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Top Master’s Programs In Machine Learning In The US – Analytics India Magazine

Organisations, regardless of size, are adopting emerging technologies like machine learning, data science, and AI to gain meaningful insights from large chunks of data in a bid to accelerate their growth. According to the Analytics and Data Science India Industry study 2020, advanced analytics, predictive modelling, and data science together account for 16% of the analytics revenues across enterprises. The rapid digital adoption has opened the skill gap wide. Many institutions across the world are now offering courses both online and offline to plug this gap.

Here are the top ten Masters in Machine Learning in the US.

(The list is in alphabetical order)

Program: Master of Science in Machine Learning

Location: Pittsburgh, Pennsylvania

Duration: Up to 2 years

About: The Master of Science in Machine Learning includes 7 Core courses, 2 Elective courses, and a practicum. Incoming students should have good analytical skills and a strong aptitude for mathematics, statistics, and programming.

Know more here.

Program: Computer Science M.S. With Specialisation in Machine Learning

Location: Ithaca, New York

Duration: 2 years or more

About: The program comprises five different core areas such as algorithms and theory of computation, artificial intelligence, systems, programming languages and methodology, scientific computing and applications.

Know more here.

Program: Master of Science in Computer Science With Specialisation in Machine Learning

Location: Atlanta, Georgia

Duration: 2 years

About: The Master of Science in Computer Science (M.S. CS) is a terminal degree program designed to prepare students for highly productive careers in the industry. Students can choose from 11 areas of specialisation including Machine Learning, Interactive Intelligence, Scientific Computing, High-Performance Computing, and Human-Computer Interaction.

Know more here.

Program: Data Analytics & Machine Learning Masters Programs

Location: Durham, North Carolina

Duration: 1.5 2 years

About: The focus on data analysis and machine learning provides masters students with the tools to manage, interpret and gain new insights from data. Students will be exposed to mathematical foundations of Big Data, training in practical programming, and instruction in machine learning, statistics and information theory.

Know more here.

Program: Master of Science in EECS with Specialisation in Machine Learning

Location: Cambridge, Massachusetts

Duration: 1 to 2 years or more

About: The Master of Science in Electrical Engineering and Computer Science (EECS) offers research possibilities in artificial intelligence, Computer Graphics and Vision, Human-Computer Interaction, Machine Learning, Natural Language and Speech Processing.

Know more here.

Program: MS in Artificial Intelligence

Location: Boston

Duration: 2 years

About: In the MS in AI degree program, students will learn to apply creative thinking, algorithmic design, and coding skills to build modern AI and machine learning systems. Students will get deep technical training and expertise in machine learning, computer vision, and natural language processing.

Know more here.

Program: MS in Computer Science Artificial Intelligence & Machine Learning

Location: Rochester, New York

Duration: 2 years

About: This program is for students who intend to complete their studies at the University of Rochester with an MS degree. The Artificial Intelligence & Machine Learning Masters program covers topics like data mining, computer vision, machine learning, statistical speech and language processing.

Know more here.

Program: Masters in Computer Science

Location: San Diego, California

Duration: 2 years or more

About: The Masters degree is offered with the title Computer Science and Engineering or Computer Science and Engineering (Computer Engineering). Students must register for a minimum of three quarters for residency requirements.

Know more here.

Program: Master of Science (MS) in Machine Learning

Location: Hoboken, New Jersey

Duration: 2 years or more

About: The machine learning masters program establishes the theoretical and practical foundations necessary to be at the forefront of the next technological revolution.

Know more here.

Program: MSCS in Artificial Intelligence

Location: Stanford, California

Duration: 2 years

About: The MSCS in Artificial Intelligence program includes the study of AI principles and machine learning techniques, as well as foundational material on topics such as logic, probability, and language. The topics in the AI course include knowledge representation and logical reasoning, robotics, machine learning, probabilistic modeling and inference, natural language processing, cognition, and applications in domains such as biology and text processing.

Know more here.

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LHS earns diversity award | The Spinal Column – Spinal Column Online

First, Isaac Perry, an AP English teacher and chairperson of Lakeland High Schools English Department, brought AP Computer Science to the school.

