Archive for the ‘Artificial Intelligence’ Category

Vladimir Suvorov: ‘Artificial Intelligence Will Have its Place in Art.’ – The Armenian Mirror-Spectator

YEREVAN I met Vladimir Suvorov, the founder of Van Der Bot, at the Armenia Art Fair of Contemporary Art, held in the end of May. What he presented was beyond imagination a contemporary robot artist named Van Der Bot, who creates art. Thinking with artificial intelligence, painting with robohand and interacting as a human, it combines modern technologies with classical artistic tools, making physical works reflecting a current age.

Suvorov is an engineer by profession, a businessman and technology expert, who has patents under his name and articles. He worked for US EMC company (now Dell-EMC) and was a lead researcher in AI lab in Russia. Vladimir, from St. Petersburg, has Armenian roots, who has long wanted to visit Yerevan and now lives with his family here.

Vladimir, it was interesting to see Van Der Bot, and observe how its arm uses oil paints and brushes to turn any photo into a piece of art. But the question is: why?

Actually this is a very common question. There are many people who think of themselves as artists. We even found data that says 38 percent of people think they are artists, but only 1.5 percent of them can paint. So with our robot we want to fill that gap. To be an artist or to start painting you dont need anything, but to show this to your friends and colleagues and get their admiration, you definitely need some skills. Our typical costumer is a businessman, a self-established person. He has a job, a family, everything in his life, but he thinks he wants to create something and to leave a mark in history. But he cannot paint. Of course, he can go to some art classes and study, but that takes lots of time. So he sees in our robot a way to express himself to go into the business with art, gather his friends around that work, use the robot for the education of children. This is something people want to bring into culture. Someone said: you are selling a dream. You are buying a Tesla not because you want the car to go, but to buy something really great. This is the same. Some people say that this cannot be considered art. In that case I remind them about photography. You click the button, and the device gives you a result, which can (or cannot) be a piece of art. We give a picture to our robot, that he turns into a painting. Another field is the music. We hear the music with electronic synthesizer, electronic guitar, and you hear the music from the acoustics, not just from the instrument. This is the technology that comes into the transmission. Can you say that this is not the music that human produced? We do not substitute the human, we give the instrument to the human to express himself, like the art is more about the concept, what you want to express, but not about the skill. You may have a great dream, but not skills to transfer it. So we are just giving an instrument to express his idea. And third example I can bring-the human should distinguish any object or text made by robot versus something done by a human. Here we tested even the painting. We brought professional artists and asked them to draw a triangle. And then the robot drew the same. Many people failed to guess what was painted by a human and what by the robot. Of course the triangle is a simple object, but we can take our painting to other artists and ask if they can draw like this or ask who did that. So it is the context you bring.

Many famous artists have assistants. Do you think your robot can act as painters assistant?

Excerpt from:
Vladimir Suvorov: 'Artificial Intelligence Will Have its Place in Art.' - The Armenian Mirror-Spectator

Artificial Intelligence: Researchers develop algorithm to predict crime a week in advance – Interesting Engineering

Social scientists at the University of Chicago have developed an algorithm that can forecast crime in urban areas up to a week in advance, Bloomberg reportedon Thursday.

Over the past few years, there has been a steep rise in the use of algorithms around us. From predicting weather to driving cars, making shopping recommendations, and finding cures for diseases, algorithms are at work everywhere. It would hardly be a surprise if they were not used to fighting crimes.

Prior to the Olympics, Tokyo Police were looking to implement artificial intelligence (A.I.) based technology to predict crimes before they could take place. If it sounds like we are living in a Minority Report-like future already, the fact is that we already are and have been for almost a decade now.

According to the Bloomberg report, the Chicago Police Department implemented the Crime and Victimization Risk Model way back in 2012 with the help of some academic researchers. The model used factors like age and arrest history to prepare a list of potential attackers and their victims and even assigned a score to listed individuals to help law enforcement agencies confer urgency to tracking the predicted perpetrator as well as their victim.

The concept might sound interesting, but the actual application was dodgy. As investigations later showed, almost half of the alleged perpetrators on the list had never been charged for illegal possession of arms, while others had not been charged with serious offenses before. A Technology Review report in 2019 detailed how risk assessment algorithms that determined whether an individual should be sent to jail or not were trained on historically biased data.

So, when researchers at the University of Chicago, led by assistant professor Ishanu Chattopadhyay, tried to build their algorithm, they wanted to avoid past mistakes.

