#PhD in Digital Image Processing

[please-do-your-research]

Nine-Tailed Fox on Pleather Jacket in acrylic.

So when my Uni fucked over my PHD and I had to drop out, I decided I needed something to do while I searched for work. I had fallen in love with a kitsune image I found on pinterest (I did find the original creator and one day I will take professional photos and tag them) and decided that I would attempt to paint it on a pleather jacket I had lying around (in hindsight, maybe the $20 pleather jacket with cloth arms was not the best jacket to do such good work on).

I had never worked with acrylics before, previously only working with watercolours (which operate completley differently) or digital. In order to combat my inexperience, I bought some pleather from the fabric store, pinned it to some cardboard and set out to learn how to use acrylics on fabric. It took me several attempts to get the colours right (and several trips to the art store) and to learn how to properly layer and do washes with acrylics, before I ended up with the last image (which I gave to my sister and it now sits on a pinboard above her work desk).

Now you can go and buy proper leather paints, or actual high end (and expensive) fabric paints, but it turns out as long as you place a base layer of a textile print medium (the paints aren't thick enough to paint directly onto fabric) and mix each paint to a 2:1 paint to fabric medium (allows the paint to flex and be waterproof), it will work just as well. I've included process shots of how I went about it. What surprised me the most was the ability to 'paint over' sections and 'fix' parts I thought I did wrong, something you cannot do with watercolours.

Took me about 70 hours of slow work over several weeks. I've had several people offer to buy the jacket from me but I'm not going to sell it. At minimum income x hours spent on it, it would be a $1500AUD jacket, and no one is going to pay that much.

[ourstaturestouchtheskies]

how do you find or decide what piece of art to use for an edit? what are your sources for finding artworks to use for your edits?

hello my dear!

what a lovely question! my answer is incredibly long, so I apologize in advance for that, but I tried to make it as organized as possible. I'm also going to put it under a cut, since I rambled on for quite a while 😅 but this was such a rich question - so thank you again!! ☺️☺️

if you have other questions lingering after this, please feel free to reach out again! 🥰🥰

how do I decide which artwork to use for an edit?

for the most part, when deciding what artwork to use, I look for some kind of visual or thematic resonance with the lyrics I plan to use

for example, in this edit, I used the lyrics "I don't like that falling feels like flying til the bone crush" with lament for icarus by herbert james draper. there were a number of parallels I wanted to draw here:

visual parallels: those lyrics come from "gold rush" by taylor swift, and the painting itself is suffused in gold tones. I also used a golden glow on some of the words to emphasize this connection

thematic parallels: icarus is famously known for his fall from the sky, and the lyrics I chose literally discuss falling, so that was another resonance I wanted to pull out

random parallels that perhaps exist only in my mind: I wanted to emphasize the ending of a story with both the lyrics and the painting. in the painting, we see icarus after he has fallen, but for those familiar with the myth, his prior flight and fall are implied. the lyrics discuss the metaphorical joy of flight until it turns into a freefall, but what we are actually seeing here is the "bone crush." in this way, I liked that we're looking at the end of a story that in some ways tells the whole story. the lyrics and art both imply the existence of a previous moment of rapturous flight which turned into a tragic fall, even though they only actually show the aftermath of both. idk if that makes any sense so just ignore this one if this is absolutely incompressible 😅

basically, these are the kinds of resonances I like to seek out. sometimes the lyrics come first and I look for a painting that fits well with them, and sometimes it's the other way around. other times I see an artwork and immediately lyrics will pop into my head, or vice versa, where I'll hear lyrics and instantly think of a painting that would fit them so well

not all of my edits have every level of parallels, but I do like to make sure that they at least have some sort of thematic resonance that ties them together!

I hope that explains my process at least a little! ☺️☺️

where do I find artworks for my edits?

there are four big resources/approaches that I use, so I'll go through each one here ☺️

general art history knowledge: since I'm doing an art history phd, I just happen to have a lot of exposure to a lot of different kinds of art. between the hours I spent in class, doing readings, and doing my own research, I just end up absorbing a lot of potential artists and artworks to use. I actually have a page in my notes app devoted to things I see that I may want to use for edits in the future 😅. however, I completely understand that this is not an experience that a lot of people have. but I am more than happy to offer myself as a resource!! if you ever have a question or a vision in mind but don't know where to start looking for art, feel free to reach out and ask! I am by no means in expert in every facet of art history, but I would be absolutely delighted to use what knowledge I do have to help you in any way I can! 🥰🥰

image collections: there are a number of fantastic digital resources available for browsing historical art! museum websites and their digital collections are always a great place to start. many libraries also have extensive digitized collections which often include prints, drawings, photos, and illustrations, even if they don't have paintings or other larger artworks. a couple that I've used in the past are the library of congress and the bibliotheque nationale de france, but there are so many more out there. if you're affiliated with a university, you may have access to resources like artstor, which has a huge repository of images. depending on the databases to which your local library subscribes (which are often a lot!! libraries are so cool and I highly recommend checking out the resources they have!!), you may have access to a number of other databases like artstor. wikimedia commons is also a fantastic resource, since they have categories you can browse like "women with skulls in art" or "red textiles in portrait paintings." obviously not every artwork that fits those parameters are included, but the amount of images they have is incredible. my one caution here is that the search function doesn't allow for a lot of specificity unless you already know the name of a category you're looking for. finally, google arts & culture/google art project tends to have really high quality images of artworks, but is also not the easiest to search unless you already know the name of an artist or artwork that you're looking for. whew okay that's a lot, but please let me know if I can answer any more specific questions about any of these amazing resources!

art accounts: I truly discover so much fantastic art by following other accounts that post art historical content! I follow a number both on here and on instagram, and it's always amazing to see what other people discover 🥰. some are more specific, like posting art just from a specific era/period, or curating different color themes, while others just post anything that they find compelling. I end up finding so many artworks this way, and it's also a fantastic way to connect with other people who like art historical stuff!

following rabbit holes: this is more of an approach than a specific resource, but I highly encourage everyone to explore things they like!! if you see an artwork that really resonates with you, look up the artist and see what other kind of work they've done. find out if they are identified with a particular period or movement and then look up other artists from that movement. see if you like any of the art produced by those artists and then keep going! I have found so much incredible art just by being curious about a single artwork, and it's also a great way to expand your art historical knowledge in general ☺️

yikes okay now that I've written you a whole novel, I hope that at least some of this info was helpful!!

thank you again for the wonderful question! (and thank you so much for reading this all if you got this far! 🥰)

as I said above, I would be genuinely delighted to help with anything that I can! the reason that I want to be a professor is to let people get excited about art, so anything I can do to facilitate that is pretty much my dream 🥰

thank you again dearest anon and I hope you have a lovely, art-filled day!! 💖💕💖💕

[jcmarchi]

Breakthrough to Circular and Emission-Free Building - Technology Org

New Post has been published on https://thedigitalinsider.com/breakthrough-to-circular-and-emission-free-building-technology-org/

Breakthrough to Circular and Emission-Free Building - Technology Org

The building industry faces enormous challenges. By 2050, the built environment must not only be emission-free, but also circular.

Within the NWA programme titled ‘Transition to a circular and emission-free building industry’, UT is contributing to research to facilitate the transition required to meet these challenges. UT researcher Marc van den Berg (Faculty of Engineering Technology) and colleagues are focusing on the digital aspects of supporting material reuse and recycling processes as part of this research.

