KDnuggets
DECEMBER 25, 2024
2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let's uncover together the key moments that defined AI this year about to finalize.
KDnuggets
DECEMBER 4, 2024
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insideBIGDATA
DECEMBER 26, 2024
NetApp(NASDAQ: NTAP), the intelligent data infrastructure company, released its second annualData Complexity Report, which examines how global organizations are navigating the increasing complexity of managing their data for AI.
KDnuggets
DECEMBER 2, 2024
In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Cassie Kozyrkov
DECEMBER 3, 2024
AI, privacy, human bias, prompting, the future of content, and how to hack a chatbot Continue reading on Towards Data Science »
insideBIGDATA
DECEMBER 16, 2024
In this contributed article, Omar Zhandarbekuly, co-founder at Surfaice.pro, explores how AI particularly knowledge graphs, generative AI, and agentic AIcan bridge these gaps, transforming construction processes into streamlined, intelligent standalone systems.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science Dojo
DECEMBER 12, 2024
Let’s suppose youre training a machine learning model to detect diseases from X-rays. Your dataset contains only 1,000 imagesa number too small to capture the diversity of real-world cases. Limited data often leads to underperforming models that overfit and fail to generalize well. It seems like an obstacle – until you discover data augmentation.
Data Science Dojo
DECEMBER 13, 2024
In the ever-evolving world of data science , staying ahead of the curve is crucial. Attending AI conferences is one of the best ways to gain insights into the latest trends, network with industry leaders, and enhance your skills. As we look forward to 2025, several AI conferences promise to deliver cutting-edge knowledge and unparalleled networking opportunities.
Analytics Vidhya
DECEMBER 27, 2024
Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.
Machine Learning Research at Apple
DECEMBER 17, 2024
Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and improving inference efficiency can reduce latency for users. In addition to ongoing efforts to accelerate inference on Apple silicon, we have recently made significant progress in accelerating LLM inference for the NVIDIA GPUs widely used for production applications across the industry.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
insideBIGDATA
DECEMBER 18, 2024
Crusoe, the vertically integrated AI infrastructure provider, announced it has closed a $600 million Series D funding round. The investment was led by Founders Fund, with participation from new and existing investors, including Fidelity, Long Journey Ventures, Mubadala, NVIDIA, Ribbit Capital, and Valor Equity Partners.
Dataconomy
DECEMBER 3, 2024
Nvidia has expanded its influence in the artificial intelligence (AI) sector by investing in six emerging AI companies. The tech behemoth, valued at $3.3 trillion, aims to leverage innovation across various industries while navigating the complexities of these investments. Nvidia builds AI portfolio with investments in six startups Nvidia’s investments include Applied Digital Corp , Arm Holdings , Nano-X Imaging , Recursion Pharmaceuticals , Serve Robotics , and SoundHound AI.
DECEMBER 26, 2024
This year, IEEE Spectrum readers had a keen interest in all things software: Whats going on in the tumultuous world of open-source, why the sheer size of code is causing security vulnerabilities, and how we need to take seriously the energy costs of inefficient code. The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and
Data Science Dojo
DECEMBER 20, 2024
In the rapidly evolving world of artificial intelligence, Large Language Models (LLMs) have become pivotal in transforming how machines understand and generate human language. To ensure these models are both effective and responsible, LLM benchmarks play a crucial role in evaluating their capabilities and limitations. This blog delves into the significance of popular benchmarks for LLM and explores some of the most influential LLM benchmarks shaping the future of AI.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Analytics Vidhya
DECEMBER 7, 2024
Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease. In this comprehensive guide, we’ll explore the top 50 Python libraries that will shape the future of technology.
Hacker News
DECEMBER 2, 2024
Capture of CO2 from the air offers a promising approach to addressing climate change and achieving carbon neutrality goals1,2. However, the development of a durable material with high capacity, fast kinetics and low regeneration temperature for CO2 capture, especially from the intricate and dynamic atmosphere, is still lacking. Here a porous, crystalline covalent organic framework (COF) with olefin linkages has been synthesized, structurally characterized and post-synthetically modified by the c
insideBIGDATA
DECEMBER 23, 2024
In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.
