#data science conference

[saiconferences]

Join top Cyber Security Conferences

Stay updated on emerging cyber threats and defense strategies. Network with global professionals and industry pioneers. Secure your spot today and enhance your cybersecurity expertise!

Contact Us :- Call :- 9990902003 Email :- FICC@SAIConference.com For Register :-https://saiconference.com/ficc

[casbitchh]

being good at my job is weird. i decided on friday to look at some voyager 2 data like dig into 40 year old data and i just knew how to do it. they’re going to let me organise a conference.

[the-awesomecosmos-studies]

Day 52/100 days of productivity | Thu 11 Apr, 2024

Had lots of meetings at work

Finished my coding task for Friday

Practiced for my conference presentation next week

Continued working on my blog article

[jcmarchi]

Elaine Liu: Charging ahead

New Post has been published on https://thedigitalinsider.com/elaine-liu-charging-ahead/

Elaine Liu: Charging ahead

MIT senior Elaine Siyu Liu doesn’t own an electric car, or any car. But she sees the impact of electric vehicles (EVs) and renewables on the grid as two pieces of an energy puzzle she wants to solve.

The U.S. Department of Energy reports that the number of public and private EV charging ports nearly doubled in the past three years, and many more are in the works. Users expect to plug in at their convenience, charge up, and drive away. But what if the grid can’t handle it?

Electricity demand, long stagnant in the United States, has spiked due to EVs, data centers that drive artificial intelligence, and industry. Grid planners forecast an increase of 2.6 percent to 4.7 percent in electricity demand over the next five years, according to data reported to federal regulators. Everyone from EV charging-station operators to utility-system operators needs help navigating a system in flux.

That’s where Liu’s work comes in.

Liu, who is studying mathematics and electrical engineering and computer science (EECS), is interested in distribution — how to get electricity from a centralized location to consumers. “I see power systems as a good venue for theoretical research as an application tool,” she says. “I’m interested in it because I’m familiar with the optimization and probability techniques used to map this level of problem.”

Liu grew up in Beijing, then after middle school moved with her parents to Canada and enrolled in a prep school in Oakville, Ontario, 30 miles outside Toronto.

Liu stumbled upon an opportunity to take part in a regional math competition and eventually started a math club, but at the time, the school’s culture surrounding math surprised her. Being exposed to what seemed to be some students’ aversion to math, she says, “I don’t think my feelings about math changed. I think my feelings about how people feel about math changed.”

Liu brought her passion for math to MIT. The summer after her sophomore year, she took on the first of the two Undergraduate Research Opportunity Program projects she completed with electric power system expert Marija Ilić, a joint adjunct professor in EECS and a senior research scientist at the MIT Laboratory for Information and Decision Systems.

Predicting the grid

Since 2022, with the help of funding from the MIT Energy Initiative (MITEI), Liu has been working with Ilić on identifying ways in which the grid is challenged.

One factor is the addition of renewables to the energy pipeline. A gap in wind or sun might cause a lag in power generation. If this lag occurs during peak demand, it could mean trouble for a grid already taxed by extreme weather and other unforeseen events.

If you think of the grid as a network of dozens of interconnected parts, once an element in the network fails — say, a tree downs a transmission line — the electricity that used to go through that line needs to be rerouted. This may overload other lines, creating what’s known as a cascade failure.

“This all happens really quickly and has very large downstream effects,” Liu says. “Millions of people will have instant blackouts.”

Even if the system can handle a single downed line, Liu notes that “the nuance is that there are now a lot of renewables, and renewables are less predictable. You can’t predict a gap in wind or sun. When such things happen, there’s suddenly not enough generation and too much demand. So the same kind of failure would happen, but on a larger and more uncontrollable scale.”

Renewables’ varying output has the added complication of causing voltage fluctuations. “We plug in our devices expecting a voltage of 110, but because of oscillations, you will never get exactly 110,” Liu says. “So even when you can deliver enough electricity, if you can’t deliver it at the specific voltage level that is required, that’s a problem.”