Building – illustrative photo. Image credit: Pixabay (Free Pixabay license)

Renovation projects are complex challenges characterised by intensive decision-making and organisational activities. Such projects connect a variety of otherwise fragmented disciplines, including designers, builders and demolition companies.

Crucial for fostering more circular renovation practices with lower emissions is the availability of information on reusable materials and design strategies which factor in the preservation of existing value.

Collaborative, Digitised and Integral Processes to Achieve Circular and Emission-Free Renovation (PACER)

The PACER (Collaborative, Digitised and Integral Processes to Achieve Circular and Emission-Free Renovation) project, in which UT is represented, aims to provide collaborative, digitised, integral processes, tools, and legal and economic frameworks to achieve circular and emission-free renovation practices.

Dutch Research Agenda (NWA)

This programme of the Dutch Research Agenda (NWA) focuses on existing buildings and invites interdisciplinary consortia to investigate how buildings can be renovated in a circular and emission-free manner by studying a concrete case at the street or neighbourhood level. Societal and technical perspectives of circular and emission-free construction are jointly included.

Transition of the construction sector

The aim of the thematic NWA programme titled ‘Transition to a circular and emission-free building industry’ is to achieve breakthroughs and develop action perspectives that contribute to the transition of the building industry, primarily in relation to renovation projects. The NWA programme is organised in association with the Ministry of the Interior and Kingdom Relations, NWO and the Taskforce for Applied Research SIA.

Within the NWA programme, two broad multidisciplinary consortia will spend the next five years carrying out research to advance the transition to circular and emission-free building, with significant involvement of professional experts in the sector. The total funding awarded under the programme is approximately €2,865,000.

Read also the press release accompanying Marc van den Berg’s PhD research titled: ‘UT provides tools for circular demolition and design of buildings (utwente.nl)’

Source: University of Twente

You can offer your link to a page which is relevant to the topic of this post.

[sunaleisocial]

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

New Post has been published on https://sunalei.org/news/have-a-damaged-painting-restore-it-in-just-hours-with-an-ai-generated-mask/

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

Art restoration takes steady hands and a discerning eye. For centuries, conservators have restored paintings by identifying areas needing repair, then mixing an exact shade to fill in one area at a time. Often, a painting can have thousands of tiny regions requiring individual attention. Restoring a single painting can take anywhere from a few weeks to over a decade.

In recent years, digital restoration tools have opened a route to creating virtual representations of original, restored works. These tools apply techniques of computer vision, image recognition, and color matching, to generate a “digitally restored” version of a painting relatively quickly.

Still, there has been no way to translate digital restorations directly onto an original work, until now. In a paper appearing today in the journal Nature, Alex Kachkine, a mechanical engineering graduate student at MIT, presents a new method he’s developed to physically apply a digital restoration directly onto an original painting.

The restoration is printed on a very thin polymer film, in the form of a mask that can be aligned and adhered to an original painting. It can also be easily removed. Kachkine says that a digital file of the mask can be stored and referred to by future conservators, to see exactly what changes were made to restore the original painting.

“Because there’s a digital record of what mask was used, in 100 years, the next time someone is working with this, they’ll have an extremely clear understanding of what was done to the painting,” Kachkine says. “And that’s never really been possible in conservation before.”

As a demonstration, he applied the method to a highly damaged 15th century oil painting. The method automatically identified 5,612 separate regions in need of repair, and filled in these regions using 57,314 different colors. The entire process, from start to finish, took 3.5 hours, which he estimates is about 66 times faster than traditional restoration methods.

Kachkine acknowledges that, as with any restoration project, there are ethical issues to consider, in terms of whether a restored version is an appropriate representation of an artist’s original style and intent. Any application of his new method, he says, should be done in consultation with conservators with knowledge of a painting’s history and origins.

“There is a lot of damaged art in storage that might never be seen,” Kachkine says. “Hopefully with this new method, there’s a chance we’ll see more art, which I would be delighted by.”

Digital connections

The new restoration process started as a side project. In 2021, as Kachkine made his way to MIT to start his PhD program in mechanical engineering, he drove up the East Coast and made a point to visit as many art galleries as he could along the way.

“I’ve been into art for a very long time now, since I was a kid,” says Kachkine, who restores paintings as a hobby, using traditional hand-painting techniques. As he toured galleries, he came to realize that the art on the walls is only a fraction of the works that galleries hold. Much of the art that galleries acquire is stored away because the works are aged or damaged, and take time to properly restore.

“Restoring a painting is fun, and it’s great to sit down and infill things and have a nice evening,” Kachkine says. “But that’s a very slow process.”

As he has learned, digital tools can significantly speed up the restoration process. Researchers have developed artificial intelligence algorithms that quickly comb through huge amounts of data. The algorithms learn connections within this visual data, which they apply to generate a digitally restored version of a particular painting, in a way that closely resembles the style of an artist or time period. However, such digital restorations are usually displayed virtually or printed as stand-alone works and cannot be directly applied to retouch original art.

“All this made me think: If we could just restore a painting digitally, and effect the results physically, that would resolve a lot of pain points and drawbacks of a conventional manual process,” Kachkine says.

“Align and restore”

For the new study, Kachkine developed a method to physically apply a digital restoration onto an original painting, using a 15th-century painting that he acquired when he first came to MIT. His new method involves first using traditional techniques to clean a painting and remove any past restoration efforts.

“This painting is almost 600 years old and has gone through conservation many times,” he says. “In this case there was a fair amount of overpainting, all of which has to be cleaned off to see what’s actually there to begin with.”

He scanned the cleaned painting, including the many regions where paint had faded or cracked. He then used existing artificial intelligence algorithms to analyze the scan and create a virtual version of what the painting likely looked like in its original state.

Then, Kachkine developed software that creates a map of regions on the original painting that require infilling, along with the exact colors needed to match the digitally restored version. This map is then translated into a physical, two-layer mask that is printed onto thin polymer-based films. The first layer is printed in color, while the second layer is printed in the exact same pattern, but in white.

“In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains. “If those two layers are misaligned, that’s very easy to see. So I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.”

Kachkine used high-fidelity commercial inkjets to print the mask’s two layers, which he carefully aligned and overlaid by hand onto the original painting and adhered with a thin spray of conventional varnish. The printed films are made from materials that can be easily dissolved with conservation-grade solutions, in case conservators need to reveal the original, damaged work. The digital file of the mask can also be saved as a detailed record of what was restored.

For the painting that Kachkine used, the method was able to fill in thousands of losses in just a few hours. “A few years ago, I was restoring this baroque Italian painting with probably the same order magnitude of losses, and it took me nine months of part-time work,” he recalls. “The more losses there are, the better this method is.”

He estimates that the new method can be orders of magnitude faster than traditional, hand-painted approaches. If the method is adopted widely, he emphasizes that conservators should be involved at every step in the process, to ensure that the final work is in keeping with an artist’s style and intent.

“It will take a lot of deliberation about the ethical challenges involved at every stage in this process to see how can this be applied in a way that’s most consistent with conservation principles,” he says. “We’re setting up a framework for developing further methods. As others work on this, we’ll end up with methods that are more precise.”

This work was supported, in part, by the John O. and Katherine A. Lutz Memorial Fund. The research was carried out, in part, through the use of equipment and facilities at MIT.Nano, with additional support from the MIT Microsystems Technology Laboratories, the MIT Department of Mechanical Engineering, and the MIT Libraries.

