The Computer Science Meet 2023 cordially invites all the participants across the globe to attend the 2nd International Conference on Computer Science, Machine Learning and Big Data which is going to be held during August 17-18, 2023 Dublin, Ireland to share the ideas in globally trending technologies in Machine learning, Big data, Artificial Intelligence and many more.

Why to attend?

With members from around the world focused on learning about Machine learning, Artificial Intelligence, and Big data technologies, this is your single best opportunity to reach the largest assemblage of participants from the Global Information Technology Community. Conduct demonstrations, distribute information, acquire knowledge about current and trending global technologies, make a splash with a new research, and receive name recognition at this 2-days event. World-renowned speakers, the most recent techniques, tactics, and the newest updates in the Machine learning, Artificial Intelligence, and Big data Analytics are the hallmarks of this conference.

Target Audience

  • Scientists/Researchers
  • President/Vice president
  • Chairman’s/Directors
  • Professors, Data Analysts
  • Data Scientists
  • Experts and Delegates etc.
  • Heads, Deans, and Professors of Computer Science Departments
  • Research Scholar
  • Engineers
  • Consultants
  • Lab technicians
  • Founders and employees of the related companies

Track-1: Computer Science and Technology

Computer Science Technology forms the technological structure of recent commerce. Engineering is associate ever- evolving, adding field. It's the drive of each trade and permeates way of life. It's the inflexibility to mix the ability of computing with the management of multimedia system information and is arguably the key to get ascendancy in any field.

  • Scientific computing
  • Computer graphics
  • Algorithmic trading
  • Simulation

Track-2: Artificial intelligence

AI or computer science is the simulation of human intelligence processes by machines, particularly by PC systems. These processes embrace literacy (the accession of data and rules for victimization the information), reasoning and tone- correction. Operations of AI grasp professed systems, speech recognition, and machine vision. Moment, it's A marquee term that encompasses everything from robotic system  robotization to factual AI. Its gained elevation is lately due to the in part, to big data, or to the rise in speed, size, and style of information and businesses square measure which is presently grouping. AI'll perform tasks like distinguishing patterns within the information fresh expeditiously than mortal businesses to realize fresh sapience out of their information.

  •  Robotic process automation
  • Machine vision
  • Natural language processing
  • Robotics

Track-3: Machine learning

Machine learning is a kind of computing (Artificial Intelligence) which permit software system applications to become additionally correct in predicting outcomes while not being expressly programmed. The essential plan of machine learning is to compile algorithms which receive input file associate degree and is used in applied mathematical analysis to foresee an output worth among a satisfactory vary.

  • Machine learning algorithms
  • Supervised learning
  • Unsupervised learning

Track-4: Deep learning

Deep Literacy is associated with the developments in computing power and special feathers of neural networks to check the advanced patterns in a large quantum of knowledge. Deep literacy ways is a square measure, present the state of the art for characteristic objects in filmland and words are in sounds. Experimenters presently anticipate applying these successes in pattern recognition to a lot of advanced tasks like automatic language restatement, medical judgments and different which are necessary in social and business issues.

  • How to build neural networks
  • Convolutional networks
  • RNNs, LSTM, Adam, Dropout, BatchNorm
  • Xavier/He initialization

Track-5: Artificial intelligence applications

A.I. is getting used currently by businesses in both huge and bits. About what proportion of effect will the A.I on our future and in what ways will it be succeeded in our day- to- day life? Once A.I. really blossoms, what proportion of enhancement can it have on the present duplications of this technology.

  • AI in healthcare
  • AI in business
  • AI in education
  • AI in finance
  • AI in manufacturing

Track-6: Big data

Big information may be a term that describes the big volume of information each structured and unshaped that inundates a business on a day- after- day base. Still, it’s not the number of information that’s necessary. It's what associations do with the information that matters. Big Data information will be analyzed for perceptivity that cause advanced selections and strategic business moves. The number of information that’s being created and hold on a world position is nearly unbelievable, and it simply keeps growing. Meaning there’s indeed a lot of implicit to harvest crucial perceptivity from business information nevertheless solely a little share of information is anatomized. What will that mean for businesses. Still, they will produce advanced use of the raw word that flows into their associations each day.

  • Streaming data
  • Social media data
  • Publicly available sources

Track-7: Big data analytics

Artificial Intelligence (AI), mobile, social and Internet of effects (IoT) are driving information complicatedness, new forms and sources of knowledge. Big Data analytics is that the use of advanced logical ways against terribly giant, multitudinous information sets that embrace structured, semi-structured and unshaped information, from completely different sources, and in several sizes from terabytes to zettabytes. Analyzing huge information permits judges, experimenters, and business druggies to produce advanced and quicker selections victimization information that was formerly inapproachable or unworkable. Victimization advanced analytics ways like textbook analytics, machine literacy, prognostic analytics, data processing, statistics, and language process, businesses will analyze formerly untapped information sources freelance or at the side of their existing enterprise information to realize new perceptivity leading to advanced and quicker selections.

  • Big data Hadoop
  • Apache
  • Scala
  • Spark

Track-8: Data Mining

Data mining is thought of a superset of the numerous different strategies to extract perceptivity from knowledge. It would involve ancient applied mathematics strategies and machine literacy. Data processing applies strategies from numerous indispensable areas to spot formerly unknown patterns from knowledge. This could embody applied mathematics, algorithms, machine literacy, textbook analytics, statistical analysis and indispensable areas of analytics. Data processing jointly includes the study and follows the knowledge of storehouse and data manipulation.

