Category Archives: Artificial Intelligence
Is GPT-4 the dawn of true artificial intelligence? – The Economist
OPENAIs CHAT GPT, an advanced chatbot, has taken the world by storm, amassing over 100 million monthly active users and exhibiting unprecedented capabilities. From crafting essays and fiction to designing websites and writing code. Youd be forgiven for thinking theres little it cant do.
Now its had an upgrade. GPT-4 has even more incredible abilities, it can take in photos as an input, and deliver smoother, more natural writing to the user. But it also hallucinates, throws up false answers, and remains unable to reference any world events that happened after September 2021.
Seeking to get under the hood of the Large Language Model that operates GPT-4, host Alok Jha speaks with Maria Laikata, a professor in Natural Language Processing at Queen Marys university in London. We put the technology through its paces with the economists tech-guru Ludwig Seigele, and even run it through something like a Turing Test to give an idea of whether it could pass for human-level-intelligence.
An Artificial General Intelligence is the ultimate goal of AI research, so how significant will GPT-4 and similar technologies be in the grand scheme of machine intelligence? Not very, suggests Gary Marcus, expert in both AI and human intelligence, though they will impact all of our lives both in good and bad ways.
For full access to The Economists print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience.
Listen on: Apple Podcasts | Spotify | Google | Stitcher | TuneIn
See more here:
Is GPT-4 the dawn of true artificial intelligence? - The Economist
As per the "Trust in Artificial Intelligence" study, 42% individuals fear … – Digital Information World
Artificial intelligence (AI) has proven helpful to the world in many ways, including the assistants and robots that have taken on many of the tasks associated with daily life and replaced humans in surgical procedures and other professions. Several AI models and tools that are immediately in front of our eyes are ensuring that the world will be a better place, so it's not just the robots that have a beneficial influence on humans, there are models including ChatGPT and Dall-E that have revolutionized the tech industry.
For those who may not be aware, ChatGPT is a chatbot that was introduced in November of 2022. It was created to help users with a variety of tasks. Another significant tech company, "Dell-E," is utilized to produce lifelike images only from a description. They were both created by a business named "OpenAI."
Yet, we are fully aware that it is always bad along with good, therefore to learn more about how people see artificial intelligence, a study titled "Trust in Artificial Intelligence" was conducted during September and October 2022. The University of Queensland and KGPM Australia conducted the study and provided the data on which it was based. A total of 17,193 respondents from seventeen different nations participated in the survey.
There were three separate sections in the survey's poll: "agree," "disagree," and "neutral." Despite everything that has been said about how AI has helped humanity, some individuals still believe that the world would be a far better place without it. 42% of respondents, or two out of every five, agreed with this statement.
What may be the cause of it, then? Several individuals are concerned about their occupations and careers being replaced by AI robots that resemble humans as a result of the study. While 39% of individuals polled denied that AI can take over their future, it's likely that they still believe that some jobs couldn't be replaced by it or that they aren't aware of how rapidly AI's value is increasing. The poll also found that 19% of respondents had a neutral opinion on the matter.
Nonetheless, each person sees the world from a unique perspective. According to the poll, 67% of respondents remain hopeful and upbeat about the future of AI. Even if they are aware of all the negative effects and how they will affect us, some people (57%) are still relaxed about it.
Furthermore, 47% of people report feeling extremely nervous because they fear AI would progressively destroy the human world and that there are very significant risks associated with using AI in daily life, which is not surprising. Also, 24% of them express an angry sentiment against AI and its applications.
Go here to see the original:
As per the "Trust in Artificial Intelligence" study, 42% individuals fear ... - Digital Information World
How Will Artificial Intelligence Affect Hollywood? – No Film School
Are you ready to see AI doing work in Hollywood?
Artificial Intelligence (AI) is changing the world as we know it, and the film industry is no exception. Hollywood, as a major player in the industry, is increasingly using AI as a tool to enhance the creative process, streamline production, and improve decision-making.
From writing and directing to producing and marketing, AI is being used in various ways to make Hollywood more efficient and effective. However, with these advancements come potential risks and challenges, such as the loss of creative control and the homogenization of output. It's kind of scary to think your job may not be safe because they're going to bring in a computer to do it.
In this article, we will explore how AI is affecting Hollywood and what the future may hold for this evolving relationship between technology and creativity.
Let's take a look at how artificial intelligence can affect Hollywood as a whole.
Let's take a gander at the general way artificial intelligence will change things. Some of this stuff is already happening.
Personalized Content: AI algorithms can analyze data about viewer preferences and make recommendations based on those preferences. This could lead to more personalized content being produced, as studios can use AI to tailor their movies to specific audiences.
Improved Special Effects: AI can be used to create more realistic and impressive special effects. For example, AI can be used to create more realistic facial expressions and movements in computer-generated characters.