Now, LHS has earned the College Boards AP Computer Science Female Diversity Award.

The award recognizes Lakeland for achieving high female representation in AP Computer Science Principles. Schools honored with the AP Computer Science Female Diversity Award have expanded girls access in AP Computer Science courses, according to a College Board release.

Out of the 20,000 institutions that offer AP courses, 1,119 achieved either 50% or higher female representation in one of the two AP computer science courses or a percentage of the female computer science examinees meeting or exceeding that of the schools female population during the 2019-20 school year. Thats nearly 37% more than the 818 schools recognized last year.

In 2020, Lakeland was one of 831 schools recognized in the category of AP Computer Science Principles.

During an unprecedented year, Lakelands female students have demonstrated perseverance and dedication in their study of AP computer science, said Stefanie Sanford, College Board chief of global policy and external relations. We could not be more proud of Lakelands female students for staking their claim as the next generation of STEM and computer science professionals. We cant wait to see their passion for next generation technology lead to lifelong success.

Perry, who graduated from Milford High School in 1995, majored in English and minored in math. His first year of teaching was at Everett High School; the next two years, he was at Pontiac Northern.

A teacher at LHS since 2003, hes spent most of his career teaching English and didnt pursue computer science as a class until about 2015.

He received special training from Code.org, a national nonprofit that aims to increase representation of minorities and girls in computer science. One of the things he learned was how to convince female and minority students to try an AP computer science class.

I knew I was going to need to advertise; I knew I was going to need to talk the class up, explained Perry. He felt that his position teaching junior AP English classes helped him to reach out in an intentional way to his target group; he was able to convince a lot of those students to take one of his computer science classes.

Perry, who is the chairperson of LHS English Department, considers himself a lucky man to get to pursue two of his passions English in the morning and computer science in the afternoon.

We now have two AP level computer science classes taught here, he said. For the first four years or so, he only taught one computer course: AP Computer Science Principles. New this school year is AP Computer Science A, which focuses upon learning the Java programming language.

He estimated that hes taught about 250 students. Last year, he added, I did have an even 50/50 split. This year, I believe Im very close to that.

Dr. Brigitte Knudson, LHS interim principal, said of the award: It is such a great honor. Shes proud of the work Perrys done to breathe life into the program, not just for the female students, but for all LHS students. No Huron Valley school had AP computer science courses before he started it.

Its so wonderful that the program was recognized, she added. I cant say enough wonderful things about Isaac Perry. Hes just phenomenal. Hes an inspiration for all of our students.

The College Boards press release added that, in its first year (2016-17), AP Computer Science Principles attracted more students nationwide than any other course debut. Its continued to be popular more than 116,000 students took the AP CSP exam in 2020 double the amount from its first year.

Providing female students with access to computer science courses is critical to ensuring gender parity in the industrys high-paying jobs and to drive innovation, creativity and representationA code.org analysis of 2017 Bureau of Labor Statistics data finds women represent just 24% of the 5 million people in computing occupations.

Additionally, according to the press release, female students who take AP CSP in high school are more than five times as likely to major in computer science in college, compared to similar female students who did not take CSP. The study also finds AP CSP students are nearly twice as likely to enroll in AP CSA, and that for most students, AP CSP serves as a stepping-stone to other advanced AP STEM coursework.

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Syracuse University to offer online, part-time computer programming degree – The Daily Orange

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Syracuse University will offer an online, part-time computer programming degree in fall 2021.

SUs University College is currently accepting applications for the bachelor of professional studies degree, said Michael Frasciello, dean of the college. Students who pursue this degree may choose to seek careers in fields such as health care, criminal justice, defense contracting and finance, according to SUs website.

All University College degrees are created based on demands from growing industries and inquiries from students, Frasciello said. Computer programming has been and continues to be one of those areas of interest, he said.

The students that we are admitting to the program persist and succeed those are markers of success that we put a lot of emphasis on internally, because it means we are doing our job really well, Frasciello said.

University College worked closely with the College of Engineering and Computer Science to structure the degrees curriculum, Frasciello said.