Liu and Ilić are building a model to predict how and when the grid might fail. Lacking access to privatized data, Liu runs her models with European industry data and test cases made available to universities. “I have a fake power grid that I run my experiments on,” she says. “You can take the same tool and run it on the real power grid.”

Liu’s model predicts cascade failures as they evolve. Supply from a wind generator, for example, might drop precipitously over the course of an hour. The model analyzes which substations and which households will be affected. “After we know we need to do something, this prediction tool can enable system operators to strategically intervene ahead of time,” Liu says.

Dictating price and power

Last year, Liu turned her attention to EVs, which provide a different kind of challenge than renewables.

In 2022, S&P Global reported that lawmakers argued that the U.S. Federal Energy Regulatory Commission’s (FERC) wholesale power rate structure was unfair for EV charging station operators.

In addition to operators paying by the kilowatt-hour, some also pay more for electricity during peak demand hours. Only a few EVs charging up during those hours could result in higher costs for the operator even if their overall energy use is low.

Anticipating how much power EVs will need is more complex than predicting energy needed for, say, heating and cooling. Unlike buildings, EVs move around, making it difficult to predict energy consumption at any given time. “If users don’t like the price at one charging station or how long the line is, they’ll go somewhere else,” Liu says. “Where to allocate EV chargers is a problem that a lot of people are dealing with right now.”

One approach would be for FERC to dictate to EV users when and where to charge and what price they’ll pay. To Liu, this isn’t an attractive option. “No one likes to be told what to do,” she says.

Liu is looking at optimizing a market-based solution that would be acceptable to top-level energy producers — wind and solar farms and nuclear plants — all the way down to the municipal aggregators that secure electricity at competitive rates and oversee distribution to the consumer.

Analyzing the location, movement, and behavior patterns of all the EVs driven daily in Boston and other major energy hubs, she notes, could help demand aggregators determine where to place EV chargers and how much to charge consumers, akin to Walmart deciding how much to mark up wholesale eggs in different markets.

Last year, Liu presented the work at MITEI’s annual research conference. This spring, Liu and Ilić are submitting a paper on the market optimization analysis to a journal of the Institute of Electrical and Electronics Engineers.

Liu has come to terms with her early introduction to attitudes toward STEM that struck her as markedly different from those in China. She says, “I think the (prep) school had a very strong ‘math is for nerds’ vibe, especially for girls. There was a ‘why are you giving yourself more work?’ kind of mentality. But over time, I just learned to disregard that.”

After graduation, Liu, the only undergraduate researcher in Ilić’s MIT Electric Energy Systems Group, plans to apply to fellowships and graduate programs in EECS, applied math, and operations research.

Based on her analysis, Liu says that the market could effectively determine the price and availability of charging stations. Offering incentives for EV owners to charge during the day instead of at night when demand is high could help avoid grid overload and prevent extra costs to operators. “People would still retain the ability to go to a different charging station if they chose to,” she says. “I’m arguing that this works.”

[pier-carlo-universe]

rande successo per la Conferenza Esri Italia 2025: due giornate tra intelligenza artificiale, digital twin e la presentazione del libro sui viaggi di Papa Francesco. Scopri di più su Alessandria today.

[bigdatasummitcanada]

Machine Learning And Big Data: Key Innovations From Big Data Summit Canada

Machine learning and big data have become integral to modern business strategies, transforming how organisations operate, make decisions, and interact with customers. At the Big Data Summit Canada, attendees are introduced to the latest innovations in these fields, gaining insights into how businesses can harness the power of machine learning to analyse vast datasets and improve operational efficiency.

The Role of Machine Learning in Big Data

Machine learning has revolutionised the way businesses process and analyse data. Rather than relying on traditional methods of data analysis, machine learning allows systems to learn from large datasets and automatically make predictions or decisions based on patterns it detects. At the Data Analytics Summit, experts explore how businesses can implement machine learning models to uncover hidden insights and optimise processes.

At the summit, speakers highlight real-world applications where machine learning has made significant improvements. For instance, industries like healthcare, finance, and retail are using machine learning algorithms to improve customer segmentation, predict market trends, and even detect fraudulent activities. With machine learning, businesses can unlock the true potential of big data, turning complex and voluminous information into actionable insights.

