Mediaboss Marketing

After spending $2.5 billion over five years, Uber is still far from delivering its self-driving vehicles.

As corporate spending on artificial intelligence systems is set to pass $50 billion this year, the vast majority of companies may not be seeing much return on that record investment.

In a survey of more than 3,000 company managers about their AI spend, only 10% reported significant financial benefits from their investment so far, the new report from MIT Sloan Management Review and Boston Consulting Group found.

Gains from the tech havent kept pace with increased adoption, says Shervin Khodabandeh, who led the study and is co-head of BCGs AI business in North America. We are seeing more activity, which also means more investment in technology and data science, Khodabandeh says. But that impact line hasnt really changed.

The results should prove concerning to corporations that continue to pour money into AI projects at a breakneck clip, looking to use the tools for everything from managing contracts to powering home assistants and self-driving cars. More than $50 billion is expected to be invested in AI systems globally this year, according to IDC, up from $37.5 billion in 2019. By 2024, investment is expected to reach $110 billion, IDC forecasts.

But despite the billions invested, failed AI projects have become an increasing factor. IBM has deprioritized its Watson technology after drawing scorn for ventures like one $62 million oncology project that made inaccurate suggestions on cancer treatments. Amazon canned an AI recruitment tool after it showed misogynistic biases. And smaller businesses have found that building the technology is harder than it looks, as supposedly AI-powered virtual assistants and meetings schedulers end up relying on actual humans behind the scenes.

Companies are struggling to deliver on AI projects, Khodabandeh says, because they overspend on technology and data scientists, without implementing changes in the business processes that could benefit from AI a conclusion that echoes a Harvard Business Review report published in June.

Take Uber. Last month, engineers at the ride-hailing company concluded that its self-driving cars couldnt drive more than half a mile before encountering a problem. The programs artificial intelligence still struggles with simple routines and simple maneuvers, per a report in The Information. Part of the reason for the failure, according to an internal memo: competing internal ideas on how to implement the tech.

But with AIs promise of large-scale business savings and improvements, companies arent likely to stop investing in the technology soon. The BCG and MIT researchers found that 57% of companies said they've deployed or piloted their own AI projects, up from 44% in 2018.

For those projects to pay off, Khodabandeh says more AI adopters will need to rethink how the tech is integrated within their businesses. There's clearly a lot of hype, he says. And some of that hype comes out in the data.

The rest is here:
Companies Will Spend $50 Billion On Artificial Intelligence This Year With Little To Show For It - Forbes

Dr. Ahmed Ghazi, a urologist and director of the simulation innovation lab at the University of Rochester (N.Y.) Medical Center, once thought autonomous robotic surgery wasnt possible. He changed his mind after seeing a research group successfully complete a running suture on one of his labs tissue models with an autonomous robot.

It was surprisingly preciseand impressive, Ghazi said. But whats missing from the autonomous robot is the judgment, he said. Every single patient, when you look inside to do the same surgery, is very different. Ghazi suggested thinking about autonomous surgical procedures like an airplane on autopilot: the pilots still there. The future of autonomous surgery is there, but it has to be guided by the surgeon, he said.

Its also a matter of ensuring AI surgical systems are trained on high-quality and representative data, experts say. Before implementing any AI product, providers need to understand what data the program was trained on and what data it considers to make its decisions, said Dr. Andrew Furman, executive director of clinical excellence at ECRI. What data were input for the software or product to make a particular decision must also be weighed, and are those inputs comparable to other populations? he said.

To create a model capable of making surgical decisions, developers need to train it on thousands of previous surgical cases. That could be a long-term outcome of using AI to analyze video recordings of surgical procedures, said Dr. Tamir Wolf, co-founder and CEO of Theator, another company that does just that.

While the companys current product is designed to help surgeons prepare for a procedure and review their performance, its vision is to use insights from that data to underpin real-time decision support and, eventually, autonomous surgical systems.

UC San Diego Health is using a video-analysis tool developed by Digital Surgery, an AI and analytics company Medtronic acquired earlier this year. The acquisition is part of Medtronics strategy to bolster its AI capabilities, said Megan Rosengarten, vice president and general manager of surgical robotics at Medtronic.

Theres a lot of places where were going to build upon that, Rosengarten said. She described a likely evolution from AI providing recommendations for nonclinical workflows, to offering intra-operative clinical decision support, to automating aspects of nonclinical tasks, and possibly to automating aspects of clinical tasks.

