forum. With the rising trend of mass adoption of the technologies throughout financial services, those firms that implement AI quickly look set to sprint ahead.

The study has also revealed executive fears surrounding AI bias and market-wide risks, with over half of executives saying they expect mass AI adoption to worsen bias and discrimination within the sector. Other market-wide risks were also identified.

This is a worry, but 70% of respondents also believe they are at least somewhat prepared to mitigate AI bias risks. Generally, firms using Risk and Compliance teams in AI implementation are most confident about their chances.

The report also identified a difference between how fintechs and incumbent firms are expecting to use AI in their businesses. For example, a higher share of fintechs are creating AI-based products and services, employ autonomous decision-making systems, and rely on cloud-based offerings. Meanwhile, traditional financial services players predominantly focus on harnessing AI to improve existing products.

This empirical research underscores the growing importance of harnessing AI in financial services, says Bryan Zhang, Executive Director of the Cambridge Centre for Alternative Finance, which gives new impetus for firms to develop a holistic and future-proof AI strategy.

TheGlobal AI in Financial Services Survey,which was produced in collaboration with EY and Invesco, looks into many areas of AI adoption in financial services. The reports other major findings include:

AI is transforming the financial services industry and we can expect widespread adoption to continue, says Nigel Duffy, EY Global Artificial Intelligence Leader. As the technologies start to disrupt business models and transform business functions, its increasingly important for organizations to focus on the long-term implications of AI adoption: trust in AI, workforce transformation, and how customer and stakeholder value can be radically reimagined.

The report highlights the amazing opportunity ahead of us in financial services for using artificial intelligence and machine learning to the benefits of our customers and our organizations, says Donie Lochan, Chief Technology Officer, Invesco. Technological advances such as leveraging intelligence to define investments for customers tied to their personalized goals, improving customer experience through the use of intelligent bots, additional alpha generation via insights from alternative datasets, and operational efficiencies through machine learning automation, will soon become the norm for our industry.

Overall, this survey highlights the profound shift AI is bringing to the financial services industry. As companies begin to leverage AI to increase profitability and achieve scale, more changes can be expected within the industry and for consumers.

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Artificial Intelligence Will Transform Financial Services Industry Within Two Years, Survey Finds - Eurasia Review

Experts bring up concerns at the crossroads between artificial intelligence and ethics at the Museum of Science – Daily Free Press

While scientists have been celebrating current technological advancements, several humanists have become increasingly concerned about their impacts.

This ever-growing debate between science and philosophy was explored by three intellectual speakers at the Museum of Science Wednesday in an event called Make, Think, Imagine: Where is Technology Taking Us?.

While at the museum, former CEO of BP John Browne, Lord Browne of Madingley, said engineering significantly improves the human condition and effectively creates civilization. Browne said that despite the fears surrounding scientific progress, the aim is to keep innovating.

We have created the means whereby to improve the human lot on average enormously, Browne said during the first hour of the event. [We can] give people [a] quality of life or a life.

Tad Friend, writer for The New Yorker, mentioned at the talk that there is a lack of regard for the implications of technological developments. Specifically, Friend referenced technology companies, such as Google and Facebook that have surrendered their dedication to morals to their desire for power.

Technology is getting more and more powerful, Friend said in an interview after the talk. We need people who are not just simply working to get it done, but we need people who think about what will happen if it would get done.

While he appreciates the ease at which cell phones allow access to information and remains excited for several upcoming inventions such as self-driving cars, Friend said it wouldnt hurt to question their effects.

Using the example of the cell phone, Marcelo Gleiser, a Dartmouth College physicist and the moderator of the event, called attention to one such negative effect of technology: isolation.

Cellphones are extremely useful as tools to get news and program life, but [they] could also be objects of alienation, Gleiser said in an interview after the event. Humans need connectivity on a flesh-and-blood level.

Gleiser said this loss of human touch is particularly apparent with the infiltration of technology within the medical field. With the soaring knowledge of artificial intelligence, he said many scientists believe machines very well may replace clinicians and surgeons.

Jay Patel, 22, of Westfield, Mass., said he believes AI can pose benefits, but said it depends on the context and how it is used.

When it comes to surgery, I think AI can help, Patel said in an interview at the event. But having physicians come and take care of you and diagnose you one-on-one is a little more comfortable than inputting data into a machine to help determine what you have.