Innovations in Big Data Analytics

Big data analytics is another focal point at the Big Data Summit Canada. The summit dives deep into how businesses can manage and analyse massive amounts of data more efficiently. Innovations in big data tools and platforms, such as cloud-based solutions and advanced data visualisation techniques, are making it easier for companies to handle large datasets. These innovations allow businesses to make faster, data-driven decisions, improving customer experiences and driving growth.

One notable trend showcased at the summit is the integration of machine learning with big data analytics. This combination allows businesses to create more accurate models for predictive analysis, enabling proactive decision-making. The ability to automate data analysis through machine learning not only improves speed but also enhances accuracy, ensuring better outcomes for businesses.

AI Conference Canada: Exploring the Future of AI

In addition to big data and machine learning, the AI Conference Canada is another key highlight at the summit. Here, industry leaders present the latest advancements in artificial intelligence and its impact on big data. AI’s potential to process and analyse data more efficiently is making it indispensable for businesses looking to stay competitive in a data-driven world. From automation to personalisation, AI is helping companies deliver enhanced services and achieve more accurate insights from their data.

Conclusion

The Big Data Summit Canada offers a unique opportunity for data professionals to explore cutting-edge innovations in machine learning and big data analytics. With real-world applications and expert insights, attendees can learn how to leverage these technologies to transform their organisations. Whether through machine learning or AI, the future of big data is bright, and the summit provides the knowledge needed to stay ahead in this rapidly evolving field.

[counselor-nico]

Gethsemane Enertech ERP Solution: Revolutionizing Energy Efficiency through AI, IoT & Data Science

Overview of Energy Efficiency in Ghana and Africa Energy efficiency is increasingly becoming a focal point in the energy sector, particularly in developing regions like Ghana and Africa, where energy demand is growing rapidly due to economic expansion and population growth. In these regions, energy efficiency is not just about reducing costs but also about enhancing energy security, reducing…

[wickedhawtwexler]

“new york is where all the misfits and black sheep go” sounds so corny until it’s a 40-something gay man saying this to you while drunk. then it feels so real

[gentlemans-code20]

#EventMe - Artificial Intelligence Conference 2023

The Artificial Intelligence Conference in South Africa is a major event focusing on the practical applications of AI for businesses. It aims to assist business leaders, data scientists, and engineers in effectively implementing their AI projects.

[saiconferences]

Join Data Science Conference for Cutting-Edge Insights

Experience the renowned Data Science Conference by SAI Conference, where experts explore advancements in AI, machine learning, and big data. Engage with groundbreaking research and innovative ideas driving data-driven decision-making. Don't miss this opportunity to network with global professionals and expand your knowledge of the latest trends shaping the future of data science.

Contact Us :- Email :- FICC@SAIConference.com For Register :-https://saiconference.com/ficc

[yz]

The man. The legend. Neil deGrasse Tyson speaking at Domino Data Lab’s Rev4 conference. June 1, 2023.

Animated.

[the-awesomecosmos-studies]

Days 56-64 days of productivity | Mon 15 - Tue 24 Apr, 2024

Aaahhh the last week was pure chaos and I wasn’t able to do daily updates! Here’s a big list of everything productive and fun in the last week and a half!

Presented my work project to our stakeholders, who liked it and gave good feedback

Attended the conference I’ve been preparing for weeks

My friend from California who I met at this conference last year also attended this year, we finally caught up IRL

Presented my presentation and poster (finally), it went really well

In a long turn of events, I now have a new boss, and he’s very nice

Announced on my other social medias that I accepted my PhD offer and will be starting this Fall!

Went to a yoga class at a boutique studio with my California conference friend using ClassPass

Ordered cake from my baker neighbor to celebrate my conference presentation and grad school acceptance

Went shopping for my graduation outfit, I got a mid-calf dress that has blue floral embroidery on net

My parents ordered my graduation gift (a new watch), it finally got here and looks amazing

Organized my mail app on my computer

Re-migrated from Chrome to Firefox

Attended a half-day forum on computer vision

Worked on a lot of work things, I don’t have a lot of time but have a lot of things to do lol

Spring is here and so is hayfever, I am d y i n g

[karadin]

While you were sleeping ...