[callofdutymobileindia]

Boston Institute of Analytics: A Top Destination for Artificial Intelligence Courses in Dubai

In today’s rapidly evolving technological landscape, Artificial Intelligence (AI) is no longer just a buzzword — it's a necessity. From smart city infrastructure and healthcare diagnostics to self-driving vehicles and predictive analytics, AI is transforming every industry. And as AI adoption skyrockets in the UAE and globally, the demand for professionals skilled in AI and Machine Learning is growing faster than ever.

Dubai, a global leader in innovation and digital transformation, is quickly becoming one of the most sought-after destinations for tech education. Among the top institutions offering AI training, the Boston Institute of Analytics (BIA) stands out as a premier choice for students and professionals seeking an Artificial Intelligence course in Dubai.

In this article, we’ll explore why BIA is considered one of the top destinations for AI education in Dubai, what makes their courses unique, and how enrolling at BIA can accelerate your career in artificial intelligence.

Why Choose an Artificial Intelligence Course in Dubai?

Before diving into why the Boston Institute of Analytics is a top choice, let’s understand why Dubai is the perfect city to study AI:

Global Tech Hub

Dubai is home to Dubai Future Foundation, Smart Dubai, and many government-led AI initiatives. The city’s focus on becoming a leader in AI and emerging tech has created a thriving ecosystem of innovation.

Career Opportunities

The UAE government’s National Strategy for Artificial Intelligence 2031 aims to make the UAE a global AI leader. This means a massive increase in job opportunities for AI professionals in sectors like finance, healthcare, logistics, aviation, and energy.

International Environment

With professionals and students from all over the world, studying in Dubai offers a multicultural learning environment ideal for global networking.

Why Boston Institute of Analytics?

The Boston Institute of Analytics (BIA) is a globally recognized education provider with a mission to empower the next generation of AI and data science professionals. With training centers across the world and strong industry partnerships, BIA delivers future-focused programs that blend academic depth with practical application.

Here’s what makes BIA one of the top destinations for Artificial Intelligence courses in Dubai:

1. Industry-Aligned Curriculum

BIA’s Artificial Intelligence course is meticulously designed by experts from top companies like Google, IBM, Amazon, and McKinsey. The curriculum is regularly updated to reflect the latest industry trends and real-world applications.

Core Topics Covered:

Python for AI

Machine Learning Algorithms

Deep Learning with TensorFlow and Keras

Computer Vision

Natural Language Processing (NLP)

Model Deployment & MLOps

AI Ethics & Bias Mitigation

Whether you're a beginner or looking to upgrade your skills, BIA’s modular learning approach ensures you gain both foundational knowledge and advanced expertise.

2. Hands-On Learning with Real-World Projects

BIA’s AI course emphasizes practical experience, not just theory. Students work on live projects, case studies, and industry datasets to build models, solve problems, and deploy solutions.

Examples of Real-World Projects:

AI-powered fraud detection for banks

NLP-based chatbot development

Image classification for healthcare diagnostics

Predictive analytics for retail and e-commerce

This hands-on exposure ensures students graduate with a portfolio that impresses employers.

3. Expert Faculty and Mentors

At BIA, you're not just learning from academics — you're learning from AI practitioners, data scientists, and industry leaders. Many instructors hold PhDs or have worked with global organizations, bringing deep insights and mentorship to the classroom.

Live sessions, workshops, and 1:1 mentoring opportunities allow students to receive personalized guidance and career advice.

4. Global Certification

Upon successful completion of the course, students receive an internationally recognized certificate from the Boston Institute of Analytics. This certification validates your AI proficiency and is respected by employers across the globe, giving you a competitive edge in the job market.

5. Flexible Learning Options in Dubai

Whether you're a full-time student or a working professional, BIA offers flexible formats to accommodate your schedule:

Weekend Batches for working professionals

Weekday Sessions for full-time students

Hybrid Learning (online + classroom) for maximum convenience

Located in central Dubai, BIA’s campus is accessible, modern, and designed to promote collaboration and innovation.

6. Strong Placement Support

BIA goes beyond education. Their career support services ensure that every learner is job-ready. Services include:

Resume and LinkedIn optimization

Mock interviews and technical assessments

Internship assistance

Job referrals and placement drives

Networking opportunities with hiring managers and alumni

Graduates have been placed in top companies like IBM, Deloitte, PwC, Emirates, Etisalat, and tech startups across the UAE and beyond.

7. Affordable Investment in a Future-Proof Career

Compared to courses in the UK, US, or even central Dubai, BIA offers high-quality AI education at a much more accessible price. Payment plans and EMI options make it even more manageable for students and working professionals.

Given the earning potential of AI professionals, this is a high-ROI investment in your future.

Who Should Enroll?

BIA’s AI course in Dubai is ideal for:

Fresh Graduates looking to enter the AI/ML field

Software Developers and Engineers upskilling into AI roles

Business Analysts or Data Analysts wanting to transition into data science

Managers and Entrepreneurs aiming to build AI-enabled products

Career Switchers from non-tech backgrounds (BIA offers foundational modules too!)

Final Thoughts

If you're serious about building a successful career in AI, choosing the right institute is key. The Boston Institute of Analytics in Dubai offers an ideal blend of:

Cutting-edge curriculum

Hands-on training

Global certification

Expert mentorship

Job-focused outcomes

Whether you're starting from scratch or looking to take your AI expertise to the next level, BIA equips you with the skills, tools, and confidence to succeed in one of the most in-demand tech careers of the future.

[youngscientist96]

Microwave Electronics Laboratory: Future communication & remote sensing systems

Wireless communication and remote sensing play an important role in the modern society and almost everyone is using such systems every day. Typical examples are mobile phones, wireless internet connectivity, radio and TV broadcasting, and wireless networks at home or public areas.

Thanks to the rapid development in the semiconductor technology, driven by the computer industry, such microwave systems can be produced in large quantity at a low cost per unit, making it affordable for most people all over the world.

At the Microwave Electronics Laboratory, we focus on application driven research on high-speed electronic components, circuits and systems for future communication and remote sensing applications. The research spans frequencies from below 1 GHz to 500 GHz. Our main research areas are within wireless high speed digital communication, sensors such as radar systems and radiometers, and microwave heating. We demonstrate innovative microwave components and circuits in our own fabrication lab, the Nanofabrication Laboratory at MC2, or at external cooperation partners/foundries. We characterize our components and circuits in our measurement laboratory.

Most of our work is project oriented together with other universities, companies and institutes, where the Microwave Electronic Laboratory is responsible for hardware research and development. In addition, we contribute to an extensive educational programme including Master of Science and PhD level.

Due to the increasing data traffic in the mobile communication infrastructure, driven by consumer applications such as smartphones and wireless connectivity, new innovative solutions for the backhaul communication are needed.

We design integrated circuits based on silicon, and III-V technologies, for future system applications aiming at high data rate wireless and fiber communication, and remote sensing. Our main projects are circuit design and fabrication for high data rate communication aiming at bitrates well above 10 Gbps utilizing unused spectrum at 70-86, 120, 145 and 220 GHz, and THz imaging systems utilizing highly integrated multipixel sensors. By using the most advanced semiconductor technologies available today we can practically demonstrate circuits with unique functionality aiming at new system applications. High efficiency microwave power amplifiers

Microwave power amplifiers dominate the mobile network overall energy consumption. Our research is therefore focused on different techniques for improving the electrical efficiency of microwave high power amplifiers and transmitters for wireless infrastructure applications. A cross-disciplinary approach is used where fundamental research on high efficiency switched mode power amplifier circuit design is combined with research on novel transmitter architectures incorporating advanced digital signal processing methods and using unique widebandgap components developed at MC2.

