دقایقی پیش شبکه #ایرانسل دچار قطع مقطعی شده بود که در حال حاضر در حال برطرف شدن است.
📢 فراخوان مقاله نوزدهمین همایش ملی و هشتمین کنفرانس بین المللی مهندسی ساخت و تولید ایران
نوزدهمین همایش ملی و هشتمین کنفرانس بین المللی مهندسی ساخت و تولید ایران روز پنجشنبه، 18 اسفند، 1401 توسط دانشگاه فردوسی مشهد, انجمن آکوستیک و ارتعاشات ایران, انجمن مهندسی ساخت و تولید ایران در شهر مشهد برگزار می شود.
دانشجویان علاقه مند می توانند جهت ارسال مقالات خود حداکثر تا 30 بهمن ماه با توجه به محورهای این دوره همایش اقدام نمایند
علاقه مندان می توانند جهت دریافت اطلاعات تکمیلی به پایگاه اطلاع رسانی همایش مراجعه و یا با دبیرخانه آن ارتباط برقرار نمایند.
جهت کسب اطلاعات بیشتر به صفحه همایش مراجعه فرمایید:
🔗 مشاهده صفحه همایش
نوزدهمین همایش ملی و هشتمین کنفرانس بین المللی مهندسی ساخت و تولید ایران روز پنجشنبه، 18 اسفند، 1401 توسط دانشگاه فردوسی مشهد, انجمن آکوستیک و ارتعاشات ایران, انجمن مهندسی ساخت و تولید ایران در شهر مشهد برگزار می شود.
دانشجویان علاقه مند می توانند جهت ارسال مقالات خود حداکثر تا 30 بهمن ماه با توجه به محورهای این دوره همایش اقدام نمایند
علاقه مندان می توانند جهت دریافت اطلاعات تکمیلی به پایگاه اطلاع رسانی همایش مراجعه و یا با دبیرخانه آن ارتباط برقرار نمایند.
جهت کسب اطلاعات بیشتر به صفحه همایش مراجعه فرمایید:
🔗 مشاهده صفحه همایش
۱. دانشمندان قرص ضدبارداری جدیدی به نام TDI-11861 برای مردان ساخته‌اند که فعلاً روی موش‌ها و در آزمایشگاه روی اسپرم انسان آزمایش شده و نشان داده که می‌تواند مانع از رسیدن اسپرم به تخمک شود. این دارو با اثر کوتاه‌مدت و بی‌عارضه یکی از بهترین گزینه‌ها با این رویکرد محسوب می‌شود
۲. آزمایش‌ها روی موش‌ها نشان داده که این قرص می‌تواند اسپرم‌ها را حداقل به‌مدت چند ساعت غیرفعال کند تا امکان رسیدن به تخمک را نداشته باشند. دانشمندان می‌گویند قرص ضدبارداری مردان با رویکرد جدیدی ساخته شده تا خللی در هورمون‌های مردانه ایجاد نکند و عوارض جانبی نداشته باشد.
۳. اثر TDI-11861 حدود سه ساعت باقی می‌ماند و بررسی‌ها حاکی از آن است که با گذشت 24 ساعت، دیگر اثری از آن در بدن دیده نمی‌شود و اسپرم‌های جدید دوباره می‌توانند به‌شکل عادی شنا کنند. پیش از آزمایش انسانی، این قرص روی خرگوش‌ها آزمایش می‌شود.
۲. آزمایش‌ها روی موش‌ها نشان داده که این قرص می‌تواند اسپرم‌ها را حداقل به‌مدت چند ساعت غیرفعال کند تا امکان رسیدن به تخمک را نداشته باشند. دانشمندان می‌گویند قرص ضدبارداری مردان با رویکرد جدیدی ساخته شده تا خللی در هورمون‌های مردانه ایجاد نکند و عوارض جانبی نداشته باشد.