Cost Reduction: AI can be used to automate certain aspects of the filmmaking process, such as editing or sound design, which could reduce costs and increase efficiency.
Storytelling: AI could be used to generate storylines and plot points, which could help filmmakers develop new ideas and create more compelling narratives.
Data Analysis: AI can be used to analyze data from box office sales and viewer feedback to help studios make more informed decisions about what types of movies to produce and how to market them.
AI is already having an impact on the film industry and is likely to continue to do so in the future. In terms of writers in Hollywood, AI could potentially have both positive and negative effects.
On the positive side, AI could be used as a tool to help writers with tasks such as generating ideas, developing characters, and even writing dialogue. For example, some companies are already using AI algorithms to analyze audience data and make recommendations about what kind of movies or TV shows are likely to be successful. AI could also be used to create more efficient and effective writing processes, allowing writers to focus more on the creative aspects of their work.
However, there are also potential negative effects of AI on writers in Hollywood.
One concern is that AI could be used to replace human writers altogether, leading to job losses and a loss of creativity in the industry. Another concern is that AI could be used to create content that is formulaic or lacks originality. It might be bad at the nuance of human experience and be limited with how it perceives life.
'Metropolis'Credit: Parufamet
Writers won't be the only ones affected by this new trend. Directors also should have some worries. On the positive side, AI could be used as a tool to help directors with tasks such as pre-visualization, shot planning, and post-production.
For example, AI could be used to create virtual sets, which could help directors to visualize their scenes and make decisions about camera angles and lighting before filming begins. AI could also be used to analyze and edit footage, making the post-production process more efficient and cost-effective.
However, there are also potential negative effects of AI on directors in Hollywood.
One concern is that AI could be used to replace human directors altogether. We would instead have computers trying to tell us about the human experience or estimating emotions they are not complex enough to feel. This could lead toward an overreliance on tropes or the points of view of the people who created the AI, which may not be reflexive as a whole.
'Mr. Robot'Credit: USA Network
When it comes to producing, AI could be used as a tool to help producers with tasks such as predicting audience response, optimizing marketing strategies, and even identifying potential investment opportunities.
For example, AI algorithms could analyze audience data to predict which types of films or TV shows are likely to be successful, helping producers make more informed decisions about what projects to pursue. AI could also be used to analyze marketing data and make recommendations about how to reach and engage audiences more effectively.
In reality, this kind of intelligence might completely eliminate producers. Who needs someone to make calls to package when a computer can send form emails to agents or use its metrics to decide which projects it should be greenlighting?
That just is the start.
'Ex Machina'Credit: A24
I hate being a constant fearmonger on this website, but I don't like the cavalier way people have been talking about artificial intelligence and its applications in Hollywood. It's going to take jobs away from artists and people with taste, and we have to nip that in the bud now before it is too late.
People keep saying that AI is further in the future than you think, but what if I told you that if you read this article, every paragraph up until this section was mostly written by a computer? Yes, I had to go through and polish it and, yes, there were a few mistakes, but we are not as far off from this being the norm as you think.
I legitimately just added the headings and let Chat GPT do the rest, mostly as an experiment. And I think we can agree those answers are well thought out and mimic the way I usually write. They even mimic our website format.
The fact is, when giant corporations buy a bunch of Hollywood companies, they are looking for ways to strip the movie and TV process down. How can we employ fewer people and maximize profits? Well, I think they will do it with computer-generated stories and positions.
That spells less creativity and originality and work for us all.
Let me know what you think about all this in the comments.
Visit link:
How Will Artificial Intelligence Affect Hollywood? - No Film School
Artificial Intelligence Market Is Expected To Reach USD 1,811.75 Billion by 2030, Grow at a CAGR Of 37.3% during Forecast Period 2023 To 2030 | Data…
Contrive Datum Insights Pvt Ltd
According to a market research study published by Contrive Datum Insights, North America is the largest market for AI, with the United States and Canada being major players in the development and adoption of AI technologies.
Farmington, March 22, 2023 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence Market Size Was Valued At Around USD 136.55 Billion In 2022 And Is Projected To Expand USD 1,811.75 Billion, With a CAGR Of 37.3% From 2023 To 2030. The AI market is made up of several smaller markets, such as natural language processing, machine learning, deep learning, computer vision, and others. These technologies are used a lot in many different fields, like healthcare, the auto industry, finance, retail, and more.
At the moment, North America is the biggest market for AI. Europe and the Asia-Pacific region come next. Some of the main things that are making the AI market grow are the growing use of AI in different industries, the growing demand for products and services that use AI, and the growth of big data.