Dataconomy
DECEMBER 4, 2024
Amazon Web Services (AWS) announced the launch of a new AI supercomputer, Project Rainier, constructed from its proprietary Trainium chips, aiming to rival Nvidia’s dominance in the AI chip market. This supercomputer, which will be finalized by 2025, is poised to be one of the largest ever used for training AI models. Following this revelation, Amazon’s stock price increased by over 1%, reaching nearly $213.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
DECEMBER 6, 2024
For years educators have been trying to glean lessons about learners and the learning process from the data traces that students leave with every click in a digital textbook , learning management system or other online learning tool. Its an approach known as learning analytics. These days, proponents of learning analytics are exploring how the advent of ChatGPT and other generative AI tools bring new possibilities and raise new ethical questions for the practice.
Data Science Dojo
DECEMBER 11, 2024
What is similar between a child learning to speak and an LLM learning the human language? They both learn from examples and available information to understand and communicate. For instance, if a child hears the word ‘apple’ while holding one, they slowly associate the word with the object. Repetition and context will refine their understanding over time, enabling them to use the word correctly.
Analytics Vidhya
DECEMBER 30, 2024
OpenAI’s o1 model has generated considerable excitement in the field of large reasoning models (LRMs) due to its advanced capabilities in tackling complex problems. Building on this foundation, Marco-o1 emerges as a new LRM that not only emphasizes traditional disciplines such as mathematics and coding but also prioritizes open-ended problem-solving across a variety of domains.
Data Science Blog
DECEMBER 28, 2024
Data is the lifeblood of modern decision-making, and AI systems rely heavily on it. However, the quality and ethical implications of this data are paramount. The Importance of Ethical Data Preparation Ethical data preparation is fundamental to the success of AI systems. It’s like ensuring the bricks and mortar used in building a house are sound.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
insideBIGDATA
DECEMBER 11, 2024
KNIME, the open source data analytics and AI company, announced the launch of its AI companion K-AI to all users. With K-AI, users can co-create powerful data workflows with AI. K-AI will answer questions, make recommendations, and extend or build whole data workflows based on user prompts.
Dataconomy
DECEMBER 6, 2024
The FBI has issued a public service announcement urging smartphone users to create a secret code word to combat AI-generated scams. This recommendation comes as reports reveal an increase in cyber fraud leveraging generative AI to enhance deceitful tactics. Security experts say these tools can manipulate communication tactics, making it difficult to discern genuine messages from forgeries.
DECEMBER 18, 2024
Carbon CEO Derek Tu. (LinkedIn Photo) Perplexity , an OpenAI rival valued at $9 billion, acquired Carbon , a Seattle startup that helps companies connect external data sources to their large language models. Founded in 2022, Carbon streamlines the way LLMs access unstructured data from third-party applications such as Google Drive and SharePoint. The company’s four employees will join San Francisco-based Perplexity, which offers AI search products and has seen its valuation skyrocket this
Hacker News
DECEMBER 3, 2024
Phishing attacks increased nearly 40 percent in the year ending August 2024, with much of that growth concentrated at a small number of new generic top-level domains (gTLDs) — such as.shop ,top ,xyz — that attract scammers with rock-bottom prices and no meaningful registration requirements, new research finds. Meanwhile, the nonprofit entity that oversees the domain name industry is moving forward with plans to introduce a slew of new gTLDs.
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Analytics Vidhya
DECEMBER 16, 2024
The NeurIPS 2024 Best Paper Awards were announced, spotlighting exceptional contributions to the field of Machine Learning. This year, 15,671 papers were submitted, of which 4,037 were accepted, representing an acceptance rate of 25.76%. These prestigious awards are the result of rigorous evaluation by specialized committees, comprising prominent researchers with diverse expertise, nominated and approved […] The post 5 Top Paper of NeurIPS 2024 that you Must Read appeared first on Analytic
Data Science Dojo
DECEMBER 12, 2024
Let’s suppose youre training a machine learning model to detect diseases from X-rays. Your dataset contains only 1,000 imagesa number too small to capture the diversity of real-world cases. Limited data often leads to underperforming models that overfit and fail to generalize well. It seems like an obstacle – until you discover data augmentation.
insideBIGDATA
DECEMBER 27, 2024
A new Capital Onesurvey"AI readiness survey: Are companies ready for AI adoption?" found that 87% of business leaders see their data ecosystem as ready to build and deploy AI at scale, yet 70% of technical practitioners spend hours daily fixing data issues.
Dataconomy
DECEMBER 23, 2024
The stock price of Quantum Computing Inc. (NASDAQ: QUBT) surged 300% over the past month despite a significant 40% drop on December 19. This volatility highlights the speculative nature of quantum computing stocks, driven by recent advancements and government funding. QUBT specializes in affordable quantum computers that operate at room temperature, focusing on high-performance computing, cybersecurity, imaging, and sensing.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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