۳. اثر TDI-11861 حدود سه ساعت باقی می‌ماند و بررسی‌ها حاکی از آن است که با گذشت 24 ساعت، دیگر اثری از آن در بدن دیده نمی‌شود و اسپرم‌های جدید دوباره می‌توانند به‌شکل عادی شنا کنند. پیش از آزمایش انسانی، این قرص روی خرگوش‌ها آزمایش می‌شود.
۱. مودم اسنپدراگون X75 5G که نسخه پیشرفته‌تر X70 محسوب می‌شود، از ارتباط ماهواره‌ای اسنپدراگون Satellite و وای‌فای ۷ پشتیبانی می‌کند. این مودم همچنین فرستنده-گیرنده موج میلی‌متری و زیر 6 گیگاهرتز شبکه 5G را ترکیب کرده است.
۲. به گفته کوالکام، ترکیب فرستنده-گیرنده باعث کاهش ۲۰ درصدی مصرف انرژی نسبت به اسنپدراگون X70 می‌شود، اما اگر در واقعیت با کاهش ۱۰ درصدی هم روبه‌رو شویم، یک دستاورد قابل‌توجه برای کوالکام به حساب می‌آید.
۳. این مودم که از هوش مصنوعی برای بهبود سرعت، پوشش‌دهی و افزایش دقت موقعیت‌یابی استفاده می‌کند، در نیمه دوم سال جاری میلادی و احتمالاً با اسنپدراگون 8 نسل 3 از راه می‌رسد.
۲. به گفته کوالکام، ترکیب فرستنده-گیرنده باعث کاهش ۲۰ درصدی مصرف انرژی نسبت به اسنپدراگون X70 می‌شود، اما اگر در واقعیت با کاهش ۱۰ درصدی هم روبه‌رو شویم، یک دستاورد قابل‌توجه برای کوالکام به حساب می‌آید.
۳. این مودم که از هوش مصنوعی برای بهبود سرعت، پوشش‌دهی و افزایش دقت موقعیت‌یابی استفاده می‌کند، در نیمه دوم سال جاری میلادی و احتمالاً با اسنپدراگون 8 نسل 3 از راه می‌رسد.
برنامه artifact رو هم‌بنیان‌گذارهای اینستاگرام ساختن واسه خوندن مقالات و اخبار. اساس کارش هوش مصنوعی هست که بر حسب سلایق و سابقه شما یاد میگره چی رو بهتون نشون بده. برای عضویت فعلا یه لیست انتظار داره. چهار نفر از این لینک دعوت من میتونن ثبت نام بکنند
https://artifact.news/
فعلا فقط از سایت‌های خبری به من مطلب نشون میده و هنوز نتونستم وبلاگ‌ها و خبرنامه‌ها رو به عنوان سورس تعریف کنم ولی چون از rss پشتیبانی میکنه احتمالا مشکلی نباشه
https://artifact.news/
فعلا فقط از سایت‌های خبری به من مطلب نشون میده و هنوز نتونستم وبلاگ‌ها و خبرنامه‌ها رو به عنوان سورس تعریف کنم ولی چون از rss پشتیبانی میکنه احتمالا مشکلی نباشه
کروم دسکتاپ همیشه رم زیادی مصرف میکنه، ولی توی آپدیت جدید ۲ تا ویژگی Memory Saver و Energy Saver رو اضافه کرده و این مشکل برای همیشه برطرف شده
توی تست من حداقل ۳۰ تا تب باز کردم و کروم بدون کوچک‌ترین لگ و مصرف رم داره کار میکنه
دوستان عزیز اگه براتون نمایش داده نمیشه ظاهرا این گزینه میتونه کمک کنه
توی آدرس مرورگر کروم اینو بزنید
chrome://flags/#high-efficiency-mode-available
و گزینش رو فعال کنید
توی تست من حداقل ۳۰ تا تب باز کردم و کروم بدون کوچک‌ترین لگ و مصرف رم داره کار میکنه
دوستان عزیز اگه براتون نمایش داده نمیشه ظاهرا این گزینه میتونه کمک کنه
توی آدرس مرورگر کروم اینو بزنید
chrome://flags/#high-efficiency-mode-available
و گزینش رو فعال کنید
D. in Data Science @ University of Rome Tor Vergata https://datasciencephd.uniroma2.it
Special themes:
[1] Privacy in Pre-Trained Language Models: Data leakage from pre-trained transformers (informal inquiries to fabio.massimo.zanzotto@uniroma2.it)
[2] Creation of a consolidated data model for ESG (Environment, Social and Governance ) reporting using Semantic Web formalisms (informal inquiries to stellato@uniroma2.it)
The position is opening soon. Check the website (https://datasciencephd.uniroma2.it) often.