IBM, Google, Microsoft, Amazon, Intel, NVIDIA, and other companies are some of the most important ones in the global AI market. These companies put a lot of money into research and development to come up with new AI-based products and services and to improve the speed and accuracy of AI systems they already have.
Request Sample Copy of Report Artificial Intelligence Market Size, Share & Trends Estimation Report By Solution Outlook (Hardware, Software & Services), By Technology Outlook (Deep Learning, Machine Learning, Natural Language Processing (NLP) & Machine Vision), By End User Outlook (Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction & Clinical Trial Participant Identifier) By Region, And Segment Forecasts, 2023 - 2030, published by Contrive Datum Insights.
Segmentation Overview:
Solution Insights:
In the AI services market, vendors offer consulting, integration, and support services to help businesses set up and maintain AI technologies.
Story continues
Each of these solution outlook segments gives businesses and organisations in the AI market a different set of chances and problems. Understanding the pros and cons of each segment can help businesses come up with good plans for using AI to improve their operations and drive growth.
Technology Insights:
In the technology outlook segment analysis of the global artificial intelligence market, the different kinds of AI technologies that are used now or are likely to be used in the future are listed. Some of the most important technology outlooks in the AI market are:
Deep learning is a type of machine learning in which neural networks are used to process and analyse complicated data. It is used to do things like recognise speech, process images, and translate languages.
End User Insights:
The global artificial intelligence market's end user segment analysis shows which industries and sectors are using AI technologies. Some of the most important types of end users in the AI market are:
AI is being used in the manufacturing industry for things like predictive maintenance, quality control, and optimising the supply chain. AI is also being used to make manufacturing operations more productive and cut costs. Agriculture, energy, and education are some other fields that are using AI technologies.
Regional Outlook:
North America is the biggest market for AI, and the US and Canada are two of the biggest players in developing and using AI technologies. The area has a strong ecosystem of AI startups and technology companies, and the people who work there are very skilled.
AI is becoming more popular in Latin America, where countries like Brazil and Mexico are investing in research and development. The area has a lot of people and a growing digital economy, which makes it a good place for AI to be used in areas like finance and e-commerce.
Buy this Premium Research Report@https://www.contrivedatuminsights.com/buy/248582
Scope of Report:
Report Attributes
Details
Growth Rate
CAGR of 38.5% from 2023 to 2030.
Revenue Forecast by 2030
USD 1,811.75 Billion
By Technology
Hardware, Software, Services, Other
By Technology
Retail, Advertising & Media, Automotive & Transportation, Agriculture, Manufacturing, Other
By Law
Deep Learning, Machine Learning, Natural Language Processing (NLP), Machine Vision, Other
By End-use
Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Automated Image Diagnosis, BFSI, Risk Assessment, Financial Analysis/Research, Investment/Portfolio Management, Other
By Companies
Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc.
Regions andCountries Covered
North America: (US, Canada, Mexico, Rest of North America)
Europe(Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
Asia-Pacific (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
The Middle East & Africa(Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
Latin America(Brazil, Argentina, Rest of Latin America)
Rest Of the World
Base Year
2022
Historical Year
2017 to 2022
Forecast Year
2023 to 2030
Market Dynamics:
Latest Trends:
Advancements in technology: As machine learning, deep learning, and natural language processing get better, AI gets more accurate, efficient, and cost-effective. AI is being used in more and more industries because of these changes in technology.
Rising need for personalization: Consumers want more and more personalised experiences from businesses, and AI can be used to analyse and process large amounts of data to create customised experiences for customers.
Cost savings: AI can help businesses save money by automating processes and optimising operations. This makes businesses more efficient and cuts down on labour costs.
Improved decision-making: AI can help organisations make data-driven decisions by analysing large amounts of data and giving insights that humans may not be able to see.
The global AI market is growing because of how fast technology is changing, how much data is being made, and how many people want automation and personalization.
Restraining Factors:
Integration with legacy systems: Many organisations have legacy systems that aren't compatible with AI technologies, which can make integration and implementation hard and expensive.
Lack of understanding and trust: People and businesses may not fully understand and trust AI technologies, which could slow down their use and investment.
Regulatory hurdles: AI regulations are still in their early stages, so it's not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.
These things could slow the growth of the global AI market, but continued investments in talent development, ethical guidelines, and regulatory frameworks, as well as more awareness and understanding of AI, could help to overcome these problems.
Opportunity Factors:
Improved customer experience: AI can be used to analyse customer data and give customers more personalised experiences, which makes customers happier and more loyal.
Enhanced cybersecurity: AI can be used to find and stop cyber threats, which improves security and makes cyber attacks less likely.
Increased accessibility: AI can be used to make products and services easier for people with disabilities to use, making them more accessible and welcoming.
Improved decision-making: AI can be used to look at a lot of data and give insights to help people make decisions based on the data.
