Unite.AI

MAY 6, 2024

In a groundbreaking development , engineers at Northwestern University have created a new AI algorithm that promises to transform the field of smart robotics. Traditional algorithms, designed primarily for disembodied AI, are ill-suited for robotics applications.

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Robotics Algorithm Automation Explainability 214

Unite.AI

SEPTEMBER 29, 2023

Streamlining Classroom Processes With AI and Automation AI has come a long way. Why bring automation into classrooms? Let's delve deeper into how AI and automation are revolutionizing classroom processes: Digital Attendance Systems Gone are the days of calling out each student's name.

Automation 290

Automation AI AI AI Tools 290

IBM Journey to AI blog

APRIL 11, 2023

In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments. As per the new law, noncompliant organizations may face fines ranging from no less than USD 500 to no more than USD 1500 for each violation.

AI Strategy 289

AI Strategy Algorithm Automation AI 289

Unite.AI

AUGUST 29, 2024

Building on these developments, Sakana AI Lab has developed an AI system called The AI Scientist, which aims to automate the entire research process, from generating ideas to drafting and reviewing papers. In this article, we’ll explore this innovative approach and challenges it faces with automated research.

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Unite.AI

JUNE 28, 2024

Among the most significant contributors to this modernization are Digital Twins, 3D AI, robotics automation, and immersive reality technologies. This convergence allows for the creation of highly detailed and accurate 3D models, which can be analyzed and optimized using AI algorithms. Consider a smart factory in the automotive sector.

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Robotics Automation AI AI 279

Unite.AI

JANUARY 27, 2024

The integration of AI and machine learning algorithms is what truly sets RoboChem apart. As the transformed molecules flow towards an automated NMR spectrometer, the resulting data is fed back in real-time to the computer controlling RoboChem. We use a machine learning algorithm that autonomously determines which reactions to perform.”

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Automation Robotics Machine Learning Artificial Intelligence 286

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction This post will discuss 10 Automated Machine Learning (autoML) packages that we can run in Python. If you are tired of running lots of Machine Learning algorithms just to find the best one, this post might be what you are looking for. This […].

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Machine Learning Automation Data Science Python 300

IBM Journey to AI blog

AUGUST 28, 2023

If you’re ready to expand—or even start—your automation and AIOps strategy, you’ve come to the right place. First, let’s start with a basic premise—as IT systems become more complex and intertwined, automation is the most essential tool you have at your disposal.

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Automation DevOps Artificial Intelligence Artificial Intelligence 189

Unite.AI

JUNE 13, 2024

Protecting digital assets requires harnessing the power of AI and automation while ensuring skilled human analysts remain integral to the security posture. Leveraging AI and Automation Deploying AI and machine learning (ML) models tailored to each of these attack classes is critical for proactive threat detection and prevention.

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Automation AI Automation AI AI 195

IBM Journey to AI blog

SEPTEMBER 12, 2023

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

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Automation DevOps Explainability Machine Learning 222

AI Impacts

OCTOBER 28, 2024

We’re delighted to announce the winners of the Essay competition on the Automation of Wisdom and Philosophy. In addition, I link philosophical reasoning to conceptual/qualitative/non-paradigmatic research, arguing that they’re implemented using the same cognitive algorithms. taking a wide variety of angles on the topic.

Automation 162

Automation Explainability AI AI 162

Analytics Vidhya

APRIL 4, 2022

Meanwhile, modern computing technology has developed faster, sustainable, stress-free automated trading systems by orienting machine learning […]. The post How to Use Algorithmic Trading With Machine Learning in Python appeared first on Analytics Vidhya.

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Machine Learning Algorithm Python Data Science 231

Marktechpost

SEPTEMBER 27, 2024

This article digs into these issues by examining three key questions: How do smart contracts and AI-driven automated decision-making systems challenge traditional contract formation principles like offer, acceptance, and intent? AI systems can act on algorithms without human oversight, complicating the traditional understanding of intent.

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Automation AI AI Artificial Intelligence 110

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

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Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Flipboard

DECEMBER 27, 2023

It will proceed under a temporary law allowing automated surveillance systems to detect “predetermined events” of the sort that might lead to terrorist attacks. If, however, the surveillance system fines one neglectful neighbor more than another because its algorithm favors one skin color or clothing style over another, opinions could change.

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Algorithm Neural Network Software Development Categorization 181

Marktechpost

SEPTEMBER 13, 2024

These models have demonstrated their utility in learning robot policies, high-level reasoning, and automating the generation of reward functions for policy learning. These approaches demonstrate the potential of LLMs in automating complex reasoning and decision-making processes in physical environments.

Robotics 119

Robotics Automation Software Engineer Machine Learning 119

Unite.AI

APRIL 8, 2024

In today's digital age, striking the right balance between automation through AI and personalized, meaningful customer interactions has become a significant challenge. So, the question remains, how do companies best use AI-driven automation to enhance the quality of their customer interactions?

Automation 147

Automation Chatbots AI AI 147

Unite.AI

AUGUST 23, 2024

In today's fast-changing world, automation is reshaping industries incredibly, making robotics an essential part of the workforce. Its flagship product, Digit , represents a groundbreaking leap forward in automated labor. Automation has long been a hot topic, but recent advances have made it a reality in many sectors.

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Robotics Automation Artificial Intelligence Artificial Intelligence 113

Towards AI

NOVEMBER 8, 2024

Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? A practical solution to address this challenge is automating text generation. Author(s): Tejashree_Ganesan Originally published on Towards AI.