Federal judge puts back funding to USAID

Federal judge demands US put back health related federal websites

Judge Tanya Chutkan investigating Elon Musk's ability to run DOGE

The Department of Energy blocks firings of hundreds of employees who work for a key agency maintaining the U.S. nuclear weapons stockpile

Federal judge stops Trump from sending detainees to Cuba

Federal judge stops Trump from shutting down Consumer Protection Agency

DOGE now at CMS which covers Medicare, Medicaid, the Children's Health Insurance Program, and the Health Insurance Marketplace and are allied with Rachel Riley who worked at privatizing healthcare under Trump's first term.

Trump seeks to gut the National Oceanic and Atmospheric Administration and privatize the nation's weather reports and news

Judge blocks DOGE from sensitive Treasury Dept payment system, system being studied and re-programmed after DOGE invasion. expected to finish in August 25.

DOGE database on DOGE site found compromised, anyone can open and edit

Hundreds of federal workers illegally 'fired' from FEMA, DHS, CIS, CPA, the Coast Guard, USCIS, DHS' Science and Technology Directorate, the VA, Education and the US Forestry Service as well as half of the CDC Epidemic Intelligence Service, The Indian (Native American) Health Service. Centers for Medicare and Medicaid Services and the National Institutes for Health, HUD and NOAA.

There have been illegal mass firings of 'probationary' federal employees, those who have just taken on jobs up to those who have were hired 2 years ago.

After seven prosecutors quit refusing to give a Trump deal to NYC mayor, prosecutors put into room and all told they would be fired unless a prosecutor signed off on the deal - Eric Adams case has been dropped and as a result, Adams is allowing Trump immigration to invade NYC.

Trump signs order to block funding for schools that mandate Covid vaccines

Trump has already captured funds to house the homeless in NYC that were disbursed by FEMA

Elon Musk has charged the US gov 16 million to hack at government departments so far.

Elon Musk was granted a 400million deal to sell the US gov cybertrucks

Elon Musk is now going after NASA, despite being a contractor for NASA, Trump says Musk will 'police' his own conflicts of interest.

Trump inserts himself into 'negotiations' between Russia and Ukraine, siding with Russia and not guaranteeing that Ukraine will return to pre-war borders.

Apparently at negotiations, US handed President Zelenskyy a note (mafia style) seeking half of Ukraine's mineral rights, which Zelenskyy refused to acknowlege.

at Munich Security Conference VP Vance pushes the right-wing in Europe, shocking and angering NATO allies, changing US policy towards Putin and China. Trump now says there is no US intent to 'beat China'.

FAKE DOGE 'employees' appear in San Francisco city hall demanding access to state systems and data, leaving when confronted.

Trump makes himself head of the Kennedy Center for the Arts many staff resign and many artist pull out of sold-out shows.

[mentalknot]

Why is it that, for math out of all fields, people won’t even take a moment to hear about our work, regardless of how much we strive to relate these topics to their interests…

“Oh I was never good at math, you have fun though—”

I was about to tell you about mathematical patterns in art — how conferences can be filled with beautiful concerts and board games galore…

“Whelp, you lost me after the first sentence… calculus was never my thing—”

You have a PhD in data science… but refuse to even look at the fascinating graph-theoretical patterns that inspire the models you used in your thesis? There are other types of math—

You don’t need to like math; we don’t expect you to! We simply want to share our interests without feeling like an alien, and we want to hear yours as well!

What has happened to boundless academic wonder?

[bigdatasummitcanada]

The Future Of Big Data: Trends To Watch At Big Data Summit Canada 2025

As the world becomes increasingly digital, Big Data continues to shape the future of business, technology, and innovation. The Big Data Summit Canada 2025 promises to showcase the latest trends and advancements in this exciting field, highlighting how organisations can leverage Data Analytics For Business to enhance efficiency and decision-making. Attendees will gain insights from industry leaders and experts on the future of data and its transformative power.