This research is performed in close collaboration with researchers at the Department of Electrical Engineering. VLSI Systems

Electronics based on integrated circuits (ICs), also known in popular science as microchips or semiconductors, is an indispensable technology which pervades our society. ICs of today can contain several hundred billion transistors and while this level of integration offers unprecedented levels of (highly desired) system functionality, the integration of that many devices makes the implementation work of the VLSI designers very challenging. Stringent performance targets and strict budgets on power dissipation and development time are examples of different conflicting design goals that VLSI designers often struggle to reconcile.

The VLSI Systems group performs research on circuits, architectures and design approaches of IC-based electronic systems with the goal of enabling efficient implementation of communication and computing systems. Our activities mainly target power-efficient digital and mixed-signal CMOS circuits and we use CMOS integrated circuits and advanced FPGA systems to demonstrate our research.

#Linguist, #Criminologist, #ForensicScientist, #Archaeologist, #MuseumCurator, #Archivist, #LibraryScientist, #InformationScientist, #KnowledgeManager, #PatentExaminer, #InnovationManager#ForestryAward, #WildlifeConservationAward, #UrbanPlanningAward, #TransportationAward, #ArchitectureAward, #DesignAward

International Young Scientist Awards Website link: youngscientistawards.com NominationLink:https://youngscientistawards.com/awardnomination/ecategory=Awards&rcategoryrdee Contact Us: support@youngscientistawards.com ___________________________________

Social Media:

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[argroupofedu5]

Kalka Dental College & Hospital: A Premier Institution for Dental Education

Kalka Dental College & Hospital is one of the leading dental institutions in India, offering high-quality education and training in dentistry. Located in Meerut, Uttar Pradesh, the college is known for its state-of-the-art infrastructure, experienced faculty, and excellent clinical training facilities. Affiliated with Chaudhary Charan Singh University (CCSU), Meerut, and approved by the Dental Council of India (DCI), the college provides aspiring dentists with the best academic and practical exposure. 

Courses Offered at Kalka Dental College

The institution offers both undergraduate and postgraduate programs in dentistry: 

1. Bachelor of Dental Surgery (BDS)

Duration: 5 years (including a 1-year mandatory internship)

Intake Capacity: 100 students per year

The BDS program covers essential subjects like Oral Pathology, Prosthodontics, Periodontology, Oral Surgery, and more.

2. Master of Dental Surgery (MDS)

Duration: 3 years

Specializations offered:

Oral and Maxillofacial Surgery

Conservative Dentistry and Endodontics

Orthodontics and Dentofacial Orthopedics

Prosthodontics and Crown & Bridge

Periodontology

Pediatric and Preventive Dentistry

Oral Medicine and Radiology

Why Choose Kalka Dental College?

Students prefer Kalka Dental College for multiple reasons:

Comprehensive Curriculum: Follows DCI guidelines with practical training.

Modern Infrastructure: Well-equipped dental labs, smart classrooms, and research facilities.

Highly Qualified Faculty: Experienced professionals providing in-depth knowledge.

Advanced Dental Hospital: Hands-on training with real patients under expert supervision.

Affordable Fee Structure: Compared to other private dental colleges, the fees are reasonable.

Admission Process

Admission to BDS and MDS programs is based on:

NEET-UG (for BDS) and NEET-PG (for MDS) scores.

Eligibility Criteria:

For BDS: 10+2 with Physics, Chemistry, and Biology with at least 50% marks (40% for reserved categories).

For MDS: BDS degree from a recognized institution with DCI registration.

Application Process:

Qualify NEET-UG/NEET-PG.

Register for UPDGME counseling.

Choose Kalka Dental College in the counseling session.

Complete document verification and fee payment.

Facilities at Kalka Dental College

The college provides world-class facilities to ensure the best learning experience:

Advanced Dental Clinics: Equipped with modern dental chairs and digital imaging.

Central Library: A vast collection of books, journals, and research papers.

Well-Equipped Laboratories: Specialized labs for different branches of dentistry.

Lecture Halls: Digital classrooms with audio-visual teaching aids.

Hostel Accommodation: Separate hostels for boys and girls with 24/7 security.

Sports and Recreation: Encouraging extracurricular activities for overall development.

Kalka Dental Hospital: Practical Exposure

The attached Kalka Dental Hospital provides real-time clinical exposure with facilities like:

General Dentistry & Specialized Clinics.

Oral and Maxillofacial Surgery Unit.

Orthodontic and Prosthodontic Treatment Centers.

Radiology Department for Dental Imaging.

Community Outreach Programs & Free Dental Camps.

Fee Structure

The approximate fees for the courses at Kalka Dental College:

BDS: INR 2.5-3 lakhs per year.

MDS: INR 5-10 lakhs per year (varies by specialization).

Career Opportunities After BDS/MDS

Graduates from Kalka Dental College have excellent career prospects:

Government and Private Dental Clinics.

Higher Studies (MDS, PhD, Fellowship Programs).

Dental Surgeon in Hospitals.

Academician or Researcher in Dental Institutes.

Own Dental Practice & Entrepreneurship.

Conclusion

Kalka Dental College & Hospital is one of the top choices for students seeking a career in dentistry. With excellent academic programs, practical training, and modern infrastructure, it ensures that students are well-prepared for a bright future in the dental profession. If you aspire to become a skilled dentist, Kalka Dental College is an excellent institution to pursue your dreams.

[anniehaeun]

CTS A Week 10- Compulsory Question 01

I used the metaphor of a growing tree to represent critical thinking.The various sessions we’ve completed so far were represented as blossoming leaves, as we believe CTS provides us with a solid foundation like a tree trunk, and each session gains its own life and grows like leaves on the tree. Additionally, we thought of each leaf as representing insights gained from each session, likening the entire concept to a potted plant.

Among the sessions, the one that was particularly helpful for me was Assertion and Conflict Resolution. As the title suggests, this session covered effective ways to resolve conflicts, and a video shown during class highlighted the importance of empathy in conflict resolution. The video emphasized that, to make better decisions in the future, it is essential to step back to prevent emotions from worsening the situation. By taking a moment to organize one’s thoughts and emotions, and clearly defining the situation and desired outcome, one can approach conflicts more effectively.

In this article, Dr. Helen Riess from Harvard University said, 'Empathy is a key part of emotional connection. It allows us to feel with others and understand their experiences more deeply.(Riess)' Through this, I learned that understanding not only my own situation but also others' can help me deal with conflicts more calmly. I realized that I should remember this not just in school but in my life as well.

Group work with friends in school can easily lead to conflicts. Different opinions may clash, but collaborating with team members to solve problems is a big advantage. By considering diverse perspectives, better solutions can be found, leading to outcomes superior to what one could achieve alone. Additionally, team members can point out overlooked details, allowing for quick adjustments and achieving a higher level of quality in the final result.

Among the categories, the part I would most like to improve is Documentation for digital assignment or studio projects, it's important to gather research, images, and references., and use them to develop ideas and create outcomes. However, I realized that I focused more on the final result than the process, which led me to miss out on gathering enough input. Next time, I want to focus more on this aspect and create outcomes with a stronger, more thorough process.

(330word)

Future Work Design. “WE LOVE CONFLICT: Wheel of Mindfulness.” YouTube, 20 May 2019, www.youtube.com/watch?v=t_u-7SARzRc.