The algorithm divides a city into 1,000 square feet tiles and uses the historical data on violent and property crimes to predict future events. The researchers told Bloomberg that their model is different from other such algorithmic predictions since the other look at crime as emerging from hotspots and spreading to other areas.

However, such approaches, the researchers argue, miss the complex social environment of cities and are also biased by the surveillance used by the state for law enforcement. Instead, the algorithm used analyses previous crime reports taking into account many other factors, and then forecasted crime likelihood in Chicago with 90 percent accuracy. The model was also used to predict crimes in eight different cities in the U.S., which included big names like Los Angeles, Atlanta, and Philadelphia, and worked well in those scenarios as well, Bloomberg said in its report.

The algorithm and science details were published in the journal Nature Human Behaviour.

Abstract

Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with the latest artificial intelligence-based algorithms producing limited insight into the social system of crime. Here we show that, while predictive models may enhance state power through criminal surveillance, they also enable surveillance of the state by tracing systemic biases in crime enforcement. We introduce a stochastic inference algorithm that forecasts crime by learning spatio-temporal dependencies from event reports, with a mean area under the receiver operating characteristic curve of ~90% in Chicago for crimes predicted per week within ~1,000ft. Such predictions enable us to study perturbations of crime patterns that suggest that the response to increased crime is biased by neighbourhood socio-economic status, draining policy resources from socio-economically disadvantaged areas, as demonstrated in eight major US cities.

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Artificial Intelligence: Researchers develop algorithm to predict crime a week in advance - Interesting Engineering

Artificial Intelligence (AI) Market in Retail Sector Market – 40% of Growth to Originate from North America| Driven by the Rise in Investments and R…

NEW YORK, June 29, 2022 /PRNewswire/ --The "Artificial Intelligence (AI) Market in Retail Sector Market - Competitive Analysis, Drivers, Trends, Challenges &Five Force Analysis" report has been added to Technavio's offering.The artificial intelligence (AI) market in the retail sector market value is anticipated to grow by USD 29.57 billion, at a CAGR of 35.69% from 2021to 2026.

Technavio has announced its latest market research report titled Artificial Intelligence (AI) Market in Retail Sector Market by Application and Geography - Forecast and Analysis 2022-2026

40% of the market's growth will originate from North America during the forecast period. US andCanada are the key markets forartificial intelligence (AI)in the retail sectorin North America. Market growth in this region will be fasterthan the growth of the market in South America and MEA.The significant increase in theinvestments in the technology and theearly adoption of AI will facilitate theartificial intelligence (AI) market growth in the retail sector in North America over the forecast period.

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Market Dynamics

The key factordriving the global artificial intelligence (AI) market growth inthe retail sector is the rise in investments and R&D in AI startups. Many governments have come up with formal AI frameworks and strategies, such as the US executive order on American leadership in AI, China's Next Generation Artificial Intelligence Development Plan, and AI Made in Germany, all of which are aimed at driving economic and technological growth.

However,the key challenge to the global artificial intelligence market growth in the retail sector is theprivacy issues associated with AI deployment. By using advanced data mining techniques, data is gathered on several parameters such as the customer's buying habits, customers' online behavior, and payment information.

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Company Profiles

The artificial intelligence (AI) market in the retail sector market is fragmented and the vendors are deploying growth strategies such aspricing and marketing strategies andproduct differentiationto compete in the market.

Story continues

Some of the companies covered in this report are Accenture Plc, Amazon.com Inc., BloomReach Inc., Capgemini SE, Daisy Intelligence Corp., Element AI Inc., Evolv Technology Solutions Inc., Inbenta Technologies Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Mad Street Den Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Plexure Group Ltd., Salesforce.com Inc., SAP SE, Symphony Retail Solutions, and Trax Technology Solutions Pte. Ltd., etc.

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Competitive Analysis

The competitive scenario provided in the artificial intelligence (AI) market in retail sector market report analyzes, evaluates, and positions companies based on various performance indicators. Some of the factors considered for this analysis include the financial performance of companies over the past few years, growth strategies, product innovations, new product launches, investments, growth in market share, etc.

Segmentation Analysis

By Application, the market is classified assales and marketing, in-store, PPP, and logistics management.

ByGeography, the market is classified as North America, APAC, Europe, the Middle East and Africa, and South America.