For the position [1], you will join a vibrant group working on these projects HitAI, KATY, REVERT and more…
For the position [2], you will collaborate with OS-Climate
Special themes:
[1] Privacy in Pre-Trained Language Models: Data leakage from pre-trained transformers (informal inquiries to fabio.massimo.zanzotto@uniroma2.it)
[2] Creation of a consolidated data model for ESG (Environment, Social and Governance ) reporting using Semantic Web formalisms (informal inquiries to stellato@uniroma2.it)
The position is opening soon. Check the website (https://datasciencephd.uniroma2.it) often.
For the position [1], you will join a vibrant group working on these projects HitAI, KATY, REVERT and more…
For the position [2], you will collaborate with OS-Climate
PhD Data Science
Dottorato di Ricerca in Data Science - Università degli Studi di Roma Tor Vergata
La transizione digitale degli ultimi decenni ha riguardato tutti gli ambiti della realtà sociale trasformando profondamente la sfera economica e
produttiva, quella culturale e scientifica, quella delle relazioni sociali e comunicative. Una delle conseguenze…
produttiva, quella culturale e scientifica, quella delle relazioni sociali e comunicative. Una delle conseguenze…
hD position focusing on Neuro-Symbolic AI at the University of Amsterdam, targeting XAI with applications in finance. Deadline: February 15.
It would be appreciated if you could forward it to your students who might be interested.
Further info can be found at the link below:
https://vacatures.uva.nl/UvA/job/PhD-Position-in-Explainable-AI-in-Finance/761750602/
It would be appreciated if you could forward it to your students who might be interested.
Further info can be found at the link below:
https://vacatures.uva.nl/UvA/job/PhD-Position-in-Explainable-AI-in-Finance/761750602/
موقعیت فول فاند دکتری
اروپا
new (fully paid) PhD position on "reliable deep multi-task reinforcement learning using epistemic uncertainty estimation in graph neural networks" at TU Delft (Netherlands)! We have a great team working on closely related projects, and offer lots of opportunity to be creative and follow your own research questions. See http://reinforceAI.net for more information on our group.
Challenge: AI that generalizes reliably to new situations.
Change: Make neural networks certain about their predictions.
Impact: Help AI to leap from the simulator to the real world.
Please apply here: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=10652&jobTitle=%20PhD%20position%20in%20reliable%20deep%20reinforcement%20learning%20
اروپا
new (fully paid) PhD position on "reliable deep multi-task reinforcement learning using epistemic uncertainty estimation in graph neural networks" at TU Delft (Netherlands)! We have a great team working on closely related projects, and offer lots of opportunity to be creative and follow your own research questions. See http://reinforceAI.net for more information on our group.
Challenge: AI that generalizes reliably to new situations.
Change: Make neural networks certain about their predictions.
Impact: Help AI to leap from the simulator to the real world.
Please apply here: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=10652&jobTitle=%20PhD%20position%20in%20reliable%20deep%20reinforcement%20learning%20
reinforceai.net
Böhmer Research Lab
The Research Lab of Wendelin Böhmer at the TU Delft. We investigate theoretical questions in deep reinforcement learing, in particular deduction, adaptation and out-of-distribution generalization. Böhmer/Boehmer/Bohmer Lab
موقعیت دکتری فول فاند
رشته کامپیوتر
هند
Cross-Caps Lab, Infosys Centre for AI @IIIT Delhi is inviting applications for a full time Ph.D. position in the area of Speech Recognition. This is a full-time position and can’t be held concurrently with any other substantive post.