Cost savings: AI can help businesses save money by automating processes and improving how they work. This makes them more efficient and saves money on labour costs.
There are a lot of opportunities in the AI market, which has the potential to drive innovation, improve customer experiences, and give businesses in all fields new ways to make money. As technology keeps changing and getting better, businesses that invest in AI are likely to get a competitive edge in their markets.
Challenges Factors:
Lack of skilled professionals: There aren't enough data scientists, machine learning engineers, and AI researchers who are skilled in AI right now. This can make it hard for companies to find the people they need to build and use AI technologies.
Regulatory hurdles: AI regulations are still in their early stages, so it's not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.
Data quality: The accuracy and reliability of AI systems depend on the quality of the data used to train AI models. AI models that are biased and wrong can be the result of bad data.
These problems could make it hard for AI technologies to grow and be used by more people. To solve these problems, governments, businesses, and other stakeholders will need to work together to create ethical guidelines, regulatory frameworks, and talent development programmes that support the development and use of AI in a responsible way.
Key Segments Covered:
Top Market Players: Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc., and others.
By Solution
By Technology
By End-use
Healthcare
Robot-Assisted Surgery
Virtual Nursing Assistants
Hospital Workflow Management
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Automated Image Diagnosis
BFSI
Risk Assessment
Financial Analysis/Research
Investment/Portfolio Management
Others
By Law
Regions andCountries Covered
North America: (US, Canada, Mexico, Rest of North America)
Europe: (Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
Asia-Pacific: (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
The Middle East & Africa: (Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
Latin America: (Brazil, Argentina, Rest of Latin America)
Artificial intelligence models aim to forecast eviction, promote renter … – Pennsylvania State University
UNIVERSITY PARK, Pa. Two artificial intelligence-driven models designed by researchers from the Penn State College of Information Sciences and Technology could help promote the rights of low-income renters in the United States when facing forced eviction. Both models aim to forecast where and how many renters could be at risk of eviction to help better inform policymaking and resource allocation.
The researchers first model, "Weakly-supervised Aid to Relieve Nationwide Eviction Rate," helps to identify areas where there could be a high concentration of individuals facing eviction. To identify these hotspots, their framework uses sociological data such as renters educational and financial characteristics that are historically associated with housing instability to label satellite data based on certain features in each image, such as the presence of trees and signs of gentrification. This data is used to train a machine learning model, which identifies eviction filing hotspots in other locations.
Not all states make data on housing instability and eviction rates available, and there is a high cost to collect this data when its even available, said Amulya Yadav, PNC Career Development Assistant Professor and co-author on the study. Our model presents a novel approach by using other data points related to eviction filings to create more efficient and accurate reporting that is highly generalizable to different counties across the country.
The second model, Multi-view model forecasting the number of tenants at-risk of formal eviction," aims to provide an accurate forecast of tenants at-risk of eviction at a certain point in the future.
In a similar approach, the model uses data from available eviction filing records, the U.S. Census American Community Survey, and labor and employment statistics to estimate the number of tenants who may face eviction in each census tract.
Through a collaboration with the Child Poverty Action Lab, a leading non-profit leveraging data-driven approaches to inform actions for relieving poverty-related issues across Dallas County, Texas, the team tested both models against a real-world dataset in that county, where eviction records are more complete and readily available. The models proved to be more accurate than existing baseline models, outperforming some by up to 36%.
There are resources available to help renters facing housing instability, but they are allocated with tremendous variability and sometimes theyre not used at all, said Maryam Tabar, doctoral student and lead author on the study. There is a need to use these funds and resources more efficiently, which is possible through more accurate forecasting of potential evictions.
The team presented the "Weakly-supervised Aid to Relieve Nationwide Eviction Rate" model at the 31st ACM International Conference on Information and Knowledge Management and the multi-view model forecasting the number of tenants at-risk of formal eviction at the 31st International Joint Conference on Artificial Intelligence late last year.
Both models are being evaluated by subject matter experts for a pilot deployment in the field. The team said they hope they can assist non-government organizations and policymakers in making more data-driving decisions about where to allocate resources to better address housing instability, as well as support advocacy efforts with elected officials and agencies related to housing instability.
Eviction disproportionately impacts individuals from underrepresented backgrounds and can exacerbate existing societal problems related to income disparity, educational attainment, and mental health, said Dongwon Lee, professor and co-author on the study. These models can help us better address these challenges and improve the lives of those vulnerable to eviction.
Additional contributors to the projects include doctoral candidate Wooyong Jung at Penn State College of Information Sciences and Technology, as well as Owen Wilson Chavez and Ashley Flores of The Child Poverty Action Lab. The work was supported in part by the National Science Foundation and the Bill and Melinda Gates Foundation.
