Machine Learning & Data Science

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Neo4j is doing remarkable in making KnowledgeGraph easy to apply and integrate with GenAI Ecosystem.
12/06/2024

Neo4j is doing remarkable in making KnowledgeGraph easy to apply and integrate with GenAI Ecosystem.

Welcome to the official page of "Machine Learning & Data Science Research"! 📚🧠This page is dedicated to explori...
16/07/2023

Welcome to the official page of "Machine Learning & Data Science Research"! 📚🧠

This page is dedicated to exploring the exciting world of machine learning and data science research. Whether you're a seasoned professional, a student, or simply curious about these cutting-edge fields, you've come to the right place.

Here, we strive to foster a vibrant community of like-minded individuals who share a passion for pushing the boundaries of knowledge in machine learning and data science. Our aim is to provide a platform for sharing the latest research, insights, and breakthroughs in these rapidly evolving domains.

Stay informed and inspired as we bring you thought-provoking articles, research papers, tutorials, and engaging discussions. Discover the most recent advancements in machine learning algorithms, deep learning models, data analysis techniques, natural language processing, computer vision, and much more.

Join us on this exhilarating journey as we delve into the intricate world of data-driven decision-making, predictive modeling, and pattern recognition. Together, we'll unravel the mysteries of complex datasets and unlock the transformative power of artificial intelligence.

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18/09/2020

This is the product I proposed as a supervisor and developed with my brilliant students at Bahria University Karachi back in 2016-17. If you are interested to develop locally , I can help you out.

Intel Now Packs 100 Million Transistors in Each Square MillimeterBy Rachel CourtlandPosted 30 Mar 2017 | 16:00 GMT An im...
30/03/2017

Intel Now Packs 100 Million Transistors in Each Square Millimeter

By Rachel Courtland
Posted 30 Mar 2017 | 16:00 GMT
An image of the inside of Intel's D1X research fab in Hillsboro, Oregon
Photo: Intel
I’ll admit it: journalists like milestones. Nice round numbers and anniversaries make for good headlines. So my ears certainly perked up on Tuesday when Intel said that it can now pack more than 100 million transistors in each square millimeter of chip “for the first time in our industry’s history,” said Kaizad Mistry, a vice president and co-director of logic technology at the company. Delivering more transistors in the same area means the circuitry can be made smaller, saving on cost, or it means that more functionality can be added to a chip without having to make it bigger.

The news came during Intel’s first Technology and Manufacturing Day, a behind-the-scenes look at the company’s latest chip classes and packaging technology, and another opportunity for the chipmaker to declare that Moore’s Law is alive and well—at least for Intel.

“All these things are difficult, but once they’re done they seem normal. And that’s the magic of Moore’s Law.” – Intel’s Kaizad Mistry
The nice round 100 million milestone (100.8 million, to be exact) belongs to Intel’s latest-and-greatest chip generation: 10 nanometers. For those uninitiated in semiconductor lingo, the 10 nm designation is a reference to the “node” or manufacturing technology used to make such chips. As a general rule, the smaller the number, the denser the circuitry. But even though node names look like measurements, today the numbers don’t really correspond to the size of any particular feature and there can be significant variation between companies.

When I wrote about Intel’s 10-nm plans in our January issue previewing the coming year in technology, the company was not yet ready to say much publicly about the specific dimensions of the transistors. This week, they were more forthcoming with figures [pdf]: it’s 34 nm from one fin to the next in the company’s FinFET transistors and 36 nm from one wire to the next in the most dense interconnect layers (down from 42 nm and 52 nm, respectively, in the previous, 14-nm chip generation).

Shorter distances such as these mean that 10nm chips can pack significantly more transistors in a given area. The 100 million density figure comes from a metric that Intel senior fellow Mark Bohr has proposed the industry resurrect, in order to better compare chipmaker offerings. Instead of measuring a chip manufacturing generation by an area taken up by a certain component or set of components, Bohr proposes that we instead measure chip generations by their transistor density—in particular, by the number spit out by an equation that combines the transistor density in a standard 2-input NAND cell and a scan flip-flop logic cell.

Intel plot showing transistor density as a function of time
Image: Intel
Ten years ago, the state-of-the-art for Intel was 3.3. billion transistors per square millimeter.
And by that metric, Bohr says, Intel has more than doubled its transistor density in recent years. From 22nm to 14nm, the transistor density jumped by a factor of 2.5x. And in the move from 14-nm to 10-nm chip manufacturing technology, the jump was 2.7x, from 37.5 million transistors per square millimeter to more than 100 million. Crucially, the company says, the 10-nm transistors have the capacity for higher speed and greater energy efficiency than their predecessors (although, when I spoke with Bohr late last year, he said the focus lately has been on the latter).

But it remains to be seen whether the industry will agree that the new metric is a meaningful one. In comments to EE Times, one analyst said transistor count over a larger area, closer to the size of a real chip, would be a more relevant metric. And an unnamed spokesperson from rival chipmaker TSMC told the site: “I have no idea how Intel does its new calculation...for example, its [first-generation 14nm CPU] Broadwell used to have 18.4 million transistors per mm squared, yet under the new measure it suddenly has 37.5 million transistors per mm2. Are they trying to play paper games?”

So it looks like there might be some room to quibble over that 100 million figure. But Intel emphasizes the idea that it is more than doubling transistor density with each new chip generation. This more aggressive level of miniaturization helps to counteract the slower cadence that has recently set in with respect to the introduction of each new generation. On balance, Intel says, the company is still on a pace that roughly corresponds to a doubling of transistor density every couple of years.

