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AI Machines Are After Women’s Jobs! Will Upskilling Help Retain?

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AI Machines Are After Women’s Jobs! Will Upskilling Help Retain?

AI and automation are seeping into our daily working female office workers, it’s urged to upskill

AI has the ability of computers and other machines to work intelligently without human intervention. Artificial intelligence and automation are seeping into our daily working lives and female office workers are among those whose jobs are being taken over by machines. Women are more vulnerable to job loss from automation and AI than men. A focus on upskilling measures can provide promising female employees with the skills they’ll need to be leaders in a new digital era.

Workers are being urged to upskill. Reskilling also offers an exciting strategy for bringing women who have stopped working mid-career back to work. Furthermore, those skills traditionally associated with women, including caring and empathizing, may become more highly prized in the workplace, which could be a plus for female workers. Analysts have found the jobs facing the fastest automation include retail workers, bookkeepers, and receptionists

 

Women in industries under threat from AI and automation:

Australian teaching organization that’s urging people to upskill so they don’t find themselves out of work. Many of the jobs being automated are female-dominated. Many female-dominated industries are going to be altered by the increasing automation of what used to be labor-intensive fields. Artificial intelligence and automation are deployed to do everything from statutory declarations to complex receiverships. Technology has automated manual and repetitive accounting tasks.

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Pearson’s analysis found that by 2032 more than 10% of the work currently done by translators will be automated, and many will be in female-dominated industries. Pearson’s data also shows the less obvious pictures of automation encroaching into office environments, including for medical receptionists, accountants, and personal assistants. Pearson’s data found that 13% of an accountant’s current work will have been automated by 2027.

Females are more likely to be negatively impacted by technology than males. Women represent almost 50% of that industry’s total workforce, but they hold only 25% of senior management positions, many of which are insulated from the shocks of automation. Some are older women who are less tech-savvy and able to keep up with the industry’s fast-moving technological advances.

Upskilling talent is absolutely critical for leaders themselves to keep learning and remain relevant as the world of work changes. while undergoing training/upskilling programs, it’s possible that an individual comes across or conceives some unique ideas that can later evolve into successful projects. Upskilling is a powerful way of helping women ahead in both professional and social spheres.

Artificial Intelligence may pose a threat to certain types of jobs, but there is a solution though for workers who feel threatened. Upskilling is necessary to ensure career growth for women professionals in the technology sector. It enables them to keep pace with the advancements and changes in the rapidly-evolving tech industry. Ensuring that women have an equal role in the future of work will require significant attitude changes for both men and women.

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Top 10 AI Universities Leading In Research And Innovation In 2023

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Top 10 AI Universities Leading In Research And Innovation In 2023

Here are the top 10 AI universities engaged in research and innovation in 2023

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. AI research is the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. A professional degree in AI from a reputed university will help you get started in this AI industry. It has signified a great number of developing technologies including robotics, IoT, and big data. Here are the top 10 AI universities engaged in research and innovation in 2023.

 

Harvard University:

Harvard University opened the Lawrence Scientific School as its first formal effort to provide higher-level education in engineering and the sciences. Under the category of Computer Science, Artificial Intelligence and the subsets of Computational Linguistics, Machine Learning, Multi-agent Systems, and Robotics, are researched in detail by various faculty members.

 

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Stanford University:

Standford University ranks #2 on Nature’s Index for top academic institutions in AI. The Stanford Artificial Intelligence Laboratory is set up to advance knowledge and foster learning. The lab team is always working on new AI research projects like the MetaMorph model and task-specific fine-tuning for robotics.

 

Carnegie Mellon University:

Carnegie Mellon University is frequently heard of in the AI research community. CMU’s research leads in upcoming AI concepts of self-driving cars, speech recognition, advanced sensor design, facial recognition software, and more. CMU has worked on several projects, including five interactive maps, etc.

 

MIT:

The Massachusetts Institute of Technology is known for its MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the lab has housed some of the top researchers and won several awards, and mentored leaders that have gone ahead to create notable innovations.

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University of California Berkeley:

UC Berkeley is consistently ranked among the five top research universities globally with an AI research unit. The Berkeley Artificial Intelligence Centre lab includes ML, NLP, planning, control, and robotics.

 

Cornell University:

Cornell University is ranked fourth in the world for research in engineering. Cornell’s research is conducted in several areas like robotics, NLP, vision, ML, and interdisciplinary topics related to AI.

 

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Vellore Insititute of Technology:

The school of computer science at Vellore Insititute of Technology has more than 1500 publications. It aims to further apply research in computer science and offers Ph.D. courses. The team of VIT students and alumni worked on the prevalent XOR problem and found a solution.

 

Indian Institute of Technology, Bombay:

The IIT Bombay research lab, Center for Indian Language Technology, the department offers Ph.D. programs in computer science and is one of the most well-known for its AI research. The latest research like Breaking the trial-and-error loop in Material Design through Machine Learning and ‘Computational techniques to measure small amounts of soot.