Autonomous surgical robots arent a specific end goal Medtronic is aiming for, she said, though the companys current work could serve as building blocks for automation.

Intuitive Surgical, creator of the da Vinci system, isnt actively looking to develop autonomous robotic systems, according to Brian Miller, the companys senior vice president and general manager for systems, imaging and digital.Its AI products so far use the technology to create 3D visualizations from images and extract insights from how surgeons interact with the companys equipment.

To develop an automated robotic product, it would have to solve a real problem identified by customers, Miller said, which he hasnt seen. Were looking to augment what the surgeon or what the users can do, he said.

Visit link:
Artificial intelligence gets real in the OR - Modern Healthcare

The coronavirus pandemic hit the world at the beginning of the year 2020, and only two months short of entering 2021, the pandemic is still there and the disease is still inflicting thousands of people around the globe. Scientists and researchers from top universities and healthcare facilities have been spending their days and nights in trying to find a way to stop the spread of the disease and to find a cure for the novel virus, but not much has been achieved as yet despite all our modern technology and scientific advancement. Even a vaccine has not been successfully released by any country despite many tall claims.

Amidst all the chaos, the Silicon Valley giant Facebook has recently published a paper in which the company has announced to use Artificial Intelligence to predict the spread of COVID-19 beforehand. This would help the hospitals and healthcare facilities of that area where a spike is predicted to prepare themselves, and It will also give a chance to the people residing in those areas to take proper measures to limit the spread of the virus.

Facebook is going to use the Artificial Intelligence technique to develop a system that will be workable in counties across entire America. This system will look into the inherent qualities and features of the diseases, as well as the social conditions and limitations of the counties that may play a role in the spread of the virus. This way, this system will be able to predict the disease 14-days before it spikes in a county.

The algorithm of this system will be factored with the traits of the disease and the public and anonymized data collected from the county, its time-based case data, etc. This will help the company to predict and influence measures like social distancing, limited mobility, etc. Facebook has also designed a neural autoregressive model, which is capable of separating regional elements from disease-related content in those data sets. So, if one county gets affected by the COVID-19, this model will look into all the data about the cases, the severity of the diseases, and the number of infected people, and based on all the data from one county, it can predict the spike of disease in nearby counties too. This way, those other counties will get a go-ahead and a chance to prepare themselves and their hospitals, etc. with the right elements to limit the spread of the disease. The researchers think that this complex AI model will help many people in the long haul.

Facebook will publish all its predictions every week on the platform of the Humanitarian Data Exchange. And the company is also teaming up with the Universitat Politcnica de Catalunya in Barcelona to include Europe in this new venture too. All the forecasts from America will also be included in European Commission reports helping the researchers and experts there also to understand this disease and to find a way to limit its spread globally.

So, far, these predictions will be county-based. It is not known if Facebook will be able to achieve much success on the state level or not. Besides, the adoption of the system and real-time accuracy in relation to the entire world are several factors that make the whole proposal a little dubious. Let us see how Facebook achieves what it is looking for through this AI system?

Go here to read the rest:
Facebook announces to use Artificial Intelligence to predict the spike of COVID-19 fourteen days before - Digital Information World

Once the AI Partners are integrated in these classrooms, Whitehill and his team will be able to collect data on how students interact with them, and then iteratively make them more intelligent and effective. Initially, the AI Partner might be controlled by a human teacher in a backroom (Wizard of Oz-style interaction), but over time, it can learn from its human controller what to do when and thereby become more autonomous. Whitehill and his team anticipate that the particular form that the Partner takes is likely also important.

Students might find an embodied robot creepy, but they might like interacting with an animated avatar on a touchscreen, he says.

This project represents a shift in how researchers envision AI in the classroom. While earlier work in this field sought to fully automate the teaching process, which Whitehill considers to be infeasible, this project is about human-AI teaming, and how humans and teachers possess complementary abilities. AI Partners can help to magnify teachers existing strengths by increasing the number of students in the classroom who receive the real-time feedback they need for optimal learning.

Whitehill also says that this research will be greatly informative even during the COVID-19 pandemic, when many school districts across the country are participating in remote learning. In fact, he says testing agent-student interactions over platforms like Zoom have certain advantages over in-person interactions.