Read this article:
Artificial intelligence models aim to forecast eviction, promote renter ... - Pennsylvania State University
Opinion: AI will take us to terrifying and beautiful places. Are we ready? – Silicon Valley
A ChatGPT prompt is shown on a device near a public school in Brooklyn, New York, Thursday, Jan. 5, 2023. New York City school officials started blocking this week the impressive but controversial writing tool that can generate paragraphs of human-like text. (AP Photo/Peter Morgan)
As a civilization, weve done a collectively poor job recognizing technology that is transformational. In hindsight, we shake our heads and wonder how we could have possibly overlooked the dawn of a new epoch. This being Silicon Valley, there will be another one coming along in six months.
The guy who dreamed up the wheel was probably dismissed as a nut. History is full of real whack jobs with names like Da Vinci, Newton and Copernicus. One such whack job, Douglas Engelebart, was the father of trivial things such as the mouse and the teleconference. He was Silicon Valleys own prophet without honor. He tried once to explain to me why we keep underestimating technologies that are truly revolutionary. It was as if were in a car, flying down a dark, twisty road. It keeps speeding up, he said, but the headlights arent reaching any further.
Today, were flying down a road thats going to take us to terrifying and beautiful places. Artificial intelligence isnt going to reshape tomorrow. Its disrupting the social order right now, faster than anyone, even its developers, can believe. AI has already weaponized the news and made us question everything we see or hear from the media. Marshall McLuhan said the medium is the message. Today the fake news isthe real news. We didnt used to have an entire branch of journalism devoted to separating the truth from the fabrications, but we do now.
At our own peril we fail to see that AI has the potential to make us redefine the very concepts of truth and reality. A few years ago, doctored photos were the province of those talented few who were preternaturally good at using Adobe Photoshop. I believe that were rapidly approaching the point where we have difficulty distinguishing reality from some sophomoric prank. The ability to fabricate truly heinous images that destroy peoples lives is now in the hands of anyone with access to a computer or a cell phone.
Its not a joke when that blurred reality kills somebody. If that hasnt happened already, its coming very soon. The judicial system is built on separating the true from the false. At this juncture all we have are questions about something very few people understand.
What will be considered admissible evidence when every single photo or video can be called into question? What definition of reasonable doubt will apply? What are the consequences when a criminal act is committed by a machine of its own volition? The person who becomes a forensic expert witness on AIs digital images will be thought to have the wisdom of Solomon and the power to decide what is real. Laws are based on our collective values, and the legal world is piteously behind on setting boundaries for AI, which does not have any ethics of its own. For the time being, it exists outside the law.
As always, pornography is one of the earliest fields to embrace new technology. Right now, somebody is creating a video that victimizes the president. Or the Pope. Or the 14-year-old girl across the street. Once any single image goes online, it becomes a million images that can never be erased. They will be floating around the internet like some kind of space debris.
The world-weary king got it right: There is nothing new under the sun. It was centuries ago that a new technology ushered in death on an incomprehensible scale. Beyond anyones control, it transformed every nation on the planet. Centuries of human ethics and laws have yet to rein in the power of a gun.
Today there is a nascent technology with the potential to change our reality, for better or worse. Can you see it?
David Plotnikoff began writing about digital culture in 1994.
View more onSilicon Valley
See more here:
Opinion: AI will take us to terrifying and beautiful places. Are we ready? - Silicon Valley
Artificial intelligence predicts genetics of cancerous brain tumors in under 90 seconds – Medical Xpress
This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:
fact-checked
peer-reviewed publication
trusted source
proofread
Credit: Jacob Dwyer, Justine Ross, Michigan Medicine
Using artificial intelligence, researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 secondsand possibly streamline the diagnosis and treatment of gliomas, a study suggests.
A team of neurosurgeons and engineers at Michigan Medicine, in collaboration with investigators from New York University, University of California, San Francisco and others, developed an AI-based diagnostic screening system called DeepGlioma that uses rapid imaging to analyze tumor specimens taken during an operation and detect genetic mutations more rapidly.
In a study of more than 150 patients with diffuse glioma, the most common and deadly primary brain tumor, the newly developed system identified mutations used by the World Health Organization to define molecular subgroups of the condition with an average accuracy over 90%. The results are published in Nature Medicine.
"This AI-based tool has the potential to improve the access and speed of diagnosis and care of patients with deadly brain tumors," said lead author and creator of DeepGlioma Todd Hollon, M.D., a neurosurgeon at University of Michigan Health and assistant professor of neurosurgery at U-M Medical School.
Molecular classification is increasingly central to the diagnosis and treatment of gliomas, as the benefits and risks of surgery vary among brain tumor patients depending on their genetic makeup. In fact, patients with a specific type of diffuse glioma called astrocytomas can gain an average of five years with complete tumor removal compared to other diffuse glioma subtypes.