Intel calls the suite of strategies it uses to accomplish more-than-doubling “hyperscaling.” It includes design improvements, but a big piece is the company’s approach to laying down the patterns that ultimately become the chip’s transistors and wiring, which Intel fellow Ruth Brain outlined in her talk [pdf].

With its 14-nm chips, Brain said, Intel began using a strategy called self-aligned double patterning (SADP). SADP is a form of multiple patterning, a range of strategies that can be used to make chip features much smaller than the 193-nm light that is used to print them by splitting the patterning process into multiple steps.

A picture of FinFET cross-sections
Image: Intel
At Intel’s 10 nm, the fins that form the current-carrying transistor channel are taller, more closely spaced, and also a bit nicer looking than in previous chip generations.
Other companies, Brain said, use a simple multiple patterning approach that essentially prints the same pattern multiple times, offset slightly. But that technique relies on a lithography machine’s ability to pinpoint the same spot for each exposure, and variability in this process can degrade chip performance and lower the number of usable chips produced. SADP splits up the patterning in a different way, to sidestep this “overlay” issue.

With 10-nm chips, Intel as adopted self-aligned quadruple patterning (SAQP), a similar approach that requires four passes through a lithography machine. Mistry says SAQP has one more generation in it, which would take Intel down to the feature sizes needed to produce the next generation: 7 nm.

Somewhere in there, we may just see extreme ultraviolet (EUV) lithography enter the picture. EUV uses 13.5-nm radiation (pretty much X-rays) instead of 193-nm ultraviolet light for feature patterning.

But back to the present and that 100 million transistors per square millimeter figure. It’s easy to underplay the engineering feats that go into making that sort of milestone (assuming it stands the test of time) possible. “You know one of the remarkable things about Moore’s Law is that Moore’s Law’s past seems preordained and ordinary, and Moore’s Law’s future is difficult and requires inventions,” Mistry told IEEE Spectrum.

Now, he says, the FinFET transistor seems par for the course, but it wasn’t when Intel introduced the technology in 2011. “All these things are difficult, but once they’re done they seem normal,” he adds. “And that’s the magic of Moore’s Law.”

07/03/2017

My new speech on
Think, Built and Create for Industry has been recorded ! wait

02/01/2017
06/12/2016

Hot Jobs, Internships

06/12/2016

Masters/Postgraduate, Scholarships, Study Abroad, Study in Europe

05/11/2016

Get ready to hack your world and all the things in it! In the IoT Builders Contest, we challenge you to build internet-connected solutions that make you or your world smarter, using tech in cool new ways. Connect products and devices, build apps, or hack a process. Whether in the realm of your home,...

21/08/2016

TEDxBAHRIAUNIVERSITY is announcing its first event on

Career in Information Security and Network Security

held at Fatima Jinnah Hall in Last week of September 2016.

By Mr Rafay Baloch, Information Security Manager at PTCL
World renown bug bounty and writer of Ethical Hacking and Pe*******on Testing Guide.

Do miss the event and register.
Registration open in 1st week of Sept 2016

16/07/2016

"When Students move to a new school, they sometimes face problems. How can school help these students with their problems?
An elaboration with reasons & examples."

Studentship is the most beautiful experience in one’s life. Almost everyone has this time at least once in life with either structures like schools or unstructured like a working bar. The most remember-able thing that affect are the learning outcomes from each problem face, on a piece of paper or in reality.

In structured schooling system, almost every student may face several problems, common of them are physical & mental adjustment with a quite new environment where one should spent one third of time in a day. Secondarily schools introduce a far different technique in a one’s life to strive for learning such a classroom culture, white or a black board and notebooks. Structured schooling systems are always a problem creator but a problem solver too. They allocate councilors, student advisors, psychological support or even on higher side, personal development sessions. Such streak looks beautiful in mirror but again a difficult prospect from a young mind to adopt. The hidden truth behind this problem is in a pyramid of parents, schools and method where strong connection between each is essential. Outcomes of this leads to built a career oriented, strong mental & socially positive individual.

Aside of academic process, sports and co-curricular activities can also be the one of the most effective method for encouraging students in team or a group shaped to achieve a common goal. Physical trainings sessions, matches and activities should be designed in such a way that it reduces interpersonal conflicts, better time management and improve health and hygiene. This must be introduced quite easily into a student because human always take greater impacts from practices. Outcomes of such techniques are leadership, tolerance and self reliance.
In contrast, unstructured learning has depth of learning without direction. It is simply a different way to have experiences day to day and record them. It has been observed that collection of learned experiences begin to conclude in late ages due to continuous disruptions and mental instability. Individual who lived the life this way may gain more experiences early but do not have the skills to conclude to a solution. At this time, subject depends upon inference from society and system like a small ship in a high flow stream. Outcomes may be delayed but quite surprising.

Concluding to the above, it must be noted that structured schooling systems are easy drivers for a better outcome based learning places where individual can find its own sky to discover but with a well known problem solving techniques. So a direction with an effort gets a reward.

Author:
Engr Asim Rizvi is Assistant Professor at Bahria University since 2013. He did his Bachelors & Masters in Computers. He was facilitated with a vast experience of education & curriculum research by his parents served in education dept of Sindh province. Professor has also acquired various courses in education development from Pakistan Navy school of Management, Valparaiso University USA and Pakistan Engineering Council which is a Washington Award accredited body.

11/07/2016

Our new mentor
Mr Rafay Baloch

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