With Zoom, each student and teacher in the classroom is cleanly separated from each other, and all their audiovisual inputs are channeled through a common software interface. This makes it much easier to analyze their speech, gestures, language, and interactions with each other, Whitehill says. In contrast, in normal, in-person classrooms, the interactions are much messier, since students often sit in all kinds of different positions, might be touching their faces, and work in a noisy environment, which makes it more challenging for the Partner to observe and analyze.

By the end of this research, Whitehill says he hopes to find practical teaching and coaching strategies that AI Partners can execute that work well with students. Its not clear at all that the way humans teach would work well for a computer, robot, or avatar, he says.

While the computational challenges of the projectsignal processing in extremely noisy and cluttered settings, real-time control in an uncertain environment, and human-computer interaction for a novel settingare formidable, Whitehill says the potential rewards make it worth the effort.

The exciting thing about this project is that we get to completely rethink the role of AI in the classroom, he says. My hope is that, through next-generation educational AI, we will be able to stimulate deeper critical thinking and collaboration among students to help them learn better and achieve more.

Jessica Messier

See the article here:
Can Artificial Intelligence Help Students Work Better Together? According to Research, the Answer is Yes. - WPI News

DBMR Analyst have added a new research study on TitleGlobal Artificial Intelligence Robots Market Research Reportwith a detailed overview of market dynamics, segmentation, product portfolio, business plans and latest development in the industry. This report covers the growth opportunities and the limiting factors of the Artificial Intelligence Robots Market. Artificial Intelligence Robots Market size report contains growth rate, revenue, segmentation with product type, application, end-users, regions, manufacturers, and more. The Study also provides in-depth comprehensive analysis for regional segments that covers North America, Europe, Asia-Pacific, Middle East and Africa and Rest of World with Global Outlook and includes Clear Market definitions, classifications, manufacturing processes, cost structures, development policies and plans. The facts and data are well presented in the report using diagrams, graphs, pie charts, and other pictorial representations with respect to its Current Trends, Dynamics, and Business Scope & Key Statistics.

Download Free Sample (350 Pages PDF) Report at https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-robots-market&yog

Global Artificial Intelligence Robots Market Analysis:

Artificial intelligence robots market is expected to grow at a CAGR of 20.38% in the forecast period of 2020 to 2027. Data Bridge Market Research report on artificial intelligence robots market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the markets growth.

Thinking One Step Ahead

IN TODAYScompetitive world you need to think one step ahead to chase your competitors, our research offers reviews about key players, major collaborations, merger & acquisitions along with trending innovation and business policies to present better insights to drive the business into right direction.

Key Market Competitors:

The major players covered in the artificial intelligence robots market report are Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services Inc., Apple Inc., Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries, among other domestic and global players.

Some of the Major Highlights of TOC covers: Global Artificial Intelligence Robots Market

Chapter 1: Methodology & Scope

Definition and forecast parameters

Methodology and forecast parameters

Data Sources

Chapter 2: Executive Summary

Business trends

Regional trends

Product trends

End-use trends

Chapter 3: Access Control Industry Insights

Industry segmentation

Industry landscape

Vendor matrix

Technological and innovation landscape

Chapter 4: Access Control Market, By Region

Chapter 5: Company Profile

Business Overview

Financial Data

Product Landscape

Strategic Outlook

SWOT Analysis

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

Get Detailed Table of Content athttps://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-robots-market&yog

The report provides an in-depth analysis of the global Artificial Intelligence Robots Market. It highlights the latest product launches and recent innovations in the market and states their impact on the growth of the market. The competitive landscape has been discussed in detail and predictions are made with respect to leading companies and products in the coming years. Forecast values have been provided for the market for the Defined Forecast period. The factual figures have been obtained through trusted sources. Moreover, these predictions are made on the basis of extensive research analysis methods, coupled with the opinions of experienced market research professionals.

The 2020 Annual Artificial Intelligence Robots Market offers:

Order a Copy of Artificial Intelligence Robots Market Report @https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-robots-market?yog

Reason to Buy:

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavours to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude. We are content with our glorious 99.9 % client satisfying rate.

Data Bridge Market Research

US: +1 888 387 2818

UK: +44 208 089 1725

Hong Kong: +852 8192 7475

Corporatesales@databridgemarketresearch.com

Original post:
Artificial Intelligence Robots Market Business Growth Tactics, Future Strategies, competitive Outlook, Industrial Demand and Opportunities -...