However, access to molecular testing for diffuse glioma is limited and not uniformly available at centers that treat patients with brain tumors. When it is available, Hollon says, the turnaround time for results can take days, even weeks.
"Barriers to molecular diagnosis can result in suboptimal care for patients with brain tumors, complicating surgical decision-making and selection of chemoradiation regimens," Hollon said. Bedside SRH and DeepGlioma workflow. Credit: Nature Medicine (2023). DOI: 10.1038/s41591-023-02252-4
Prior to DeepGlioma, surgeons did not have a method to differentiate diffuse gliomas during surgery. An idea that started in 2019, the system combines deep neural networks with an optical imaging method known as stimulated Raman histology, which was also developed at U-M, to image brain tumor tissue in real time.
"DeepGlioma creates an avenue for accurate and more timely identification that would give providers a better chance to define treatments and predict patient prognosis," Hollon said.
Even with optimal standard-of-care treatment, patients with diffuse glioma face limited treatment options. The median survival time for patients with malignant diffuse gliomas is only 18 months.
While the development of medications to treat the tumors is essential, fewer than 10% of patients with glioma are enrolled in clinical trials, which often limit participation by molecular subgroups. Researchers hope that DeepGlioma can be a catalyst for early trial enrollment.
"Progress in the treatment of the most deadly brain tumors has been limited in the past decades- in part because it has been hard to identify the patients who would benefit most from targeted therapies," said senior author Daniel Orringer, M.D., an associate professor of neurosurgery and pathology at NYU Grossman School of Medicine, who developed stimulated Raman histology. "Rapid methods for molecular classification hold great promise for rethinking clinical trial design and bringing new therapies to patients."
More information: Todd Hollon, Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging, Nature Medicine (2023). DOI: 10.1038/s41591-023-02252-4. http://www.nature.com/articles/s41591-023-02252-4
Journal information: Nature Medicine
View original post here:
Artificial intelligence predicts genetics of cancerous brain tumors in under 90 seconds - Medical Xpress
Houston Community College to host Gulf Coast Annual Conference … – Community Impact Newspaper
Keying in on industrial and academic uses of artificial intelligence, Houston Community College will host a conference on both subjects March 30 and 31 from 9:45 a.m. to 4:30 p.m. at Houston Community College's West Houston Institute at 2811 Hayes Road, Houston.
On March 30, the Gulf Coast Annual Conference on Artificial Intelligence will feature a student panel on academic and career pursuits in AI and machine learning as well as keynote speakers and presentations from industry experts and educators. NVIDIA Senior Solutions Architect Pavel Dimitrov will speak on Modulus, MTC & Omniverse, while Austin Carson, founder and president of SeedAI, will speak on building AI across America.
U.S. Rep. Michael McCaul, R-Austin, is also expected to speak on March 30.
Additional speakers from NVIDIA, the Mitre Corp., semiconductor company Advanced Micro Devices, Amazon Web Services and Dell Technologies are expected to present on March 31.
Tickets are available to students for $10 a day or to professional registrants for $40 a day. Virtual registration is available for $25 and group registration is also available.
See more here:
Houston Community College to host Gulf Coast Annual Conference ... - Community Impact Newspaper
For workers in developing countries, artificial intelligence is both a boon and a bane – Scroll.in
Dinesh Raj, who lives in the south Indian city of Salem, treasures his account on microwork website Amazon Mechanical Turk, even if competition for data annotation tasks on the crowdsourced platform is high, and the pay is low.
The 30-year-old, who has an engineering degree, has struggled to find a well-paid job, and relies on the platform for much of his income, which can vary every day.
I work at night, when there are more jobs from US clients, said Raj, who has done tasks on Amazon MTurk for about four years.
Of 10 tasks I do, only two may get approved, so I have to do more tasks to make $10-$30 a day. But its still better than nothing, said Raj, who sometimes rents out his ID to members of a Facebook group of Indian workers on Amazon MTurk.
The explosive growth in artificial intelligence is driving the need for large training datasets, which are serviced by millions of workers labelling text, images, video and audio for everything from voice recognition assistants to face recognition to 3D image recognition for autonomous vehicles.
India makes up about a third of global online freelance workers, according to the International Labour Organization, with developing nations accounting for about two-thirds of the total remote workforce.
Lax labour regulations and low wages are the norm, even as workers handle the most tedious and taxing jobs with few legal protections, tech experts said.
There is some rhetoric about data annotation creating new opportunities for people who need flexibility, or need to work from home. But the workers are at the bottom of the AI value chain, said Urvashi Aneja, director of Digital Futures Lab, an Indian research collective.