While University College runs the program, the electrical engineering and computer science department serves as a consultant for any course or curriculum modifications to the program, said Susan Older, chair of the computer science department, in an email.

The program has been designed to prepare graduates for career placement and advancement in computer programming fields, Older said. The coursework emphasizes applied computing and programming skills, with less emphasis on the math-oriented aspects of computer science.

As a professional studies degree, the program will require 120 credit hours that include a liberal arts core and a professional competency core, Frasciello said.

Mark Borte, an adjunct professor in the School of Information Studies, teaches a project management course that will comprise one of the core courses for the new degree.

Since industries utilizing computer programming tend to be mostly project-based, it makes sense to include the course as one of the programs core requirements, Borte said.

It is very typical for programmers to be involved in efforts that are temporary in nature and produce a new product, service or result, he said.

University College tailors to non-traditional students, which typically include adult learners who are either returning to college or are pursuing a degree later in life. Bortes online project management course is only eight-weeks long as opposed to a typical 15-week in-person semester.

The part-time and online element allows students to pursue a degree without abandoning their daily responsibilities, Frasciello said.

Having a combination of adult learners in a class allows for students to learn from the experiences of their classmates, Borte said. Students may also find themselves in a class with someone in a profession theyre looking to pursue, Borte said.

The added benefit for everyone in the class, including the instructor, is because there is this combination of adult learners in there, he said. Theyre bringing their experience into the classroom as well.

Students pursuing the degree will also be required to attend one live 90-minute session per week. The requirement is unique and differentiates University College from many other online degree programs, Frasciello said.

Creating the degree, including determining the curriculum and seeking approval from New York state, has been in the works for almost two years now, Frasciello said. The state has just approved the degree.

It does end up being a unique experience, Borte said. Theres a euphoric feeling at the end of the course, this sense of accomplishment that you wouldnt necessarily think that you would get in an online course.

Published on February 24, 2021 at 10:35 pm

Contact Sarah: scalessa@syr.edu | @sarahalessan

Link:

Syracuse University to offer online, part-time computer programming degree - The Daily Orange

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Taking future wireless technology from science fiction to scientific reality – Penn State News

UNIVERSITY PARK, Pa. Self-driving cars that see through obstacles and maneuver accordingly. A sensor that scans a liquid for calorie count and dangerous or poisonous content. A drone that detects exact amounts of soil moisture while hovering above crop fields. All of these futuristic-sounding devices are moving closer to reality, thanks to research being conducted by Mahanth Gowda, assistant professor of computer science and engineering at Penn State, with a three-year, $250,000 National Science Foundation grant.

Gowda is using wireless technology to develop IoTScope, a new system that will identify the material properties of any object by analyzing reflected and refracted radio-frequency (RF) signals similar to ones used for WiFi and cellular communications. To understand how the technology works, Gowda recommends thinking first of how a camera takes a photograph.

Mahanth Gowda works with a graduate student in his lab.

IMAGE: Penn State College of Engineering

When a camera takes an image, its measuring the light that is reflected from the surface of an object, he said. But with sensing with RF signals, even though there are a lot of ambient electro-magnetic RF signals in the environment, they are typically not strong enough to capture and sense like the way we measure light off an object for a photograph. So, what we do here is generate our own RF signals systematically to illuminate the environment and sense it.

Two different methods generate these signals. The first is through a direct send, which occurs when the image of an object is taken through direct reflections. In this scenario, there are two antennas: one for transmitting and one for receiving. The transmitting antenna sends signals that illuminate the environment, and the receiving antenna captures the reflections from the environment. Properties of objects can then be measured by evaluating these reflections.

The second method involves passing a signal through an object to discern its properties.

Imagine that you have a transmitter on one side of an opaque water bottle, and a receiver on the other side of it, Gowda said. Since the water bottle is not transparent, light and visible signals cannot penetrate it, but radio waves can penetrate most non-metallic objects. By measuring the properties of the signals, like how much loss you experience in the signal, how much delay you experience in the signal, you can tell whether this water is, for example, contaminated.

Although Gowda has published preliminary results on the second method, it is still an active area of exploration and a key part of the novelty of his work. He explained that this method could improve the capabilities of self-driving cars.