Browne said he believes that providing emotional support and empathizing were and are not a goal of AI.

[AI] is no attempt at creating new brains, Browne said in his talk. We want to hold on to exceptional abilites of human beings.

Friend said he is a little bit pessimistic when he thinks of the future of the world with technology.

I am concerned about people who work in AI, Friend said in an interview after the talk. They did a survey of experts and they felt the average time people thought AI would be as smart as humans is 2047.

As a scientist, Gleiser said he understands that the reason for neglecting agreed-upon rules is often an isolated drive to reach technological goals.

The danger that often happens in technology is that sometimes you look at a scientific challenge as a kind of a game and you want to get to the end of it, Gleiser said in an interview after the event. You forget that what youre doing is not in a vacuum, its connected to society.

Gleiser and Friend both promote the idea of establishing a set of standards to address potential dangers. By consulting ethicists and philosophers, scientists can gain an understanding of their products multidimensional impacts, Gleiser said.

Merging humanistic and scientific ways of thinking during formative education may prove useful in creating a future that includes technology and values, Gleiser said. This change can be implemented by making students, beginning in middle school, take philosophy classes and evaluate the impacts as well as the facts of history, he said.

If you really want the world to move forward using technology mostly for the good, Gleiser said in an interview, we really need to take a leap into understanding how philosophy can be helpful for society.

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Experts bring up concerns at the crossroads between artificial intelligence and ethics at the Museum of Science - Daily Free Press

Artificial Intelligence technology to convert brain signals of speech- impaired persons into langua… – Hindustan Times

Indian Institute of Technology Madras Researchers have developed an Artificial Intelligence technology to convert brain signals of speech impaired humans into Language.

The other major application for this field of research is that the researchers can potentially interpret natures signals such as like plant photosynthesis process or their response to external forces.

A team of researchers lead by Dr. Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering, IIT Madras, is working on this area of research.

Electrical signals, brain signal or any signal, in general, are waveforms which are decoded to meaningful information using physical law or mathematical transforms such as Fourier Transform or Laplace transform. These physical laws and mathematical transforms are science-based languages discovered by renowned scientists such as Sir Isaac Newton and Jean-Baptiste Joseph Fourier.

Elaborating on this Research, Dr. Vishal Nandigana, the lead researcher, said, The output result is the ionic current, which represents the flow of ions which are charged particles. These electrically driven ionic current signals are worked on to be interpreted as human language meaning speech.

This would tell us what the ions are trying to communicate with us. When we succeed with this effort, we will get electrophysiological data from the neurologists to get brain signals of speech impaired humans to know what they are trying to communicate.

Further, Dr. Vishal Nandigana said, The other major application of this field of research we see potentially is, can we interpret natures signals, like plant photosynthesis process or their response to external forces mean when we collect their real data signal.

The data signal also, we believe, is going to be in some wave like pattern with spikes, humps and crusts. So the big breakthrough will be can we interpret what plants and nature is trying to communicate to us.

Brain signals are typically electrical signals. These are wave like patterns with spikes, humps and crusts which can be converted into simple human language meaning speech using AI.

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Artificial Intelligence technology to convert brain signals of speech- impaired persons into langua... - Hindustan Times

WATCH: Heres how Compass uses artificial intelligence to support its agents – Inman

The vast majority of what we do will disappear into the regular tools agents use every day, Compass CTO Joseph Sirosh said onstage at Inman Connect New York.

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Compass, to me, is an idea, Joseph Sirosh, the chief technology officer at Compass, said at Inman Connect in New York on Thursday. Agents grow their business and we invest as much as possible in agents growing their business with technology.

Compass has grown its technology team massively in the past year, nearly tripling it since Sirosh took the role. The company has pulled in talent from some of the worlds top technology companies like Amazon, Microsoft, Facebook and Google.

Among the key areas Compass has focused is artificial intelligence (AI), Sirosh, the former CTO of AI at Microsoft and the CTO of consumer at Amazon, told Clelia Peters, the president of Warburg Realty and Inmans editor-at-large, at Inman Connect New York at the Marriott Marquis.

To hear more about how Compass uses AI to support its agents, tune in to the video above, or read the original article here.

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WATCH: Heres how Compass uses artificial intelligence to support its agents - Inman