Automation 104

Automation Natural Language Processing Neural Network NLP 104

Marktechpost

APRIL 26, 2024

Here, we explore the algorithms that drive neuromorphic computing, its potential use cases, and its diverse applications. Algorithms in Neuromorphic Computing Neuromorphic computing leverages unique algorithms to mimic neurobiological architectures inherent to the nervous system.

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Algorithm Neural Network Robotics Artificial Intelligence 122

O'Reilly Media

JANUARY 17, 2023

Figuring out what kinds of problems are amenable to automation through code. Companies build or buy software to automate human labor, allowing them to eliminate existing jobs or help teams to accomplish more. Because if companies use code to automate business rules, they use ML/AI to automate decisions. Building Models.

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Automation Robotics Data Scientist Software Development 133

Marktechpost

JUNE 16, 2024

Current methods like Math-Shepherd and MiPS use Monte Carlo estimation to automate data collection, while self-consistency decoding and fine-tuning with high-quality datasets have also improved LLM reasoning. Researchers at Google DeepMind and Google introduced OmegaPRM, a novel method for automated process supervision data collection.

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Algorithm Large Language Models LLM Automation 138

Flipboard

NOVEMBER 13, 2024

CMS is just one of many experiments at CERN that is improving its performance using AI, automation and machine learning. Read more about this here. Read more: CMS briefing Paper

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Algorithm Data Quality Neural Network Machine Learning 108

Flipboard

FEBRUARY 13, 2023

AI can help marketers automate tedious tasks, personalize campaigns, and make data-driven decisions. AI can automate this process by analyzing large amounts of data, identifying patterns, and grouping customers based on those patterns. How will A.I transform digital marketing?

Automation 159

Automation Chatbots Algorithm ChatGPT 159

AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. Discover AI-generated charts, AI insights from real-time data, AI automation, and a steadfast copilot, all in one sophisticated platform.

Algorithm 182

Algorithm ChatGPT Convolutional Neural Networks Robotics 182

Marktechpost

JULY 14, 2024

Current methods for robot design typically combine manual prototyping, iterative testing, and evolutionary algorithms to explore different configurations. Evolutionary algorithms, for example, simulate numerous iterations of robot designs to find optimal configurations, but this process can be slow and resource-intensive.

Large Language Models 138

Large Language Models Robotics Algorithm Machine Learning 138

IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. Starting from this foundation model, you can start solving automation problems easily with AI and using very little data—in some cases, called few-shot learning, just a few examples.

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Marktechpost

JULY 15, 2024

Current approaches to automated game design often depend on domain-specific heuristics and limited rule representations. The system employs MAP-Elites, an evolutionary algorithm that maintains an archive of game variations. GAVEL-UCB, a variant using the Upper Confidence Bound algorithm, was also tested to compare performance.

Large Language Models 119

Large Language Models Algorithm Artificial Intelligence Artificial Intelligence 119

Flipboard

SEPTEMBER 26, 2023

Recently, ATPBot announced its support for Binance and Kraken users to implement AI automated trading through API. Leveraging cutting-edge supercomputers and artificial intelligence algorithms, it provides investors with. Read more

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AI Automation Automation Artificial Intelligence Artificial Intelligence 123

Marktechpost

OCTOBER 10, 2024

Thus, there is a growing demand for a modular, automated approach to building optimized LLM systems. Researchers from Stanford University and the University of Washington have developed Archon , a modular framework designed to automate LLM architecture search using inference-time techniques. Sonnet by an average of 15.1

Large Language Models 118

Large Language Models Automation Machine Learning LLM 118

AI News

NOVEMBER 14, 2024

AI-driven fixed assets software offers a modern solution by automating diverse asset control factors. Greater effectiveness: Automation significantly speeds up asset tracking, control, and upkeep. The AI algorithms examined market patterns, assessed risk factors, and dynamically altered the portfolio.

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Automation AI AI Artificial Intelligence 244

Pickl AI

JULY 26, 2024

Summary: Python automation and scripting simplify repetitive tasks, improve efficiency, and streamline workflows. Introduction Python is pivotal in automation and scripting, offering versatile tools to streamline repetitive tasks and enhance efficiency. What is Python Automation?

Automation 52

Automation Python Explainability Artificial Intelligence 52

Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

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Algorithm Auto-classification Neural Network ML 110

Marktechpost

MAY 10, 2024

Researchers from Alibaba Group have introduced a novel approach named AlphaMath that leverages the Monte Carlo Tree Search (MCTS) to automate the generation and refinement of training data for LLMs in mathematical reasoning. The methodology of AlphaMath hinges on integrating MCTS with a policy model and a value model.

Automation 111

Automation Large Language Models Artificial Intelligence Artificial Intelligence 111

Marktechpost

JULY 2, 2024

Automated methods like ACDC and EAP have practical limitations, relying on inefficient search algorithms or inaccurate approximations. While Edge Pruning shows promise in advancing mechanistic interpretability, challenges remain, such as memory requirements and the need for further automation in interpreting discovered circuits.

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Automation Explainability Algorithm ML 111

Marktechpost

MARCH 24, 2024

Researchers from Sakana AI present a methodology that utilizes evolutionary algorithms to enhance the merging of foundation models. These configurations are then optimized using an evolutionary algorithm, such as CMA-ES, for selected tasks, guided by critical task-specific metrics (e.g., ROUGE score for VQA).

Machine Learning 128

Machine Learning Automation LLM Large Language Models 128

Dlabs.ai

JULY 25, 2023

With algorithms, machine learning, and statistical modeling defining who gets hired or promoted, are these decisions genuinely fair? New York City has responded to these concerns by introducing new regulations on using Automated Employment Decision Tools (AEDTs) in 2023. What are AEDTs?

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Automation Machine Learning Algorithm Explainability 98