Self-driving cars commonly use computer vision and sensors like LiDAR (light detection and ranging), he said. But the computer vision and sensors do not work well under adverse weather conditions poor visibility, a lot of snow or in low-light conditions. So, in those situations if we can use radar-based sensing like WiFi kind of signals, and sense reflections from humans and objects and other cars, we should be able to direct them. If you combine vision with signals from radar, you can improve the robustness and reliability of autonomous driving operations.

Gowda said he will use simulations, real-world experiments, data analysis modeling and machine learning approaches as he improves the IoTScope system. He hopes the next steps will be commercialization.

Theres a wide range of industries that might be interested in this kind of technology, he said. Most of the things we are working on very much have a real impact in life with respect to self-driving cars, airports and other types of security and health care applications.

Last Updated February 24, 2021

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60,000 unemployed computer graduates demand appointment of computer science teachers | Computer Science teachers demand to appoint them in government…

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oi- Vishnupriya r

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Updated: Tuesday, February 23, 2021, 23:32 [IST]

Chennai: 60,000 computer teachers have been demanding for a long time that computer science be made a compulsory subject like other subjects and computer teachers be appointed for it.

In this regard, the Secretary General of the Tamil Nadu B.Ed Computer Science Unemployed Graduate Teachers Association has issued a request, the introduction of computer science subject in government schools from 6th to 10th class is welcome. However computer science subject is very important for public school students in todays era.

Computer science subject should be brought as a separate subject and compulsory subject from the first class. In 2011 the computer science subject was introduced as a separate subject in symmetrical education.

But that book is still of no use to students today. Neighboring states like Kerala and Telangana follow our balanced education and make computer science a compulsory subject from class one.

The tenth class can pass only if they have passed the computer science subject in the state examinations. Emphasis is placed on the subject of computer science and computer teachers are appointed accordingly. Thus the enrollment there is increasing year by year. At the request of the Government of Tamil Nadu for many years, the government has been implementing computer science courses from class VI to class X.

Government Program: Additional teachers will be required to teach the computer science subject.

If the Tamil Nadu government refuses to appoint teachers, the subject will be taught by surplus graduate teachers in government schools. They will be given special training for that. We are considering implementing this program from next academic year. The government has said that this will improve students IT knowledge.

Computer Teachers Request: As there are graduate teachers in the respective field to teach subjects like Tamil English Mathematics Science Social Science separately. For this we need to hire people who have been waiting for years to complete a b.ed in computer science and leave without a job.

Nearly 60,000 teachers are unemployed. We need to hire them in government schools and enroll students in computer science.

Not only that but the computer science lesson is very very important for the students of tomorrows society. He has demanded that teachers who have completed b.ed in computer science should be hired rather than training with other teachers.

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Stanford’s Nathan Traxler named 2021 Pac-12 Wrestling Scholar-Athlete of the Year – Pac-12.com

SAN FRANCISCO - STANFORD redshirt senior Nathan Traxler has been named the 2021 Pac-12 Wrestling Scholar-Athlete of the Year, the Conference office announced today. The award, which is presented in each of the 24 sports the Pac-12 sponsors, was established to honor collegiate student-athletes that are standouts both academically and in their sports discipline.

Traxler, a graduate student from St. Charles, Ill., graduated from Stanford in 2020 with a bachelors degree in computer science and a cumulative 3.54 grade-point average. The seventh Stanford wrestler to be named the Pac-12 Scholar-Athlete of the Year, Traxler is currently pursuing his masters degree in computer science and will graduate this spring.

A three-time team captain for Stanford, Traxler has compiled a 74-25 career record as a member of the Cardinal. A three-time NCAA qualifier, he was named a National Wrestling Coaches Association (NWCA) Second Team All-American in 2020. In 2019, he was an individual Pac-12 champion at 197 lbs., leading Stanford to its first Pac-12 team championship in program history. Hes also earned Pac-12 Wrestler of the Week on three separate occasions.

In the classroom, Traxler is a three-time NWCA Scholar All-American (2018, 2019, 2020), a two-time Pac-12 All-Academic First Team honoree (2018, 2019) and a 2020 Pac-12 Academic Honor Roll recipient.