Nowak, Anita, PhD. Empathy Matters in Healthcare - A Spotlight on Dr. Helen Riess. 14 Feb. 2024, www.linkedin.com/pulse/empathy-matters-healthcare-spotlight-dr-helen-riess-nowak-phd.

[brandonjohnbarnard]

Webs

I have started committing fully to the process of, while I am reading a book or into a topic, creating a web of each element that interests me via Clip Studio.

This formed, like many academic practices, as a solution to a problem. I wanted to see which ideas/people/events were linked to each other, and by making the connection, what new ideas emerged. Sort of like doing chemistry in the dark, I would grab two elements on different sides of the spider diagram, and ask the question ‘how are these connected?’.

Sometimes, there is none, or at least none that do not make me come across as someone rambling to themselves on the bus. Though, when there are, its impossible to un-see the connections.

Originally, this process was done with mostly my (digital) notes, with some multimodal elements such as screenshots.

What stopped me from embracing this type of learning method in the past was 2 primary concerns.

Searchability: with this type of web, there is no ���ctrl + f’ to quickly find specific words or themes, meaning that for a quick reference it does not do as well as a word document. Though, I have come to learn that this is its strength. By looking at the web, and following its connections, new ideas are continuously forming with each inspection. In a way, it is a living document.

Finite Space: since these files exist as images, there is a limit to how large they can become. This is due to: the time it takes to save an image causing potential corruptions/crashes, what file types it can be saved as becomes reduced as the file size increases, space between connections becomes too compact. Etc.

There are solutions to the finite space problem, such as using an alternative software that is built for spider diagrams, but that always tends to result in some form of freedom-restriction, e.g. dealing with its method of classing/hierarchy, not having certain mediums allowed.

Also, from an authorship standpoint, using these systems felt less me. Less personal. I want to be able to doodle, be silly, or include images of people and concepts on tangentially related without the entire system feeling off.

Then, something happened to me which had not happened before. I realised, that a lot of my works, from lots of separate university modules and projects, had two shared elements — the theme of chance, and the medium of film. As such, I decided to write a PhD proposal looking into a merging or these 2 domains.

With this, I had to write a 6000 word piece in a short time, so I did not have as much time to prep and make a new web like I normally would. So, I instead looked at all of my previous webs I had made in the past. To my surprise, I was making connections between different webs, and a new meta-web formed. This, in effect, pulled the bandage off of worrying about sticking to one shared web with everything.

...

When reading around ‘chance’, I had stumbled upon the nouveau réalisme movement. It sounded interesting, so I did something relatively new to me, and I just started a new document looking into the same topic of ‘chance’, but from a different place. Rather than writing out my ideas first, I copied and pasted multiple Wikipedia articles.

When I read about an artistic work that sounded interesting, I would look it up and paste it in for extended context. Same with locations, publications, etc. It moved more away from word connections, to a type of Dada collage of things.

...

Now, when it comes to reading a book, I do the same thing as the Wikipedia articles.

Read the work

Create Physical Note

Insert both ‘the book’ and ‘the physical note’ into digital web.

Make connections between concepts within web.

Create digital notes around the nature of the connections, as well as include other image elements where appropriate.

...

I’m sure this process will evolve further in the future, but I am having a lot of fun with it.

I hope this maybe gave you some ideas of how to manage theme connections. Let me know if you have any thoughts regarding this!

[swissforextrading]

Engineers bring efficient optical neural networks into focus

06.08.24 - EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics. As digital artificial intelligence systems grow in size and impact, so does the energy required to train and deploy them – not to mention the associated carbon emissions. Recent research suggests that if current AI server production continues at its current pace, their annual energy consumption could outstrip that of a small country by 2027. Deep neural networks, inspired by the architecture of the human brain, are especially power-hungry due to the millions or even billions of connections between multiple layers of neuron-like processors. To counteract this mushrooming energy demand, researchers have doubled down on efforts to implement optical computing systems, which have existed experimentally since the 1980s. These systems rely on photons to process data, and although light can theoretically be used to perform computations much faster and more efficiently than electrons, a key challenge has hindered optical systems’ ability to surpass the electronic state-of-the art. Our method is up to 1,000 times more power-efficient than state-of-the-art deep digital networks, making it a promising platform for realizing optical neural networks. Demetri Psaltis, Optics Laboratory “In order to classify data in a neural network, each node, or ‘neuron’, must make a ‘decision’ to fire or not based on weighted input data. This decision leads to what is known as a nonlinear transformation of the data, meaning the output is not directly proportional to the input,” says Christophe Moser, head of the Laboratory of Applied Photonics Devices in EPFL’s School of Engineering. Postdoctoral researcher Niyazi Ulas Dinc and PhD student Mustafa Yildrim © Alain Herzog Moser explains that while digital neural networks can easily perform nonlinear transformations with transistors, in optical systems, this step requires very powerful lasers. Moser worked with students Mustafa Yildirim, Niyazi Ulas Dinc, and Ilker Oguz, as well as Optics Laboratory head Demetri Psaltis, to develop an energy-efficient method for performing these nonlinear computations optically. Their new approach involves encoding data, like the pixels of an image, in the spatial modulation of a low-power laser beam. The beam reflects back on itself several times, leading to a nonlinear multiplication of the pixels. "Our image classification experiments on three different datasets showed that our method is scalable, and up to 1,000 times more power-efficient than state-of-the-art deep digital networks, making it a promising platform for realizing optical neural networks,” says Psaltis. The research, supported by a Sinergia grant from the Swiss National Science Foundation, has recently been published in Nature Photonics. A simple structural solution In nature, photons do not directly interact with each other the way charged electrons do. To achieve nonlinear transformations in optical systems, scientists have therefore had to ‘force’ photons to interact indirectly, for example by using a light intense enough to modify the optical properties of the glass or other material it passes through. The system was tested in a series of image classification experiments © Alain Herzog/Jih-Liang Hsieh The scientists worked around this need for a high-power laser with an elegantly simple solution: they encoded the pixels of an image spatially on the surface of a low-power laser beam. By performing this encoding twice, via adjustment of the trajectory of the beam in the encoder, the pixels are multiplied by themselves, i.e., squared. Since squaring is a non-linear transformation, this structural modification achieves the… http://actu.epfl.ch/news/engineers-bring-efficient-optical-neural-network-2 (Source of the original content)

[agrinextcon]

AgriNext Conference 2024: Announcing Keynote Speaker Mr. Dushyant K Tyagi, CEO of Farmgate

We are thrilled to announce that Mr. Dushyant K Tyagi, the esteemed CEO of Farmgate, will be a keynote speaker at the highly anticipated AgriNext Awards & Conference, taking place in Dubai on November 13-14, 2024. Mr. Tyagi's vast expertise and transformative contributions to the agriculture sector make him an invaluable addition to our speaker lineup.

Mr. Dushyant Kumar Tyagi, hailing from Western UP, India, and coming from a humble farming background, has built an impressive career grounded in academic excellence and practical experience. He holds a Master's Degree in Agriculture Science specialising in Plant Breeding from GB Pant University of Agriculture and Technology. His academic journey is marked by numerous merit scholarships and significant research contributions in agriculture biotechnology, widely cited in research papers, PhD theses, and academic books. With over three decades of experience in the Food & Agri Business industry, Mr. Tyagi's career spans across the entire value chain from Agri Inputs, Post-Harvest, Marketing, Fresh Food Retail, Food Processing, Start-up Mentoring, and Technology-enabled services in various geographies and cultural settings. His leadership in spearheading the PMO project e-NAM (electronic National Agriculture Market) stands out as a transformative achievement in the agriculture sector. e-NAM, the world's largest Electronic Spot Agri Trading Platform, has facilitated over USD 38 billion in transactions and served more than 17 million farmers.