  • High-performance data mining algorithm
  • Data Mining in Healthcare data
  • Medical Data Mining

Track-9: Cloud computing

The foundation of data analytics in cloud computing is pall computing itself. Cloud Computing is made around a series of tackle and computer law that may be ever accessed through any web cyber surfer. Generally, lines and computer law area unit shared and worked on by multiple users and everyone knowledge is ever centralized rather than being held on users’ onerous drives.

  • IoT on Cloud Computing
  • Fog Computing
  • Cognitive Computing

Track-10:  Data analytics in cloud

Businesses have used data analytics to help their strategy to maximize gains. Immaculately, information analytics helps to eliminate a lot of the estimate concerned in making an attempt to know purchasers, rather systemically following information patterns to stylish construct business ways and operations to reduce query. Not solely will analytics verify what may attract new guests, generally, analytics acknowledges being patterns in information to help advanced serve being guests, that's generally less precious than establishing a relief business. In an associate degree dynamic business world subject to uncounted variants, analytics provides enterprises the sting in feting dynamical climates, in order that they will take initiate applicable action to remain competitive.

  • Software as a service (SaaS)
  • Best uses of Data analytics in cloud
  • Future of Data analytics in cloud

Track-11: Cloud computing in E-commerce

Distributed computing may be a style of Internet- based imagining that offers participated handling resources and knowledge to PCs and in discrepancy to bias on attention. It’s a typical for authorizing pervasive, on- interest access to a typical pool of configurable registering means which might be quickly provisioned and discharged with insignificant administration plod. Distributed calculative and volume medications give shoppers and gambles with completely different chops to store and procedure their data in stranger data trots. It depends on sharing of means to negotiate rationality and frugality of scale, kind of a mileage over a system.

  • Microsoft Azure Cloud Computing
  • Amazon Web Services
  • Google Cloud
  • Cloud Automation and Optimization

Track-12: Business Intelligence

The competitive intelligence might be a technology- driven methodology for Analyzing data and presenting unjust information to help directors, managers, and different company end users to produce enlightened businesses selections. Business intelligence will be employed by enterprises to support a large vary of business choices- starting from functional to strategic. Introductory functional choices embody product positioning or valuation. Essence encompasses a decent kind of tools, operations, and methodologies that separate the pots to collect information from internal and external sources; prepare it for analysis; develop and activate queries against the data; and make reports, dashboards and knowledge visualizations to make the logical results on the request to the commercial decision- makers, likewise as functional staff.

  • Why BI is important?
  • Types of BI tools
  • BI trends
  • BI for Big data

Track-13: SAP SAS (Statistical Analysis System)

SAP is ERP (Enterprise Resource Planning) software while SAS is an analytics package developed by SAS (Statistical Analysis System) institute. It was founded by James Goodnight and several Associates in 1976 from North Carolina State University. Presently, it's used as an integration of software products that enables anyone to perform Data Manipulation, Statistical and fine analysis, Planning, soothsaying and decision Support, Report Writing and Graphics, Quality Improvement, Applications Development, Web Reporting, Data Entry, Retrieval, and Management, Data Warehousing and Data Mining. SAS runs on both Windows and UNIX platforms.

  • SAS Administrators
  • Customer Intelligence
  • Data Management
  • Risk Management

Track-14: Iot (Internet of things)

New intelligent effects generally constitute 3 orders robots, drones and independent vehicles. Every one of these areas can evolve to impact a bigger section of the request and support a brand-new section of digital business; still, these represent just one aspect of intelligent effects. Existing effects together with internet of effects (IoT) bias can become intelligent effects delivering the installation of AI enabled systems each over together with the house, office, manufacturing factory bottom, and medical installation. The forthcoming revolution of the Internet- of- effects (IoT) and ensuring connectedness of sensible home technology for times.

  • Why IOT?
  • What is the scope of IOT?
  • How can IOT help?

Track-15: Augmented reality (AR) and Virtual reality

Virtual reality (VR) associated augmented reality (AR) rework the way people move with one another and with package systems making an immersive setting. For case, VR will be used for guiding situations and remote experiences. AR, that allows a mixing of the important and virtual worlds, means that businesses will overlay graphics onto real- world objects, like hidden cables on the image of a wall. Immersive experiences with AR and VR area unit reaching tipping points in terms of value and capability, still, it will not replace different interface models. Over time AR and VR expand on the far side visual immersion to incorporate all mortal senses.

  • Object recognition
  • Virtual fixture
  • Computer-mediated reality

Cloud Security Market was valued at USD 6.76 billion in 2019 and is projected to reach USD 37.69 billion by 2027, growing at a CAGR of 25.86% from 2020 to 2027.

The global market for hospital information systems (HIS) is estimated to grow from $22.4 billion in 2021 to reach $34.7 billion by 2026, at a compound annual growth rate (CAGR) of 9.2% during the forecast period of 2021-2026.

List of universities in Dublin:


To share your views and research, please click here to register for the Conference.

To Collaborate Scientific Professionals around the World

Conference Date August 17-18, 2023
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