To complement his studies, Traxler has held two software engineering internships at Apple. In 2019, he worked on a team of integral engineering to build and improve tools that are used to efficiently operate Apple data centers across the world. As a full stack engineer, he worked on the frontend and backend of these tools. In 2020, he contributed to a project working on the apple.com search bar, incorporating AppleTV+ content into search results.

In order to be eligible for the Pac-12 Scholar-Athlete of the Year award, student-athletes must be a senior (in athletics eligibility) on track to receive a degree, have a cumulative grade point average of 3.0 or higher, participate in at least 50 percent of the scheduled contests in the sport and have a minimum one year in residence at the institution. Each Pac-12 institution may nominate one individual per sport, and the winners are selected by a committee of Pac-12 staff members at the conclusion of each sports regular season. The athletics accomplishments of the nominees are a consideration in voting for the award.

A Scholar-Athlete of the Year will be named in each of the Pac-12s 24 sponsored sports: baseball, mens basketball, womens basketball, beach volleyball, mens cross country, womens cross country, football, mens golf, womens golf, womens gymnastics, womens lacrosse, mens rowing, womens rowing, mens soccer, womens soccer, softball, mens swimming & diving, womens swimming & diving, mens tennis, womens tennis, mens track & field, womens track & field, womens volleyball, and wrestling. The award was first established during the 2007-08 academic year.

ALSO NOMINATED: Jacob Sieder, CSU Bakersfield; Paul Bianchi, Little Rock.

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UL will play a leading role in educating next generation of computer scientists – Limerick Post

STRIPE, the multi-billion dollar online payment company founded by Limerick bothers Patrick and John Collison, is among the global technology firms that have joined forces with University of Limerick to redefine computer science education.

UL is introducing a new integrated undergraduate and Masters degree in partnership with over a dozen leading tech companies from Ireland and around the world, including Stripe, Analog Devices, Shopify, Zalando, Intercom, and Manna Aero.

With the rapid growth of the internet economy, the Immersive Software Engineering (ISE) programme is designed to meet increased global demand for developer talent.

This is borne out by Stripe co-founder and PresidentJohn Collison who said that there are nowhere near enoughsoftware engineers, despite the fact that they haveincredible careers solving some of the worlds most important problems in the fastest growing industries.

Immersive Software Engineering seeks to provide a great path to beingmore secondary students especially girls into technology, he added.

Software engineers and computer scientists can command high salaries straight out of university with over three quarters of tech companies in Ireland saying the shortage of tech skills is losing them money.

ISE will bring the concept of residencies, which are more common to medical degrees, and use them as a key feature for the first time in computer science education.

Just as trainee doctors apply skills that they have studied in a classroom to the real world, so will ISE students, and theyll be doing it inside some of the worlds most successful tech companies.

Overthe four year course, ISE students will complete five paid residencies, each between three and six months long. Theywill be part of professional teams solving problems like improving access to financial services around the world, fighting the climate crisis, and building next generation instrumentation for healthcare.

The programme, which hasreceived support from Enterprise Ireland, IDA Ireland and venture investors, is designedto attract Irelands elite young talent with all classes held in a purpose builtstudio.

University of Limerick President Professor Kerstin Mey said ULsindustry partners were invaluable in the conception of the programme.

By bringing their industry experience to the benefit of our future graduates and effectively doing something that has never been done before in shaping and changing how computer science is taught in Ireland.

Programme co-directorProfessor Stephen Kinsella said UL wanted the course to change the way Irelands highest performing students think about computer science as a career option.

We want to bring a more diverse audience to computer science and we want ISE graduates to be the premier computer science talent around the world. Were really excited to be able to work with so many great partners to bring this vision to life, he explained.

Analog Devices chief executive Vincent Roche said that the global demand for developing skilled software engineers is growing at an exponential rate.

As we at Analog solve the most challenging real-world problems in areas such as healthcare and industrial, we have an increasing demand for these skillsets and see the need growing in coming years.