Mr. Tyagi is also the strategic partner behind India’s only farmgate Agri Trading platform eFarmarket, connecting farmers directly to buyers across the country. His professional journey includes significant roles in leading companies such as Chambal Fertilisers and Chemicals Ltd, Reliance Retail, Aditya Birla Retail, and Mother Dairy Fruit & Vegetables Pvt Ltd. Currently, he is engaged in establishing Farmgate Technologies Pvt Ltd, a subsidiary of Fertis India Pvt Ltd, and plays a pivotal role in nurturing AgriTech startups focusing on AI Image Analytics and UAV technology. In addition to his professional endeavours, Mr. Tyagi is the National Convenor of the ‘India Digital Agriculture Council’ of the Indian Council of Food and Agriculture (ICFA), Co-chairs the National Council for Agriculture at Assocham, and is a member of the PHD Chamber of Commerce and Industry. He has been honoured with numerous awards, including the Gems of Digital India 2018 and the Platinum Award under Digital India Awards 2022 for ‘e-NAM’. His thought leadership is regularly featured in prestigious publications such as India Today, Forbes India, and Fortune India. The AgriNext Awards & Conference is a premier event dedicated to the advancement and innovation in the agriculture sector. It brings together industry leaders, policymakers, innovators, and stakeholders to discuss and explore the future of agriculture. The conference aims to address the critical challenges facing the industry and to highlight the latest technological advancements and best practices. Mr. Tyagi's session at the AgriNext Conference will focus on leveraging technology to bridge information gaps, enhance transparency, and drive value creation in Indian agriculture. His insights and experiences will provide attendees with valuable knowledge and inspiration, particularly those aspiring to drive innovation in the agriculture sector.

[podiumproject]

Podium: A Reflective Commentary

Rosannagh Maddock, 2024

Abstract: ‘Podium’ is a series of collages made with the goal of enacting graphic fashion theory, working in a feedback loop with fashion practice, at the coalface of cultural production. These triptychs are intended to enmesh with the playful mundane, like a mirror or a map, producing an alternate perspective on sportswear and competitive activity in the embodied actions of the user, becoming a tool that the user can take with them as they make fashionable choices about how to be.

Background: Fashion, sports and technology intersect in many ways and varied strengths lie in different disciplinary responses. This project was developed over three years as a practice-based PhD in collections management, with a remit to develop opportunities for public engagement with under-studied fashion and textile collections and to expand sportswear history’s interdisciplinary potential.

Aims: The subject aligns with cultural trends concerned with the role that technology, fashion, speed, and competition (both formalised and spontaneous) play in contemporary society. By looking at the ways embodied time and speed have been networked together in competition, the project aims to expand conceptions of experimental fashion theory and design.

Findings: A triptych of triptychs, ‘Podium’ blends ephemeral digital collections and historic sporting, film and fashion imagery in a collage process that highlights the vast potential of fashion’s popular vernacular of the ‘moodboard’ in forward-thinking research. Each panel explores a facet of success, spanning the highs and lows of achieving a celebratory podium. The result is akin to a bar graph.

Discussion: Developing moodboards in complexity and utilising them in research can elaborate their potential as fields of play. Operating through automatic practices of everyday life, fashion collage is an active zone for experimentation.

Conclusion: Ultimately, ‘Podium’ posits experimental fashion with graphic outputs as an exploratory practice, with the ability to anticipate cultural shifts through its dynamic, layered forms.

Summary:

Speed and fashionability in sports culture are networked together and under-researched

‘Podium’ provides a creative, visuals-rich research outcome in the form of nine collages

Visual/verbal collages can be a viable rapid-response format in cross-disciplinary work

Keywords: collage; fashion; sports; sportswear; technology; history; design; generative; process.

Disclaimer

If the purpose of a moodboard, as a distinct form of collage, is to produce ideas (or, more accurately, inspiration, or vibes), the ideas produced may be assessed and utilised at will. Quantitative or qualitative assessments of these ideas may be applied in different ways, coming to different conclusions, but ultimately some of these ideas may be bad ideas. The author accepts no liability for the application of said bad ideas, or any other downsides of emergent networked phenomena that arise from the work.

As the author understands fashion to be ironic in form, it is hoped that the formal and tonal experimentation in the work is understood not as parody, but as a pastiche, meant with all the affection that the term shares with collage. Certain images, concepts and forms are brought together and in the sincere incorporation of fashionable imitation, a funhouse mirroring, with the lightness and breezy remixing that such ideas entail, new possibilities are iterated.

Description

This project is the culmination of three years of in-depth interdisciplinary research. It began with an identified need to develop the field of sportswear history through the medium of visual archival research. Funding from Techne, the doctoral training partnership, was awarded in order to produce a body of work, developed out of under-utilised object- and image-based collections in museums, with a particular focus on textiles. A range of methodologies and processes were utilised over the three-year period, with graphic artworks, essays, discographies and poetry forming a portfolio of creative markers. The need for a concluding summative statement was established and ‘Podium’ is the result. A triptych of triptychs, it blends ephemeral digital collections, historic sporting imagery, film stills and fashion imagery in a collage process that highlights the vast potential of fashion’s popular vernacular of the ‘moodboard’ to contribute to complex, forward-thinking research.

The images that constitute the raw data have been gathered through an extensive trawl of varied collections: from digitised collections held by major museums, uncatalogued archives, national library collections and stock photograph databases, to personal ephemera collections, deep-dive google searches, and movie screen grabs. Each panel is A2 in size and explores a facet of success, spanning the highs and lows of achieving the celebratory podium of many classic sports. Each panel is stacked, thematically and/or physically, vertically, one atop the other, to form a roughly six-foot block of three images. They can be presented staggered in the form of a podium, with silver, lower, on the right side of gold, and bronze, on the ‘first step’ on its left. The result is akin to a bar graph, and its statistical, data-heavy effect is an intrinsic result of rigorous processes of selection.

By taking imagery and information that would normally be consumed in linear fashion, in readily comprehensible context, and piling it upon itself, the hope is to achieve a sense of the vitality of embodied human competitive endeavour - its density and messiness. Each ‘medal’ or ‘position’ of three images was sorted according to an open-ended logic: the upper panel features triumphant themes, the centre panel technical, process-based themes, and the lower panel what can be considered the ‘downside’ of each position. As such, it forms a disrupted x-y axis of sorts, a flowing grid of perspectives and data points. Each medal is accompanied by a caption, gleaned from the written record, which highlights a story or set of data that offers a textual approach to this visually-rich collage-based research outcome.

Usage

Option A: Print and cut up the pages as you deem appropriate, shuffle and distribute the pieces while on a run, as if you were a school boy on a paperchase.

Option B: Turn a print-out into confetti. Trespass an academic seminar and decorate the room whenever someone stops talking.

Option C: Lay a panel on the floor, in the countryside. Ask your local fairy gang (nicely) to play a game of Twister, using dungeons and dragons’ dice and the colours of the sunset/sunrise as prompts. Make the winner your king.

Option D: Make it into a hat. If you do not have a head, don’t worry. Photoshop the hat onto pictures of celebrities instead.

Option E: Read each panel very literally as containing data points on a graph. The centre is the core of the axis and negative and positive data are above and below. What conclusions can you draw from the data-set? Does the study have any flaws?

Option F: Find Nietzsche.