The Rise of Predictive Analytics

One of the key trends to watch at the Big Data Summit Canada 2025 is the growing use of predictive analytics. This technology enables businesses to anticipate customer needs, market trends, and operational challenges before they occur. By integrating Data Analytics For Business, organisations can make data-driven decisions that enhance profitability and efficiency. Experts will discuss how predictive models, powered by big data, are changing the way businesses approach marketing, customer service, and product development.

Data Integration and Collaboration

As businesses collect data from a wide range of sources, integrating and analysing that data is becoming more complex. In 2025, the focus will be on breaking down silos and improving collaboration across departments. By using advanced data management tools, companies can centralise their data and ensure that all teams have access to real-time insights. The Data And AI Summit will showcase how businesses are using AI and machine learning to manage and interpret vast amounts of data, leading to more informed decisions.

AI and Automation in Data Analysis

Another exciting trend at the Big Data Summit Canada 2025 is the growing role of artificial intelligence (AI) in data analysis. AI technologies allow businesses to automate data processing and analysis, enabling faster insights and decision-making. This will be a major topic at the Data And AI Summit, where experts will discuss how AI-driven tools are enhancing data analysis capabilities and improving customer experience. From chatbots to predictive maintenance, AI is transforming how businesses interact with and use data.

The Importance of Data Privacy and Security

As businesses become more reliant on data, protecting customer information is a top priority. In 2025, data privacy and security will be a key focus at the Big Data Summit Canada. Attendees will learn how to navigate the challenges of data protection and compliance with evolving regulations. Experts will provide strategies for securing sensitive data and ensuring businesses meet privacy standards while leveraging the full potential of Data Analytics For Business.

Conclusion

The Big Data Summit Canada 2025 will offer a glimpse into the future of data and AI, showcasing how businesses can use Data Analytics For Business to drive growth and innovation. From predictive analytics to AI-driven insights, the trends discussed at the summit will shape how organisations operate in the coming years. By staying ahead of these developments, businesses can ensure they are well-positioned to thrive in the digital age.

[chase-solidago]

NOW HIRING - Special Projects Assistant

Chicago Residency at time of job start required

Join the Rethinking Lawns Research Team (http://rethinkinglawns.com) and study the impacts of lawns and their potential alternatives in Chicago! Lead field experiments, manage experimental sites, and collect and manage data. Ideal candidate will have experience in project coordination and ecological field work.

Full description under the cut!

The Chicago Park District is seeking an experienced candidate to join our Natural Areas team, a part of the Park District’s Department of Cultural and Natural Resources. The Special Projects Assistant will be a member of the Rethinking Lawns project, a multi-disciplinary team exploring the ecological and ecosystem services benefits of traditional lawns, natural areas, and native, short-statured lawn replacement plantings. More information about the project can be found at rethinkinglawns.com. The ideal candidate will have experience in project coordination and ecological field work, preferably in a leadership capacity.

Key responsibilities include leading a team of seasonal research assistants in collecting data on plant cover, pollinator visitation, water infiltration, temperature, and soils at sites throughout Chicago and at the Chicago Botanic Garden. The Special Projects Assistant will participate in regular project coordination meetings with the research team, and oversee scheduling, coordination, communication, and data entry. They will also regularly interact with landscaping contractors, colleagues and the project team regarding installation and maintenance of plantings. Exceptional candidates will have some experience in data management, and analysis using R, and/or GIS. There are opportunities to present at local and national conferences. Local travel to field sites is required.

Desired Qualifications:

Bachelor's degree in Biology, Environmental Science, or a related field, or a combination of education and experience.

Knowledge of ecological principles and practices.

Ability to research information and prepare clear written or oral reports.

Ability to relate to field personnel and community groups, particularly in an urban setting.

Data entry, writing, computer skills.

Knowledge of contemporary research and communication practices. 

City of Chicago residency is required at time of job start.

This position is based out of North Park Village (5801 N. Pulaski Rd.) and includes frequent citywide travel.