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Artificial Intelligence (AI) Market Scopein Retail Sector

Report Coverage

Details

Page number

120

Base year

2021

Forecast period

2022-2026

Growth momentum & CAGR

Accelerate at a CAGR of 35.69%

Market growth 2022-2026

$ 29.57 billion

Market structure

Fragmented

YoY growth (%)

31.45

Regional analysis

North America, APAC, Europe, Middle East and Africa, and South America

Performing market contribution

North America at 40%

Key consumer countries

US, Canada, China, Japan, and UK

Competitive landscape

Leading companies, Competitive strategies, Consumer engagement scope

Key companies profiled

Accenture Plc, Amazon.com Inc., BloomReach Inc., Capgemini SE, Daisy Intelligence Corp., Element AI Inc., Evolv Technology Solutions Inc., Inbenta Technologies Inc., Infosys Ltd., Intel Corp., International Business Machines Corp., Mad Street Den Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Plexure Group Ltd., Salesforce.com Inc., SAP SE, Symphony Retail Solutions, and Trax Technology Solutions Pte. Ltd.

Market dynamics

Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period

Customization purview

If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

Table of Content

1 Executive Summary

2 Market Landscape

3 Market Sizing

4 Five Forces Analysis

5 Market Segmentation by Application

6 Customer Landscape

7 Geographic Landscape

8 Drivers, Challenges, and Trends

9 Vendor Landscape

10 Vendor Analysis

11 Appendix

About Us

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contact

Technavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email: media@technavio.comWebsite: http://www.technavio.com/

Technavio (PRNewsfoto/Technavio)

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Worldwide Artificial Intelligence (AI) in Drug Discovery Market to reach $ 4.0 billion by 2027 at a CAGR of 45.7% – ResearchAndMarkets.com – Business…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in Drug Discovery Market by Component (Software, Service), Technology (ML, DL), Application (Neurodegenerative Diseases, Immuno-Oncology, CVD), End User (Pharmaceutical & Biotechnology, CRO), Region - Global forecast to 2024" report has been added to ResearchAndMarkets.com's offering.

The Artificial intelligence/AI in drug discovery Market is projected to reach USD 4.0 billion by 2027 from USD 0.6 billion in 2022, at a CAGR of 45.7% during the forecast period. The growth of this market is primarily driven by factors such as the need to control drug discovery & development costs and reduce the overall time taken in this process, the rising adoption of cloud-based applications and services. On the other hand, the inadequate availability of skilled labor is key factor restraining the market growth at certain extent over the forecast period.

Services segment is estimated to hold the major share in 2022 and also expected to grow at the highest over the forecast period

On the basis of offering, the AI in drug discovery market is bifurcated into software and services. the services segment expected to account for the largest market share of the global AI in drug discovery services market in 2022, and expected to grow fastest CAGR during the forecast period. The advantages and benefits associated with these services and the strong demand for AI services among end users are the key factors for the growth of this segment.

Machine learning technology segment accounted for the largest share of the global AI in drug discovery market

On the basis of technology, the AI in drug discovery market is segmented into machine learning and other technologies. The machine learning segment accounted for the largest share of the global market in 2021 and expected to grow at the highest CAGR during the forecast period. High adoption of machine learning technology among CRO, pharmaceutical and biotechnology companies and capability of these technologies to extract insights from data sets, which helps accelerate the drug discovery process are some of the factors supporting the market growth of this segment.

Pharmaceutical & biotechnology companies segment expected to hold the largest share of the market in 2022

On the basis of end user, the AI in drug discovery market is divided into pharmaceutical & biotechnology companies, CROs, and research centers and academic & government institutes. In 2021, the pharmaceutical & biotechnology companies segment accounted for the largest share of the AI in drug discovery market. On the other hand, research centers and academic & government institutes are expected to witness the highest CAGR during the forecast period. The strong demand for AI-based tools in making the entire drug discovery process more time and cost-efficient is the key growth factor of pharmaceutical and biotechnology end-user segment.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

4.1 Growing Need to Control Drug Discovery & Development Costs is a Key Factor Driving the Adoption of AI in Drug Discovery Solutions