Option G: Choose a character from among the panels. An athlete, model, or animal. They can change appearance throughout. Zoom in at various points, travelling randomly throughout the panels, back and forth. Tell a story about what is happening the character, based on what is happening around them. For example, in the gold panel, Lisa Simpson threatens to kill Homer Simpson. Homer then wakes up in the real world, shocked to be among the icons of Mount Rushmore. His head is then turned into the FIFA World Cup trophy. What happens to Homer next? Will Lisa pay for her crime?

Option H: Save a copy of your preferred panel to your hard drive. Email it as an attachment instead of calling in sick to work. They’ll learn what you mean eventually.

Option I: Invent another way through. Devise new rules.

more: rosannaghmaddock.co.uk/podium

[sunaleisocial]

Photonic processor could streamline 6G wireless signal processing

New Post has been published on https://sunalei.org/news/photonic-processor-could-streamline-6g-wireless-signal-processing/

Photonic processor could streamline 6G wireless signal processing

As more connected devices demand an increasing amount of bandwidth for tasks like teleworking and cloud computing, it will become extremely challenging to manage the finite amount of wireless spectrum available for all users to share.

Engineers are employing artificial intelligence to dynamically manage the available wireless spectrum, with an eye toward reducing latency and boosting performance. But most AI methods for classifying and processing wireless signals are power-hungry and can’t operate in real-time.

Now, MIT researchers have developed a novel AI hardware accelerator that is specifically designed for wireless signal processing. Their optical processor performs machine-learning computations at the speed of light, classifying wireless signals in a matter of nanoseconds.

The photonic chip is about 100 times faster than the best digital alternative, while converging to about 95 percent accuracy in signal classification. The new hardware accelerator is also scalable and flexible, so it could be used for a variety of high-performance computing applications. At the same time, it is smaller, lighter, cheaper, and more energy-efficient than digital AI hardware accelerators.

The device could be especially useful in future 6G wireless applications, such as cognitive radios that optimize data rates by adapting wireless modulation formats to the changing wireless environment.

By enabling an edge device to perform deep-learning computations in real-time, this new hardware accelerator could provide dramatic speedups in many applications beyond signal processing. For instance, it could help autonomous vehicles make split-second reactions to environmental changes or enable smart pacemakers to continuously monitor the health of a patient’s heart.

“There are many applications that would be enabled by edge devices that are capable of analyzing wireless signals. What we’ve presented in our paper could open up many possibilities for real-time and reliable AI inference. This work is the beginning of something that could be quite impactful,” says Dirk Englund, a professor in the MIT Department of Electrical Engineering and Computer Science, principal investigator in the Quantum Photonics and Artificial Intelligence Group and the Research Laboratory of Electronics (RLE), and senior author of the paper.

He is joined on the paper by lead author Ronald Davis III PhD ’24; Zaijun Chen, a former MIT postdoc who is now an assistant professor at the University of Southern California; and Ryan Hamerly, a visiting scientist at RLE and senior scientist at NTT Research. The research appears today in Science Advances.

Light-speed processing  

State-of-the-art digital AI accelerators for wireless signal processing convert the signal into an image and run it through a deep-learning model to classify it. While this approach is highly accurate, the computationally intensive nature of deep neural networks makes it infeasible for many time-sensitive applications.

Optical systems can accelerate deep neural networks by encoding and processing data using light, which is also less energy intensive than digital computing. But researchers have struggled to maximize the performance of general-purpose optical neural networks when used for signal processing, while ensuring the optical device is scalable.

By developing an optical neural network architecture specifically for signal processing, which they call a multiplicative analog frequency transform optical neural network (MAFT-ONN), the researchers tackled that problem head-on.

The MAFT-ONN addresses the problem of scalability by encoding all signal data and performing all machine-learning operations within what is known as the frequency domain — before the wireless signals are digitized.

The researchers designed their optical neural network to perform all linear and nonlinear operations in-line. Both types of operations are required for deep learning.

Thanks to this innovative design, they only need one MAFT-ONN device per layer for the entire optical neural network, as opposed to other methods that require one device for each individual computational unit, or “neuron.”

“We can fit 10,000 neurons onto a single device and compute the necessary multiplications in a single shot,” Davis says.   

The researchers accomplish this using a technique called photoelectric multiplication, which dramatically boosts efficiency. It also allows them to create an optical neural network that can be readily scaled up with additional layers without requiring extra overhead.

Results in nanoseconds

MAFT-ONN takes a wireless signal as input, processes the signal data, and passes the information along for later operations the edge device performs. For instance, by classifying a signal’s modulation, MAFT-ONN would enable a device to automatically infer the type of signal to extract the data it carries.

One of the biggest challenges the researchers faced when designing MAFT-ONN was determining how to map the machine-learning computations to the optical hardware.

“We couldn’t just take a normal machine-learning framework off the shelf and use it. We had to customize it to fit the hardware and figure out how to exploit the physics so it would perform the computations we wanted it to,” Davis says.

When they tested their architecture on signal classification in simulations, the optical neural network achieved 85 percent accuracy in a single shot, which can quickly converge to more than 99 percent accuracy using multiple measurements.  MAFT-ONN only required about 120 nanoseconds to perform entire process.

“The longer you measure, the higher accuracy you will get. Because MAFT-ONN computes inferences in nanoseconds, you don’t lose much speed to gain more accuracy,” Davis adds.

While state-of-the-art digital radio frequency devices can perform machine-learning inference in a microseconds, optics can do it in nanoseconds or even picoseconds.

Moving forward, the researchers want to employ what are known as multiplexing schemes so they could perform more computations and scale up the MAFT-ONN. They also want to extend their work into more complex deep learning architectures that could run transformer models or LLMs.

This work was funded, in part, by the U.S. Army Research Laboratory, the U.S. Air Force, MIT Lincoln Laboratory, Nippon Telegraph and Telephone, and the National Science Foundation.

[callofdutymobileindia]

Career Opportunities After Completing an Artificial Intelligence Course in Chicago

As Artificial Intelligence (AI) transforms industries globally, cities like Chicago are emerging as thriving centres for AI innovation and talent. Whether you’re a student, a working professional, or someone seeking a career switch, completing an Artificial Intelligence course in Chicago can unlock a wide range of job opportunities in 2025 and beyond.

In this blog, we explore the career paths available after completing an AI course in Chicago, why this city is an ideal location for AI education, and how enrolling in the right program can fast-track your career in tech.

Why Chicago for Artificial Intelligence?

Chicago is known for more than just architecture and deep-dish pizza—it's becoming a hub for technology, innovation, and digital transformation. From Fortune 500 companies to fast-growing startups, businesses across finance, healthcare, manufacturing, and logistics are adopting AI to optimize performance, automate operations, and enhance customer experiences.

The city’s growing investment in smart technologies and AI-focused research has made it an ideal place for AI enthusiasts to gain skills and build rewarding careers.

Top Career Paths After Completing an Artificial Intelligence Course in Chicago

Once you complete an AI course in Chicago, a wide variety of job roles become available. Here are some of the most promising:

1. Artificial Intelligence Engineer

AI Engineers design and build AI-powered systems and applications. In Chicago, industries such as healthcare and finance are hiring AI engineers to implement smart automation, fraud detection systems, and intelligent recommendation engines.

Skills Required: Machine learning, deep learning, Python, TensorFlow, neural networks Average Salary in Chicago: $125,000 – $165,000 annually

2. Data Scientist

Data Scientists use machine learning and statistical methods to derive insights from large datasets. In a data-driven city like Chicago, they're crucial to sectors like logistics, public policy, marketing, and fintech.