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Thinkwell Group Releases Its 6th Annual Guest Experience Trend Report on Artificial Intelligence and Its Future Impact in Location-Based Experiences -…

LOS ANGELES, Feb. 26, 2021 /PRNewswire/ --Thinkwell's 6th Annual Guest Experience Trend Report, released today, explores artificial intelligence (A.I.) and its applications in experiences, breaking down key takeaways and predictions for how A.I. can affect, adapt, and improve the guest experience in museums, theme parks, and beyond. With the prevalence of virtual assistants, smart home devices, and smart digital features in everyday life, the A.I. revolution is already here for consumers. At the same time, A.I. is also becoming more involved in our experiences, and there's no shortage of ideas for what A.I. can achieve and contribute to the guest experience.

With input from a representative sample of more than 1,300 survey respondents, Thinkwell's 6th Annual Guest Experience Trend Reportbreaks down three ideas around the guest experience and integration with A.I., while also exploring the rising demand for technology and personalization.

Three Big Ideas for A.I.:

"The potential to use A.I. for guest, brand, and operator benefit is limitless," says Craig Hanna, Thinkwell's Chief Creative Officer. "Thinkwell is focused on providing innovative, practical, and inclusive solutions to enhance the guest experience in any setting, and A.I. can play a big role in guest experiences and technology decisions as we look to the future."

For Thinkwell's insights, data highlights, and predictions on the future of artificial intelligence and guest experience, read the full report here.

With the collected survey data, Thinkwell has also developed an additional series of "deep dive" articles that breakdown A.I. and its intersection with other related topics and concerns, like racial bias, gender bias, and data security. The first two Deep Dive reports on Racial and Gender Bias and Age Gapsare available now.

Thinkwell's previous Guest Experience Trend Reports have covered a broad range oftopicsincluding: Fan Fests & Live Events, Guest Expectations in LBE, Virtual Reality, Branded IP Experiences, and Mobile in Museums & Cultural Attractions.

About Thinkwell Group

ThinkwellGroup is a global experience design and production agency with studios and offices in Los Angeles,Montral,AbuDhabi, and Beijing. For 20 years, our multi-disciplinary team has created compelling experiences for a wide range of clients and brands around the world.Thinkwell'screative, collaborative teams have extensive experience in the strategy, planning, design, and production of theme parks, destination resorts, major branded and intellectual property attractions, events & spectaculars, museums & exhibits, expos, and live shows. The award-winning company has become a leader in experiential design by bringing a unique holistic approach to every engagement. Thinkwellmost recently deliveredLionsgateEntertainment World and the award-winning Warner Bros. WorldAbuDhabi, the world's largest indoor theme park.Thinkwellcelebrates its 20th anniversary in 2021.

Media Contact:

Katherine Mitchell

Director, Marketing

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AAAI 2021: Accelerating the impact of artificial intelligence – Microsoft

The purposeoftheAssociation for the Advancement of ArtificialIntelligence, according to its bylaws, istwofold.The first is to promote researchin the area ofAI, and the second is to promote theresponsibleuseof these types of technology.Theresult was a35th AAAI Conference on Artificial Intelligence (AAAI-21)schedule thatbroadens the possibilitiesofAI andisheavily reflective ofa pivotal time in AI researchwhenexperts are asking bigger questions about how best toresponsiblydevelop, deploy, and integratethe technology.

Microsoft and its researchers have been pursuing and helping to foster responsible AI for yearsdeveloping innovative AI ethics checklists and fairness assessment tools like Fairlearn, establishing the Aether Committee to make principle-based recommendations, and laying out guidelines for human-AI interaction, to name only a few of the milestones in this area.

As a natural extension, researchers from Microsoft are presenting papers at this years AAAI that show the wide net theyre casting when it comes to developing responsible AI and using it for applications that do good. In How Linguistically Fair are Multilingual Pre-Trained Language Models?, researchers explore the fairness of current large multilingual language models across different languages. More specifically, they uncover how choices have been made about which models are fair and offer strategies for how these decision processes can be improved. Another paper demonstrates how AI can impact both specific industries and global challenges. In Where theres Smoke, theres Fire: Wildfire Risk Predictive Modeling via Historical Climate Data, researchers reexamine how AI can be used to predict wildfires by taking historical, climate, and geospatial data into account to improve modeling.