A lot of this work is very precarious... with ChatGPT and other generative AI, it is also emotionally taxing. The issue of content moderation is going to become more complex, and were going to see more low-wage workers caught up in this, she said.
The launch of San Francisco-based OpenAIs ChatGPT chatbot to the public in November set off a global frenzy, with more than one million users downloading it in the first week.
Since then, the AI-based tool has been incorporated in education, marketing, customer service queries, and in online search and content creation.
With the excitement came the revelation that OpenAI had outsourced data annotation to workers in Kenya, who were paid less than $2 per hour to label content that included hate speech and images of violence and sexual abuse, according to a Time magazine investigation.
But they are not the only ones.
Chicago-based Hugo routinely hires annotators overseas, usually university-educated, and native speakers of English, French or Portuguese, according to its website.
One such worker known as a rater in Jibowu, Nigeria, said that while the work wasnt difficult, the number of tasks can be unimaginably crazy sometimes, therefore youd find yourself working beyond contractual work hours some days.
Overtime isnt paid for except when explicitly requested, he told Context on condition of anonymity to avoid reprisal.
Every minute of an eight-hour work day is tracked to the second, said the rater, and he could be penalised if he didnt do so by interacting constantly with the screen with his mouse. If he didnt track his time, hed have to restart his hours, and lose pay for any time that showed him as unavailable, he said.
Its extremely exhausting. You get little to no time for anything else, he said. Even when he finished a task, hed have to continue clicking on the page until his eight hours were up, he added.
The raters payslip showed he was paid 127,500 naira ($274) for a months work in January, or about $1.50 an hour, approximately four times higher than the national minimum wage of 30,000 naira per month.
A Hugo spokesperson said the companys teams operate on a mandated maximum of an eight-hour workday ... When the client requests overtime, we offer it to our team members, who can voluntarily work it fully compensated on pre-agreed premiums.
We count young men, women, stay-at-home mothers, and recent grads among our team, all requiring flexibility to care for and sustain a career, they said in an emailed statement.
In the Philippines long an outsourcing destination for its young, English-speaking population freelance data annotation on platforms such as Upwork has become highly competitive, said John Anthony Abayari, in Bulacan province in the central Luzon region.
Abayari, 25, has worked as a freelance data annotator for local and foreign firms since 2019 when he really needed a job, starting on a monthly salary of 12,000 pesos ($218).
Last year, he began working as a freelance video annotator, and now earns about 40,000 pesos a month.
The job can be challenging because it is time-consuming and tedious, he said.
For the money, it is still worth it. But if I get a chance for another job I will take that, he said.
India is one of the worlds largest markets for data annotation labour, with up to one million full-time and part-time workers likely by 2030, according to IT industry body the National Association of Software and Service Companies.
Currently, an estimated 50,000 data annotators are freelancers on platforms such as Amazon MTurk and Clickworker, while about 20,000 work full time in third-party firms, of which several are based in smaller towns and villages.
These firms provide workers with some training, fixed hours and monthly salaries of about $200-$300, which is particularly attractive for women, said Muzammil Hussain, founder of Tika Data, which services global firms.
The work itself is simple, so clients dont pay a lot. That got me thinking: how can I bring costs down? By setting up in small towns and villages where costs are lower, he said.
The money is always going to be low as it is a low-skilled job. But Rs 15,000-Rs 25,000 is a very good salary in a village, where there are few other opportunities for women, so they are happy, he added.
Women freelancers in India, however, can struggle even to get on to microwork platforms, often paying hefty sums in the grey market for an account, and settling for the lowest paying and most tedious tasks, according to a 2021 report by research group IT for Change, which studied Amazon MTurk.
Less than a fourth of Indian workers on the platform are women, it said.
Amazon MTurk did not respond to a request for comment.
The fact that this work is almost entirely digital and can be distributed can actually enable women to participate. It is seen as respectable work that women can do without leaving their home, and it is clean and safe work, said Sarayu Natarajan, founder of Aapti Institute, a digital think tank.
However, women face specific barriers: lower levels of access to digital technologies phones and laptops and difficulties in accessing credit financing for purchasing devices, she said.
For Anu K, the path to a job in data annotation was easier.
Living in the small town of Mannarkkad in southern Kerala state, she had few options for work despite having a masters degree, and was a stay-at-home mom.
So when she heard about Infolks, a data annotation firm that was close to her home and hiring women, she was excited.
Anu was hired, and after two months training, she began working full-time, earning about $220 a month.
I find the work interesting, and my family is very happy as I work 9 am -5 pm, and no night shifts, said Anu.
Mannarkkad is a small town, so there are not many options for women. Being in the IT sector was the dream for me, and this is the best option.
This article first appeared on Context, powered by the Thomson Reuters Foundation.