 

Indian Institute of Technology, Delhi:

IIT-D is among the top five IITs and encourages AI research in India. The university opened the School of Artificial Intelligence center for Ph.D. programs to multiply research productivity. IIT-D also houses a research group, Data Analytics & Intelligence Research, to build AI applications for India.

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Indian Institute of Technology, Madras:

IIT-M has developed Ai4Bharat, an NLP model to process eleven regional languages, and the Robert Bosch Centre for Data Science and Artificial Intelligence was introduced to further AI research. The research applications focus on addressing Indian issues and leveraging AI for local, vernacular, healthcare, and agricultural problems.

The post Top 10 AI Universities Leading in Research and Innovation in 2023 appeared first on Analytics Insight.

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DCNN’s Vision Incapability Could Put Real-World AI Apps In Danger

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DCNN’s Vision Incapability Could Put Real-World AI Apps In Danger

AI is currently facing several complex challenges that might jeopardize the existing models 

Artificial intelligence has become the largest innovation that the tech industry has ever witnessed. The innovation and research directed by AI are aiding global industries like healthcare, retail, and finance toward advancements. Even though evolving technology has become an important element in business development, AI is bringing new perspectives to the global entrepreneurial paradigm with its avant-garde approaches. AI applications and models are being deployed by some of the major tech companies in the world like Amazon, Apple, Facebook, and IBM. These companies constantly evolve their AI integration pipeline based on the evolving tech landscape. AI’s most important and gradually advancing branch is deep learning since the importance of convolutional neural networks has become quite evident to business leaders.

The growing demand for deep neural networks and deep convolutional neural networks has forced researchers and scientists to advance their prospects. But unfortunately, after several rapid advancements, convolutional deep neural networks or DCNNs still do not possess the same accuracy as humans do, and since AI is literally supposed to automate and perform tasks for humans, AI neural networks need accuracy and efficiency to imitate human intelligence. According to recent reports, DCNNs do not envision objects the way humans do and this could prove to be quite dangerous for the AI applications that are already being deployed in projects.

 

Deep Convolutional Neural Networks have Failed to Attain Sensitivity like Humans

In a collaborative study conducted by Elder, from York Research Chair in Human and Computer Vision and the Co-Director of York’s Centre for AI and Society, and Assistant Psychology professor Nicholas Baker from Loyola College in Chicago explores how human brains and DCNNs react to ‘Frankensteins’, a novel visual stimuli. Frankensteins are basically simple objects that have been taken apart and put back together, in the wrong way. Generally, when presented with a Frankenstein object, humans get confused, whereas, DCNNs do not reveal any insensitivity to these configural object properties.

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The researchers claimed that the streamlining of these AI models has failed under certain critical conditions and clearly demonstrate that AI development should focus more on tasks beyond object recognition. Apparently, these models use “shortcuts” while solving complex recognition tasks. Sometimes these shortcuts work, based on several cases, but unfortunately, these might become quite dangerous when it comes to real-world AI applications that the industry and government are currently using.

 

Bottom Line

Based on the predicaments released by researchers, modifications to the training and architecture of AI models can make these neural network projects act more as the human brain would usually do. They speculate that to accurately match human configural sensitivity, all networks should be trained to solve a broader range of cutting-edge tasks which goes beyond object recognition. In a nutshell, these are the basic shortcomings that AI researchers should work on overcoming. AI is not just a technology that can be used to automate complex human tasks, it was innovated for human intelligence, it might sound dangerous, but scientists should now focus on meeting complex challenges to successfully attain these goals.

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AI Is Not Just Your Best Friend But Is A Mirror To Your Soul

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AI Is Not Just Your Best Friend But Is A Mirror To Your Soul

Psychologists say that the growing involvement of AI and the adjoining digital technologies has stunted the mental growth of today’s youth. Young people, who were earlier connected with each other socially and physically are now only connected digitally, indicating high reports of loneliness. The depression rate is higher among teenagers and millennials who spend a massive amount of working towards building a career and only focus on digital interaction. But the actual debate is that since AI is the problem, AI is also the solution.

The emergence of AI friends or AI companions has truly changed the dynamics of friendship and social interaction. But these AI friend applications are not just your friends, but are a mirror to your soul. Users get permission to customize the AI avatar to whoever and however, they like. AI companions reassure users by asking questions about how they are as if they are really interested and always try to give an answer that fits into the context of the conversation.

We can take the Replica AI application, for example. It’s a personalized chatbot that learns to replicate the text patterns and personality of the user who created it, almost like a best friend, who is always on point. Replika provides investors with the ability to choose personality traits, and interests, and change the nature of the relationship like friend, girlfriend, mother, sister, and mentor. Users can also give a realistic-seeming voice call to their Replica buddy. Well, the whole concept of Replica truly reflects that AI friends are just proper mirrors to what the soul actually wants, with only minor room for error.

The post AI is Not Just Your Best Friend but is a Mirror to Your Soul appeared first on Analytics Insight.

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