The belowselectionof AAAI-accepted papersshowcasesspecific advances with the potentialto havefar-reaching impact.AI that empowersallpeopleis the end goal, whether that bethroughbetter communication, better protection oftheirprivacy,orbetter optimization ofeverydayprocessesin specificfields.

For more on whatMicrosoft, asilver sponsor of the conference, and itsresearchers are undertaking when it comes to moving AI forward, explore more at theMicrosoft at AAAI 2021page.

In a nutshell: Reinforcement learning for order execution in quantitative investment.

Going deeper: The paper Universal Trading for Order Execution with Oracle Policy Distillation proposes a novel universal trading policy optimization framework for order execution in quantitative finance. It bridges the gap between noisy yet imperfect market states and optimal action sequences for order execution. Particularly, on one side, this framework leverages a policy distillation method that can better guide the learning of the common policy toward practically optimal execution by an oracle teacher with perfect information to approximate the optimal trading strategy. On the other side, a universal trading policy has been derived from the market data of various instruments, which is more training effective and more general to trade for different instruments.

Potential reach: This work can create an impact in the field of trading optimization in quantitative financial investment. The proposed universal learning-to-trade paradigm could substantially advance trading optimization with potentially significant profit gaining in order execution. The code is available in the Qlib project on GitHub.

First of its kind: To the best of the researchers knowledge, this is the first work to employ policy distillation in reinforcement learning to bridge the gap between imperfect noisy data and optimal action sequences. Moreover, the work shows that direct policy optimization has a great advantage over the traditional model-based financial methods and value-based model-free reinforcement learning methods.

Thepeopleand organizations involved:Kan Ren,Weiqing Liu,Dong Zhou,Jiang Bian, andTie-Yan Liufrom Microsoft ResearchAsia;Yuchen Fang,Weinan Zhang,andYong Yufrom Shanghai Jiao Tong University

Additional resources and related work:

In a nutshell: Want a translation system for languages with no written text? UWSpeech is your choice.

Going deeper: Existing speech-to-speech translation systems rely on the text of target language, and these existing systems cant be applied to unwritten target languages (languages without written text or phonemes). In the paper UWSpeech: Speech to Speech Translation for Unwritten Languages, researchers developed UWSpeech, a translation system for unwritten languages. UWSpeech converts target unwritten speech into discrete tokens with a converter. It then translates source-language speech into target discrete tokens with a translator and, finally, synthesizes target speech from target discrete tokens with an inverter. The researchers propose a method called XL-VAE in UWSpeech to enhance vector quantized variational autoencoder (VQ-VAE) with cross-lingual (XL) speech recognition, in order to train the converter and inverter of UWSpeech jointly.

Potential reach: This research sits broadly within cross-lingual speech translation, which can impact many scenarios where one spoken language needs to be translated into another. Conversations, lectures, international travel, and conferences are all examples where UWSpeech could be utilized. UWSpeech can also help to preserve unwritten languages spoken by a small amount of people.

Extended applications: Although this paper focuses on how UWSpeech can be applied to speech-to-speech translation, it can also be used to improve text-to-speech and speech-to-text translation, showing promising results in both areas. See the paper for more details.

The people and organizations involved:Xu Tan,TaoQin,andTie-Yan Liufrom the Machine Learning Group at Microsoft Research Asia;Chen Zhang, Yi Ren,andKejun Zhangfrom Zhejiang University

Additional resources and related work:

In a nutshell: Watch out! Data augmentation could actually hurt privacy. Stronger membership inference attack reveals where we need to improve protection.

Going deeper: The paper How Does Data Augmentation Affect Privacy in Machine Learning? challenges a common belief that data augmentation can prevent overfitting and hence protect the model from leakage of individual data points. The researchers developed membership inference algorithms that employ augmented instances and achieve state-of-the-art success rates of attacking well-generalized models trained with data augmentation, showing that privacy risk in these deep learning models could be greater than previously thought. Revealing this vulnerability encourages future development of techniques to strengthen the privacy protections of data augmentation as a training method.