See the original post:
For workers in developing countries, artificial intelligence is both a boon and a bane - Scroll.in
Artificial Intelligence and Data Analytics, Key Tools for a More Efficient Food Industry – Food Industry Executive
Companies such as Campofro, Glovo, AB Azucarera, Lery, Angulas Aguinaga or Grupo Apex will share at the Food 4 Future World Summit how they are applying technology to be more efficient in their production plants
Technological firms such as Dassault Systems, Inser Robtica, SENER, Christeyns, Azti and Tecnalia will present their latest solutions at F4F Expo Foodtech
Madrid, 23rd March 2023 F4F Expo Foodtech, the global technology event for the food and beverage industry, returns from 16-18 May in Bilbao (Spain). Over three days, it will bring together more than 7,000 professionals and 380 experts from all over the world to analyse the challenges facing the sector and define the steps to be taken to boost sustainability, innovation and digitalisation for the food and beverage industry.
As a novelty, the Food 4 Future World Summit will host the Plant Managers Summit, a new forum for plant and production managers in the food industry. The Plant Managers Summit will analyse how Artificial Intelligence and Big Data contribute to improving workflow optimisation in food production, to reduce and improve production efficiency. In this regard, Juan Manuel Lpez, from Dassault Systems, Elisa Caballero, from Glovo, and Idoia Olabarrieta, from AZTI, will explain how the use of these technologies improves the efficiency of the food industry using predictive maintenance, quality control, supply chain optimisation, energy optimisation and predictive demand forecasting.
On the other hand, it is also relevant the role of digital twins for better plant maintenance, which allows a significant cost reduction in production systems and an improvement in process capacity. Ignacio Valero, from LIS Data Solutions, will share how taking care of several production plants or managing processes in a preventive way using tools such as digital twins is leading to a leap in quality in production in the food sector.
Irene Ylla Monfort from Christeyns, Jess Sanz from Campofro, Aitor Duarte from Lery and Jon Martnez from Inser Robtica will explain how the use of robotics and automation makes it possible to reduce waste, improve efficiency and increase product quality in food production. Currently, robotics and automation are being used to improve precision farming practices, improve food processing and livestock management, as well as improve supply chain management practices, including inventory control, transportation and distribution.
Energy efficiency is another challenge facing the food industry. Josu Aramburu, from SENER, and Luis Prez Almeida, from Igersoll Rand, will analyse its importance in the sector and how we can respond to this challenge through smart buildings, renewable energies, energy storage and smart grids. Agustn Prez, from Citrusvil, and Gustavo Boillos, from Grupo Apex, will share how it is possible to reduce wastage, improve energy efficiency and reduce the carbon footprint of food production through renewable energies, and will present success stories in the integration of renewable energies (solar, wind, biogas and hydro) in food production processes.
Finally, Laura Alonso, from Tecnalia, and Garazi Inunciaga, from AB Azucarera Iberia, will explain how heating and cooling processes play a fundamental role in the food industry, and improvements in these processes can lead to significant energy savings and greater sustainability. Gradually, we are seeing improvements being made to heating and cooling processes in the food industry: insulation, heat recovery, energy-efficient refrigeration and combined heat and power systems that generate both electricity and heat from a single energy source, such as natural gas or biogas. All these contribute to reducing energy waste and improving energy efficiency in food production.
About F4F Expo Foodtech: F4F Expo Foodtech (May 16-18, 2023, BEC-Bilbao) is the innovation event for professionals of the entire value chain of the food sector. For three days, F4F Expo Foodtech will bring together more than 8,000 visitors and 250 exhibiting firms to showcase the latest solutions in foodtech, robotics and automation, processing and packaging machinery for the different segments of the food industry, as well as in food safety and science. In addition, it will host the Food 4 Future World Summit, the largest European conference in which more than 450 international experts will discover the latest trends, success stories and tools to transform the food and beverage industry. F4F Expo Foodtech is organized by NEBEXT and AZTI.
About NEBEXT: Next Business Exhibitions (NEBEXT) is the largest private organizer of professional events in Spain specialized in technology, innovation and sustainability for different industries.
About AZTI: AZTI is a science and technology center that develops high-impact transformational projects and businesses with organizations aligned with the SDG 2030, specializing in marine and food, bringing cutting-edge, value-added products and technologies based on sound science and research.
About ICEX: ICEX is a public business entity with its legal personality, dependent on the Secretary of State for Trade of the Ministry of Industry, Trade and Tourism, whose mission is to promote the internationalisation of Spanish companies to contribute to their competitiveness and add value to the economy as a whole, as well as to attract foreign investment to Spain.
See the rest here:
Artificial Intelligence and Data Analytics, Key Tools for a More Efficient Food Industry - Food Industry Executive