Skills Required: Data visualization, statistics, Python/R, SQL, model building Average Salary in Chicago: $110,000 – $150,000 annually

3. Machine Learning Engineer

Machine Learning Engineers focus on building, deploying, and maintaining scalable machine learning systems. They're in high demand in Chicago’s insurance, transportation, and e-commerce sectors.

Skills Required: Supervised/unsupervised learning, model tuning, deployment tools Average Salary in Chicago: $120,000 – $160,000 annually

4. AI Research Scientist

For those interested in academic and experimental approaches, AI Research Scientists work on cutting-edge projects in natural language processing, reinforcement learning, and more.

Skills Required: Research methodologies, PhD/Master’s-level understanding, algorithm design Average Salary in Chicago: $130,000 – $180,000 annually

5. Computer Vision Engineer

From smart city infrastructure to security and medical imaging, computer vision is transforming how machines interpret the world. Chicago's public safety and healthcare sectors are particularly active in this domain.

Skills Required: OpenCV, deep learning, object detection, image processing Average Salary in Chicago: $115,000 – $155,000 annually

6. NLP (Natural Language Processing) Specialist

With the rise of chatbots, sentiment analysis, and voice-activated assistants, NLP Specialists are in demand across Chicago’s tech startups and customer-facing enterprises.

Skills Required: spaCy, NLTK, LLMs, tokenization, sentiment analysis Average Salary in Chicago: $110,000 – $145,000 annually

7. AI Product Manager

AI Product Managers blend technical knowledge with business strategy to lead AI-based product development. In Chicago’s enterprise tech ecosystem, this role is vital for innovation teams.

Skills Required: Agile development, stakeholder management, AI fundamentals Average Salary in Chicago: $125,000 – $170,000 annually

8. AI Consultant

AI Consultants work with organizations to identify opportunities where AI can deliver value. Consulting firms in Chicago are increasingly hiring AI experts to help companies transition into intelligent enterprises.

Skills Required: AI solution design, business analysis, communication Average Salary in Chicago: $120,000 – $165,000 annually

Key Industries Hiring AI Talent in Chicago

Completing an Artificial Intelligence course in Chicago doesn’t limit you to the tech sector alone. The city’s diversified economy offers AI career prospects in a range of industries:

Healthcare & Life Sciences

Hospitals, research institutions, and health tech start-ups are using AI for diagnostics, patient care, drug discovery, and robotic surgery.

Finance & Insurance

Chicago is home to major financial institutions that utilize AI for fraud prevention, algorithmic trading, credit risk analysis, and customer service automation.

Manufacturing & Industrial Automation

The city's strong manufacturing base is embracing AI for predictive maintenance, supply chain optimization, and robotics.

Logistics & Supply Chain

As a major transportation and logistics hub, Chicago offers AI opportunities in route planning, fleet management, and warehouse automation.

Smart Cities & Public Sector

From intelligent traffic systems to surveillance analytics, AI is helping Chicago’s government bodies build a smarter, safer city.

Retail & E-Commerce

AI is revolutionizing retail by driving personalization, customer segmentation, and inventory prediction—all crucial for Chicago-based companies.

Why an AI Course in Chicago is a Smart Career Move?

Here are the top reasons why studying Artificial Intelligence in Chicago can give your career a boost:

Proximity to Industry Leaders

Chicago is home to influential organizations like Boeing, AbbVie, McDonald’s, United Airlines, and many innovative startups. Many AI courses collaborate with such firms, offering internships and placement support.

Access to Real-World Projects

AI courses in Chicago often integrate hands-on learning through capstone projects that solve real business problems using AI technologies.

Networking and Career Events

From Chicago AI Week to local meetups and hackathons, the city’s tech community provides students with ample networking and learning opportunities.

Multicultural Talent Ecosystem

Chicago attracts talent from around the world. Learning in such a diverse and inclusive environment prepares you to work on global AI challenges.

Choosing the Right AI Course in Chicago

Not all AI courses are created equal. A high-quality AI program should offer:

In-depth training in Python, machine learning, deep learning, and Generative AI

Practical exposure to tools like TensorFlow, PyTorch, and cloud platforms

Real-world datasets and industry-aligned projects

Career mentorship, job placement assistance, and certification

Flexible learning modes (online, weekend, or hybrid)

A Leading Choice for AI Education in Chicago

One standout institute offering an industry-focused Artificial Intelligence course in Chicago is the Boston Institute of Analytics.

With a strong global presence and a reputation for delivering practical, job-ready AI training, the institute offers:

Project-based curriculum designed by top data scientists

Training on the latest technologies including Generative AI and Agentic AI

Mentorship from industry professionals

Placement support with leading companies in the U.S. and abroad

Multiple delivery formats to suit working professionals and students alike

Graduates of this program have landed roles in top organizations across tech, finance, healthcare, and consulting, making it one of the most trusted names in AI education.

Final Thoughts

The demand for AI professionals is skyrocketing—and Chicago is at the centre of this transformation in the Midwest. Whether you're looking to become a machine learning engineer, data scientist, or AI consultant, completing anArtificial Intelligence Classroom Course in Chicago is your gateway to a high-growth, high-impact career.

When you choose the right program—especially one that emphasizes real-world application, cutting-edge tools, and career support—you don't just learn AI; you position yourself as a future-ready professional.

The Boston Institute of Analytics, with its globally respected curriculum and strong industry connections, provides everything you need to succeed in the AI space. If you're ready to take your first step into the world of Artificial Intelligence, there’s no better place to begin than in Chicago.

[sudheervanguri]

Roche India is seeking experienced Medical Writers to join our dynamic team in Chennai and Hyderabad. If you hold a Bachelor's degree in medical sciences and have over 5 years of relevant experience, this is your chance to contribute to innovative healthcare solutions at a global leader. About Roche India: Roche is a pioneer in healthcare, dedicated to pushing the boundaries of science to improve health outcomes. With a presence in over 100 countries, we foster a culture of innovation, curiosity, and diversity. Our commitment to diversity, equity, and inclusion drives us to understand and meet the varied healthcare needs of communities worldwide. Job Location and Qualifications: Location: Chennai or Hyderabad Qualification: Bachelor's degree in medical sciences or equivalent (e.g., MBBS, Dentistry, PhD in Healthcare, Pharmacology) Experience: 5+ years in a similar role Preferred: Certification in medical writing or regulatory affairs The Role: As a Senior Medical Writer at Roche India, you will be part of the Global Digital Hub team within Roche Services & Solutions (RSS). Your role will involve crafting high-quality medical writing and digital content solutions, ensuring scientific accuracy, quality, and compliance. Key Responsibilities: Write and edit clinical trial documents, protocols, manuscripts, and regulatory submissions. Ensure content adheres to regulatory guidelines and Roche's best practices. Collaborate cross-functionally with global teams and pharma affiliates. Partner with the creative design team to develop infographics and images. Stay updated with industry trends and best practices in medical writing. Perform quality checks and proof-reading for accuracy. [caption id="attachment_79570" align="aligncenter" width="1200"] Roche India Hiring Medical Writers[/caption] Essential Skills: Strong knowledge of medical terminology, guidelines, and regulations. Ability to interpret medical and clinical data. Excellent written and verbal communication skills. Proactive approach with creative problem-solving abilities. Detail-oriented with a focus on quality and compliance. Application Process: Interested candidates can apply by visiting careers page