For general queries, interested candidates can send an email to abrol[at]iiitd[dot]ac[dot]in with the subject "Inquiry for Ph.D. (ASR) @ Cross-Caps".
Timelines and Application Procedure:
Applications are accepted through this Google form https://lnkd.in/ez4TaWCX
The position will start asap but is quite flexible.
Applications will be evaluated constantly and will be filled on as soon as a suitable candidate is found.
Benefits:
- Salary equivalent of PMRF INR 60K - 65K per month available based on prior experience and for deserving candidates.
- Access to high-performance computing infrastructure.
- Networking opportunity with peers and collaborators via overseas visiting research fellowship.
Qualifications
You must hold a Bachelor's or Master's (preferable) degree with CGPA>7 in CSE/ECE/Mathematics or related disciplines.
You should demonstrate experience with sequence-to-sequence-based Deep Learning technologies (e.g., Transformers, LSTM, NMT, Conformer, DeepSpeech) and building Automatic Speech Recognition (ASR) pipelines using one of the popular tools such as Kaldi, SpeechBrain, ESPNet, or TensorflowASR in tandem with TF/Pytorch. Knowledge and hands-on experience with classical machine learning algorithms are always a plus.
رشته کامپیوتر
هند
Cross-Caps Lab, Infosys Centre for AI @IIIT Delhi is inviting applications for a full time Ph.D. position in the area of Speech Recognition. This is a full-time position and can’t be held concurrently with any other substantive post.
For general queries, interested candidates can send an email to abrol[at]iiitd[dot]ac[dot]in with the subject "Inquiry for Ph.D. (ASR) @ Cross-Caps".
Timelines and Application Procedure:
Applications are accepted through this Google form https://lnkd.in/ez4TaWCX
The position will start asap but is quite flexible.
Applications will be evaluated constantly and will be filled on as soon as a suitable candidate is found.
Benefits:
- Salary equivalent of PMRF INR 60K - 65K per month available based on prior experience and for deserving candidates.
- Access to high-performance computing infrastructure.
- Networking opportunity with peers and collaborators via overseas visiting research fellowship.
Qualifications
You must hold a Bachelor's or Master's (preferable) degree with CGPA>7 in CSE/ECE/Mathematics or related disciplines.
You should demonstrate experience with sequence-to-sequence-based Deep Learning technologies (e.g., Transformers, LSTM, NMT, Conformer, DeepSpeech) and building Automatic Speech Recognition (ASR) pipelines using one of the popular tools such as Kaldi, SpeechBrain, ESPNet, or TensorflowASR in tandem with TF/Pytorch. Knowledge and hands-on experience with classical machine learning algorithms are always a plus.
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
دو موقعیت دکتری کامپیوتر
فول فاند
اروپا
PhD candidate will explore how cutting-edge data analysis tools, including machine learning (ML), can be applied and tailored to answer fundamental cellular biology questions relying on such super-resolved images. This project combines timely analytical challenges with deep-rooted applications in life science.
We are looking for a PhD candidate with MS majors in either engineering/computer science/physics/mathematics. Experience with ML implementation, graphs and/or microscopy data is a plus.
More information & application
https://su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=19938&rmlang=UK
Deadline: 21/02/23
Contact: For more information, please contact project leader, Associate Professor, Juliette Griffie, juliette.griffie@dbb.su.se.
Keywords: spatial point patterns, graph neural network & microscopy image analysis
فول فاند
اروپا
PhD candidate will explore how cutting-edge data analysis tools, including machine learning (ML), can be applied and tailored to answer fundamental cellular biology questions relying on such super-resolved images. This project combines timely analytical challenges with deep-rooted applications in life science.