4.2 Services Segment to Witness the Highest Growth During the Forecast Period

4.3 Deep Learning Segment Accounted for the Largest Market Share in 2021

4.4 North America is the Fastest-Growing Regional Market for AI in Drug Discovery

5 Market Overview

5.1 Introduction

5.2 Market Dynamics

5.2.1 Market Drivers

5.2.1.1 Growing Number of Cross-Industry Collaborations and Partnerships

5.2.1.2 Growing Need to Control Drug Discovery & Development Costs and Reduce Time Involved in Drug Development

5.2.1.3 Patent Expiry of Several Drugs

5.2.2 Market Restraints

5.2.2.1 Shortage of AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

5.2.3 Market Opportunities

5.2.3.1 Growing Biotechnology Industry

5.2.3.2 Emerging Markets

5.2.3.3 Focus on Developing Human-Aware AI Systems

5.2.3.4 Growth in the Drugs and Biologics Market Despite the COVID-19 Pandemic

5.2.4 Market Challenges

5.2.4.1 Limited Availability of Data Sets

5.3 Value Chain Analysis

5.4 Porter's Five Forces Analysiss

5.5 Ecosystem

5.6 Technology Analysis

5.7 Pricing Analysis

5.8 Business Models

5.9 Regulations

5.10 Conferences and Webinars

5.11 Case Study Analysis

6 Artificial Intelligence in Drug Discovery Market, by Offering

7 Artificial Intelligence in Drug Discovery Market, by Technology

8 Artificial Intelligence in Drug Discovery Market, by Application

9 Artificial Intelligence in Drug Discovery Market, by End-user

10 Artificial Intelligence in Drug Discovery Market, by Region

11 Competitive Landscape

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/q5pvns

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Worldwide Artificial Intelligence (AI) in Drug Discovery Market to reach $ 4.0 billion by 2027 at a CAGR of 45.7% - ResearchAndMarkets.com - Business...

Artificial Intelligence in Aviation Market Size, Scope and Forecast | Micron, Intel, Boeing, Lockheed Martin, Xilinx, IBM, Amazon, Nvidia, Microsoft,…

New Jersey, United States The Artificial Intelligence in AviationMarket research report aims at providing a quick overview of the overall performance of the industry and significant novel trends. Important insights, as well as findings, latest key drivers, and constraints, are also depicted here. A huge array of quantitative and qualitative techniques is used by market analysts including in-depth interviews, ethnography, customer surveys, and analysis of secondary data. It becomes easy for major players to collect important data regarding key organizations along with insights such as customer behavior, market size, competition, and market need. By referring to this Artificial Intelligence in Aviation market study report, it becomes easy for key players to take evidence-based decisions.

This Artificial Intelligence in Aviation market study report adds the potential to impact its readers and users as the market growth rate is affected by innovative products, increasing demand for the product, raw material affluence, increasing disposable incomes, and altering consumption technologies. It also covers the effect of the COVID-19 virus on the growth and development of the market. Market players can study the report briefly before investing in the market and expecting higher returns. According to the report, the market scenario keeps on fluctuating based on many factors.

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Key Players Mentioned in the Artificial Intelligence in Aviation Market Research Report:

Micron, Intel, Boeing, Lockheed Martin, Xilinx, IBM, Amazon, Nvidia, Microsoft, Airbus, Samsung Electronics, GE, Thales and Garmin.

There are several industries wanting to determine what customers really want and the Artificial Intelligence in Aviation market report helps in this regard by carrying out in-detailed market research. Before bringing a novel product into the market, every business owner wants to know the demand for the product, and this market study report works as the best guide for them. It further helps to meet business requirements by covering all the latest market advancements. Artificial Intelligence in Aviation market report is the best medium to have close eye on the activities of leading competitors as well as strategies they are deploying for business expansion. It further makes an in-depth analysis for the evaluation period 2022-2028 to bring more business opportunities for the company owners.

Artificial Intelligence in AviationMarket Segmentation:

Artificial Intelligence in Aviation Market, By Offering

Hardware Software Services

Artificial Intelligence in Aviation Market, By Technology

Machine Learning Natural Language Processing Context Awareness Computing Computer Vision

Artificial Intelligence in Aviation Market, By Application

Virtual Assistants Smart Maintenance Manufacturing Training Others

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Artificial Intelligence in Aviation Market Report Scope

Key questions answered in the report:

1. Which are the five top players of the Artificial Intelligence in Aviation market?

2. How will the Artificial Intelligence in Aviation market change in the next five years?

3. Which product and application will take a lions share of the Artificial Intelligence in Aviation market?

4. What are the drivers and restraints of the Artificial Intelligence in Aviation market?

5. Which regional market will show the highest growth?

6. What will be the CAGR and size of the Artificial Intelligence in Aviation market throughout the forecast period?

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Artificial Intelligence in Aviation Market Size, Scope and Forecast | Micron, Intel, Boeing, Lockheed Martin, Xilinx, IBM, Amazon, Nvidia, Microsoft,...