Data Science Dojo

FEBRUARY 18, 2023

This blog outlines a collection of 12 AI tools that can assist with day-to-day activities and make tasks more efficient and streamlined.  The development of Artificial Intelligence has gone through several phases over the years. In the 1970s and 1980s, AI research shifted to knowledge-based systems and expert systems.

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Hacker News

NOVEMBER 30, 2023

A chief goal of artificial intelligence is to build machines that think like people. Researchers have asserted these models' limitations in the domains of causal reasoning, intuitive physics, and intuitive psychology. Yet it has been argued that deep neural network architectures fail to accomplish this.

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Dataconomy

MARCH 18, 2024

In a discreet move, Apple’s research team has published a document shedding light on the company’s advancements in MM1, a suite of advanced multimodal large language models. The researchers at Apple are convinced they have achieved a significant milestone in training models to interpret both images and text.

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Dataconomy

NOVEMBER 21, 2023

Nowadays, artificial intelligence has become an integral part of everyday life, penetrating into various aspects of society and business. Developers and researchers face a number of complex problems that require deep understanding and solutions – we will talk about this with Egger Mielberg, the founder of Arllecta.

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NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Data Science Dojo

NOVEMBER 3, 2023

These models are at the forefront of advancements in artificial intelligence and natural language processing. Link to channel   IBM Technology This channel includes several talks and tutorials pertaining to machine learning and generative AI. Subscribe now and start learning.

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Data Science Dojo

NOVEMBER 3, 2023

These models are at the forefront of advancements in artificial intelligence and natural language processing. Link to channel   IBM Technology This channel includes several talks and tutorials pertaining to machine learning and generative AI. Subscribe now and start learning.

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KDnuggets

AUGUST 15, 2019

The positions require research and teaching expertise in AI/Data Science, or related areas including Data Extraction, Data Visualization, Machine Learning, and Intelligent Actuators.

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Towards AI

FEBRUARY 5, 2024

Artificial intelligence (AI) has become one of the most fascinating areas in today’s fast-paced world. We know that artificial intelligence can seem overwhelming in many ways, especially with so many buzzwords. To achieve this, AI needs massive data to train machine learning models. From research to projects and ideas.

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Dataconomy

MAY 10, 2024

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives.

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Data Science Dojo

NOVEMBER 3, 2023

These models are at the forefront of advancements in artificial intelligence and natural language processing. Link to channel   IBM Technology This channel includes several talks and tutorials pertaining to machine learning and generative AI. Subscribe now and start learning.

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NYU Center for Data Science

MARCH 15, 2023

The recent iteration of the free online course focuses on introductory lectures in artificial intelligence and machine learning With the goal of improving access to artificial intelligence education, the NYU AI School offers a free week-long machine learning course, including lectures, labs, and panel discussions with leading AI experts.

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Data Science Dojo

MARCH 6, 2024

Artificial Intelligence (AI) has a multifaceted impact on society, ranging from the transformation of industries to ethical and environmental concerns. AI holds the promise of revolutionizing many areas of our lives by increasing efficiency, enabling innovation, and opening up new possibilities in various sectors. Kevin Castel.

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NYU Center for Data Science

JUNE 8, 2023

The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. It includes hands-on labs and lectures taught by renowned researchers in the fields of artificial intelligence and machine learning.

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Dataconomy

NOVEMBER 23, 2023

In a bold move preceding CEO Sam Altman’s temporary departure, a group of the company’s researchers penned a crucial letter to the board of directors. The success in these initial mathematical tasks has sparked considerable optimism among researchers about the potential capabilities of Q-Star.

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Dataconomy

MARCH 18, 2024

Apple’s recent acquisition of an AI startup sheds light on the corporation’s strategic direction for artificial intelligence come 2024. These tools necessitate large language models (LLMs) and the infrastructure to produce content from such models, an area where Apple has seen slower progress compared to its aspirations.

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NYU Center for Data Science

MARCH 1, 2024

This unique intersection of the Center for Data Science (CDS) and the Center for Neural Science is where the future of artificial intelligence (AI) begins to take shape, informed by the intricate workings of neural circuits. COSYNE 2024 Edition ” workshop at the Cosyne conference in Lisbon this weekend.

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Dataconomy

APRIL 12, 2023

Artificial intelligence vs cognitive science – two fields of study that are often seen as distinct, yet they share a common goal: to understand human intelligence and behavior. What is artificial intelligence (AI)? How do we use language to communicate and think? How do we reason and make decisions?