We are looking for a PhD candidate with MS majors in either engineering/computer science/physics/mathematics. Experience with ML implementation, graphs and/or microscopy data is a plus.
More information & application
https://su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=19938&rmlang=UK
Deadline: 21/02/23
Contact: For more information, please contact project leader, Associate Professor, Juliette Griffie, juliette.griffie@dbb.su.se.
Keywords: spatial point patterns, graph neural network & microscopy image analysis
www.su.se
PhD Student Positions - Stockholm University
موقعیت دکتری مهندسی
مالزی
PhD student at the School of Engineering, Monash University Malaysia. The topic is on applying deep learning/ machine learning in medical images (e.g., chest X-rays, mammograms, CT scans, etc.).
Benefits:
- Tuition fees waived
- MYR 2,800/ month, stipend
Requirements:
- A Master's degree or a 4-year Bachelor’s degree in Computer Science, Electrical Engineering or similar. A first class degree is required for either the Bachelor’s or Master’s (preferably both)
- Good knowledge of mathematics and algorithms.
- Good knowledge of using deep learning techniques for solving computer vision problems (e.g., detection, segmentation, and/ or classification).
- Fluency in Python
- Good knowledge with: PyTorch, TensorFlow, OpenCV (or any alternatives).
- English fluency, both written and spoken.
For more details, please contact and send your latest/ updated CV and academic transcripts to Dr. Maxine Tan at MaxineDOTTanATmonash.edu.
The scholarship is opened to both local (Malaysian) and international students
مالزی
PhD student at the School of Engineering, Monash University Malaysia. The topic is on applying deep learning/ machine learning in medical images (e.g., chest X-rays, mammograms, CT scans, etc.).
Benefits:
- Tuition fees waived
- MYR 2,800/ month, stipend
Requirements:
- A Master's degree or a 4-year Bachelor’s degree in Computer Science, Electrical Engineering or similar. A first class degree is required for either the Bachelor’s or Master’s (preferably both)
- Good knowledge of mathematics and algorithms.
- Good knowledge of using deep learning techniques for solving computer vision problems (e.g., detection, segmentation, and/ or classification).
- Fluency in Python
- Good knowledge with: PyTorch, TensorFlow, OpenCV (or any alternatives).
- English fluency, both written and spoken.
For more details, please contact and send your latest/ updated CV and academic transcripts to Dr. Maxine Tan at MaxineDOTTanATmonash.edu.
The scholarship is opened to both local (Malaysian) and international students
موقعیت دکتری/پستداک
Ph.D/postdoc opportunities at Imperial College/HEC Montreal to study inverse problems with transportation applications.
In many areas of science and engineering inverse problems arise. These problems consider a set of field observations and aim to derive the causal factors that generated the data. Inverse problems are difficult to tackle because they are underdetermined, i.e., there is often a, possibly infinite, set of causal factors that are consistent with the field data. These solutions are then used to tackle control problems. This project aims to characterize the set of solutions and to quantify their impact on the solution set of the control problems. This ultimately enables the design of robust causal inference and robust counterfactual analysis techniques.
This project develops compute-efficient optimization techniques to tackle these problems. The project can cover research areas such as bilevel optimization, fixed-point problems, game theory, traffic assignment, travel demand estimation.
The project is motivated by high-dimensional inverse problems that arise in the field of urban mobility and transportation. The inverse problems consider traffic field data that describes congestion patterns and aim to derive the travel demand that generated these congestion patterns. Control problems include congestion pricing and traffic management problems.
Research Team.
The researcher will be co-advised by Prof. Dario Paccagnan (Department of Computing, Imperial College London) and Prof. Carolina Osorio (Scale AI Research Chair, Department of Decision Sciences, HEC Montreal; Google Research). Academic affiliations can be at either Imperial College or at HEC Montreal with potential affiliations to various research centers (e.g., CIRRELT, GERAD) and numerous career opportunities within the Scale AI and the IVADO ecosystems. Details on the PhD program at Imperial College can be found at link. Similarly, for HEC Montreal, see link.