Potential reach: The new proposed membership inference algorithms can better evaluate the privacy risk of a model and can hence help prevent other privacy attacks.

Toward better privacy: The end goal is to make a privacy guarantee in real-world machine learning tasks practical.

The people and organizations involved:Huishuai Zhang,Wei Chen,andTie-Yan Liuof Microsoft Research Asia;Da Yu,intern atMicrosoft ResearchAsiaat the time of the workand student atSunYat-Sen University;Jian Yin, Professor atSunYat-Sen University

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In a nutshell:A two-branch convolutional neural network approach tointeractive speech and noise modeling for speech enhancement.

Going deeper: Mainstream deep learningbased speech enhancement mainly predicts speech only, ignoring the characteristics of background noises. However, traditional speech enhancement methods mostly go the opposite way, that is, they model noises with an assumption on noise distributions. The result is that their generalization capability is limited. In the paper Interactive Speech and Noise Modeling for Speech Enhancement, researchers propose the SN-Net, an interactive speech and noise modeling framework for speech enhancement, where speech and noise are simultaneously modeled in a two-branch deep neural network. Several interactions are introduced to help speech estimation benefit from noise prediction, and vice versa. As its challenging to model noises because of the diverse noise types, self-attention is employed in modeling both speech and noise. The SN-Net outperforms the state of the art by a large margin on several public datasets.

Potential reach:This technology can be widelyimpactfulin applications where speech clarity is important, including video recordings, online meetings, and virtual lessons.The research can naturally be extended to usewiththe speaker separation task (see paper for more on this).

Stateoftheart across multiple benchmarks:The researchers tested SN-Net againststate-of-the-artmodels on Voice Bank + DEMAND and the Deep Noise Suppression (DNS)challengedataset.Additionally, researchersconducted a two-speaker speech separation experiment onthe TIMITcorpus, and SN-Net outperforms Conv-TasNet, thestate-of-the-artmethod, for SDR (signal-to-distortionratio) improvement and Perceptual Evaluation of Speech Quality (PESQ). See the paper for a detailed breakdown of these tests.

The people and organizations involved:Xiulian PengandYan Lufrom the Media Computing Group at Microsoft Research Asia; Sriram Srinivasan from Microsoft; and Chengyu Zheng and Yuan Zhang from Communication University of China

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(Bloomberg) -- A rout in Malaysian glove makers is deepening, sending valuations for some companies to rock-bottom levels.Top Glove Corp., the worlds biggest, slid 7.8% in a fifth day of declines Wednesday, taking its February loss to 22%, set to be the worst for any month on record. The stock is trading at about 6 times 12-month forward earnings, from a record high of 43 times in May. Supermax Corp., which surged 784% last year, is down 26% this month and trades at 4.6 times.More than $6 billion in market value has evaporated in February alone for Malaysias top four glove makers as global vaccine rollouts accelerate and short sellers swarm these pandemic winners. Malaysia is starting its own Covid-19 vaccination campaign Wednesday, further dampening sentiment.There is a narrative around re-opening which has definitely impacted sentiment, said Ross Cameron, a Tokyo-based fund manager of Northcape Capital Ltd., who has been investing in glove makers for more than a decade. But the fundamentals for the glove sector remain strong and valuations are as cheap as we have seen for a decade.The slump is a far cry from months ago when glove stocks became one of Asias hottest trades at the height of the global pandemic and helped spur a comeback by amateur investors. That helped catapult volumes in Malaysias stock market to record highs last year.Hartalega Holdings Bhd. is trading below 10 times estimated earnings, down from 60 in June, while Kossan Rubber Industries Bhd.s multiple has dipped to 4.1 times, according to data compiled by Bloomberg.Read more: These Covid Billionaire Fortunes Are Fading With Vaccine RolloutDespite the slump in these glove stocks, Cameron says their prospects remain strong and valuations simply do not reflect this reality.Stocks like Top Glove offer some of the highest sustainable dividend yields in the world, he said. The glove sector was an attractive sector for many years prior to the pandemic, and it will likely be even more attractive in the post-pandemic era.(Updates prices, ratios throughout.)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.2021 Bloomberg L.P.

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