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Dataconomy

JULY 10, 2023

Decision intelligence plays a crucial role in modern organizations, enabling them to navigate the intricate and dynamic business landscape of today. Leveraging a combination of data, analytics, and machine learning, it emerges as a multidisciplinary field that empowers organizations to optimize their decision-making processes.

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Hacker News

APRIL 25, 2024

AI Meets BitTorrent There are areas where innovation and technological progress still lead today, mostly centered around artificial intelligence. Interestingly, an ‘old’ research group, that was already active during BitTorrent’s heyday, is now using AI to amplify its technology.

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IBM Journey to AI blog

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Imagine a self-driving car piloted by an AGI.

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Dataconomy

JANUARY 3, 2024

AI and machine learning have undoubtedly captured the attention of the tech world and we are closer to AI-quantum computing than we thought. The buzz around AI and machine learning isn’t just hype anymore; it’s the soundtrack to a rapidly evolving landscape. But what happens when these two giants collide?

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Towards AI

JULY 15, 2023

The goal is to keep you up to date with machine learning projects, research papers, and concepts. From research to projects and ideas. OpenAI opened the floodgates to this space with models like… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Flipboard

JANUARY 3, 2024

(Pacific Northwest National Laboratory Photo / Andrea Starr) Bringing artificial intelligence to bear on issues relating to nuclear weapons might sound like the stuff of a scary sci-fi movie — but at the Department of Energy’s Pacific Northwest National Laboratory , it’s just one of the items on the to-do list.

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Dataconomy

APRIL 12, 2024

It’s not just about teaching a machine to talk; it’s about teaching it to think. This evolution reflects a deeper comprehension of machine learning models and their interaction patterns. Content creation is another area where prompt engineering has made a significant impact. What is prompt engineering?

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Dataconomy

MARCH 26, 2024

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. However, ethical concerns have risen to dominate as these artificial intelligence systems including machine learning algorithms penetrate our daily lives.

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DrivenData Labs

MARCH 26, 2024

For example, honorable mention winner Data Science Nigeria combined satellite imagery with reports of violent incidents from ACLED to better identify areas at high risk of hunger. an initiative that seeks to simplify the code documentation process for software developers by utilizing machine learning for automation. He holds a B.S.

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Dataconomy

MAY 4, 2023

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. In this rapidly evolving field, machine learning is poised to drive significant advancements in healthcare, improving patient outcomes and enhancing the overall healthcare experience.

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Dataconomy

JUNE 15, 2023

The timeline of artificial intelligence takes us on a captivating journey through the evolution of this extraordinary field. It all began in the mid-20th century, when visionary pioneers delved into the concept of creating machines that could simulate human intelligence.

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Data Science Dojo

MARCH 6, 2024

Artificial Intelligence (AI) has a multifaceted impact on society, ranging from the transformation of industries to ethical and environmental concerns. AI holds the promise of revolutionizing many areas of our lives by increasing efficiency, enabling innovation, and opening up new possibilities in various sectors. Kevin Castel.

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Dataconomy

FEBRUARY 21, 2024

Built upon the foundational research powering Google’s impressive Gemini models , Google Gemma AI is part of the company’s ongoing commitment to open-source AI development. Let’s explore some key areas where Gemma 2B shines. This saves time and increases efficiency for students, researchers, and professionals alike.

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Data Science Dojo

APRIL 18, 2024

While humans can use language to understand each other, in today’s digital world, they must also interact with machines. The answer lies in large language models (LLMs) – machine-learning models that empower machines to learn, understand, and interact using human language. trillion tokens. With only 2.7

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NYU Center for Data Science

JULY 21, 2023

The Minds, Brains, & Machines Initiative: Driving Innovation at the Intersection of Natural and Artificial Intelligence The studies of biological and artificial intelligence, which have spent the occasional decade pretending not to have much to say to each other, are entering, thanks to the current wave of AI progress, a new symbiosis.

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Flipboard

APRIL 8, 2023

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has assembled a year’s worth of AI data providing a comprehensive picture of today’s AI world, as they have done annually for six years. For those of you as eager to pour through the entire 2023 Artificial Intelligence Index Report as I was, you can dive in here.

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Dataconomy

JULY 4, 2023

Tools for process mining and task mining, which help identify and prioritize areas where automation can be applied Automation development tools that make it easier and more cost-effective to build automation. Additionally, organizations can extend the power of automation by incorporating AI and machine learning in different ways.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. In Phase 3: Red Teaming , independent red teams of privacy researchers scrutinized and tested the blue team prototypes for privacy vulnerabilities. You can meet the U.K. What's next?

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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