Application process.
A strong background in mathematics, operations research, optimization, game theory, control theory, computer science, statistics, or other related disciplines is required. A successful candidate should have proficiency in programming and an interest in transportation applications. Applicants are invited to submit: (i) a full CV, (ii) a copy of all their university-level transcripts, (iii) a short statement (at most 3 pages) describing why they want to work on this topic, what subtopics they would like to focus on (e.g., describe the first few papers they’d like to work on) and why they think they are qualified to do so; (iv) the names and contact details of three references (including graduate supervisors). If desired, applicants can include a copy of one of their scientific publications. All documents should be compiled into a single pdf file and send to : univ.vacancies@gmail.com with the subject “Application Inverse Problems Research".
Ph.D/postdoc opportunities at Imperial College/HEC Montreal to study inverse problems with transportation applications.
In many areas of science and engineering inverse problems arise. These problems consider a set of field observations and aim to derive the causal factors that generated the data. Inverse problems are difficult to tackle because they are underdetermined, i.e., there is often a, possibly infinite, set of causal factors that are consistent with the field data. These solutions are then used to tackle control problems. This project aims to characterize the set of solutions and to quantify their impact on the solution set of the control problems. This ultimately enables the design of robust causal inference and robust counterfactual analysis techniques.
This project develops compute-efficient optimization techniques to tackle these problems. The project can cover research areas such as bilevel optimization, fixed-point problems, game theory, traffic assignment, travel demand estimation.
The project is motivated by high-dimensional inverse problems that arise in the field of urban mobility and transportation. The inverse problems consider traffic field data that describes congestion patterns and aim to derive the travel demand that generated these congestion patterns. Control problems include congestion pricing and traffic management problems.
Research Team.
The researcher will be co-advised by Prof. Dario Paccagnan (Department of Computing, Imperial College London) and Prof. Carolina Osorio (Scale AI Research Chair, Department of Decision Sciences, HEC Montreal; Google Research). Academic affiliations can be at either Imperial College or at HEC Montreal with potential affiliations to various research centers (e.g., CIRRELT, GERAD) and numerous career opportunities within the Scale AI and the IVADO ecosystems. Details on the PhD program at Imperial College can be found at link. Similarly, for HEC Montreal, see link.
Application process.
A strong background in mathematics, operations research, optimization, game theory, control theory, computer science, statistics, or other related disciplines is required. A successful candidate should have proficiency in programming and an interest in transportation applications. Applicants are invited to submit: (i) a full CV, (ii) a copy of all their university-level transcripts, (iii) a short statement (at most 3 pages) describing why they want to work on this topic, what subtopics they would like to focus on (e.g., describe the first few papers they’d like to work on) and why they think they are qualified to do so; (iv) the names and contact details of three references (including graduate supervisors). If desired, applicants can include a copy of one of their scientific publications. All documents should be compiled into a single pdf file and send to : univ.vacancies@gmail.com with the subject “Application Inverse Problems Research".
موقعیت پستداک
دانشگاه آکسفورد
postdoc to work on logic + machine learning + constraint solving + program synthesis at the University of Oxford.
An ideal candidate will have experience in some/all the areas of program synthesis; inductive logic programming; answer set programming, sat solving, or constraint solving.
The start date and working conditions are highly flexible.
Contact me (andrew.cropper@cs.ox.ac.uk) if interested.
The full details are here:
https://www.cs.ox.ac.uk/news/2129-full.html
دانشگاه آکسفورد
postdoc to work on logic + machine learning + constraint solving + program synthesis at the University of Oxford.
An ideal candidate will have experience in some/all the areas of program synthesis; inductive logic programming; answer set programming, sat solving, or constraint solving.
The start date and working conditions are highly flexible.
Contact me (andrew.cropper@cs.ox.ac.uk) if interested.
The full details are here:
https://www.cs.ox.ac.uk/news/2129-full.html
Department of Computer Science
Research Associate on the AutoCS project
163506