Unite.AI

DECEMBER 26, 2024

The platform's AMS (Advanced Merchandising Strategy) engine analyzes multiple retail metrics simultaneously – from sales performance to inventory levels and customer behavior patterns – to make smart merchandising decisions in real-time. The platform's inventory intelligence stands out through its self-regulating algorithms.

AI Tools 144

AI Tools Automation AI AI 144

Robot Writers AI

JANUARY 12, 2025

And PR Newswire which made its bones with the help of pro writers who wrote press releases for thousands of companies for decades released a new suite of AI tools that enables businesses to auto-write those press releases themselves. Even more startling: Researchers found that other AI engines including Googles Gemini 1.5,

Auto-complete 105

Auto-complete AI Engineer OpenAI ChatGPT 105

Unite.AI

MARCH 7, 2025

When you mention AI, both to a layman and an AI engineer, the cloud is probably the first thing that comes to mind. Enter on-premises AI, a solution thats reclaiming relevance in industries where control, speed, and security outweigh the appeal of convenience. But why, exactly?

AI 185

AI AI Algorithm Data Extraction 185

IBM Journey to AI blog

AUGUST 9, 2024

What is predictive AI? Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. These adversarial AI algorithms encourage the model to generate increasingly high-quality outputs.

Generative AI 301

Generative AI Explainability AI AI 301

Unite.AI

FEBRUARY 12, 2025

The software leverages machine learning algorithms to analyze historical sales, seasonality, and other variables, producing more accurate forecasts than manual spreadsheet methods. What differentiates Fiix is its embedded AI engine (known as Fiix Foresight) which automatically analyzes maintenance data to provide insights.

AI Tools 256

AI Tools Machine Learning Auto-complete AI 256

Unite.AI

JUNE 26, 2023

With the emergence of Large Language Models (LLMs) and Generative AI , the road to achieving the replication of human consciousness is also becoming possible. A former Google AI engineer Blake Lemoine recently propagated the theory that Google’s language model LaMDA is sentient i.e., shows human-like consciousness during conversations.

AI 348

AI AI Neural Network Natural Language Processing 348

Unite.AI

JULY 10, 2024

This kind of algorithm represents fascinating progress in the field of AI because, so far, models have been unable to comprehend human feelings. Use Cases for AI Emotion Recognition Businesses, educators, consultants and mental health care professionals are some of the groups that can use AI for emotion recognition.

Computer Vision 199

Computer Vision Algorithm Machine Learning AI 199

Unite.AI

MAY 23, 2024

The Essential Role of Data in AI Implementation Looking at the applications for the current generation of AI and machine learning, they appear to have solved a very specific problem: companies are overwhelmed by data inputs that they can’t turn into actionable insights manually.

Machine Learning 264

Machine Learning AI AI AI Engineer 264

Unite.AI

APRIL 7, 2025

The AI engine is trained on validated datasets to recognize learning patterns and deliver content that is both pedagogically sound and age appropriate. As AI takes on a larger role in education, companies must be proactive in addressing ethical responsibilities.

AI Engineer 130

AI Engineer Chatbots AI AI 130

AI News

MAY 3, 2024

“Our AI engineers built a prompt evaluation pipeline that seamlessly considers cost, processing time, semantic similarity, and the likelihood of hallucinations,” Ros explained.

Big Data 324

Big Data Generative AI Explainability AI 324

Unite.AI

DECEMBER 17, 2024

To expand the variety of uses for our engines to additional segments not currently addressed by Evogene's existing subsidiaries, such as our current strategic focus on drug discovery through the ChemPass-AI engine.

Machine Learning 130

Machine Learning Data Science Software Engineer Algorithm 130

Towards AI

NOVEMBER 2, 2024

Model deployment is the process of making a model accessible and usable in production environments, where it can generate predictions and provide real-time insights to end-users and it’s an essential skill for every ML or AI engineer. 🤖 What is Detectron2? Image taken from the official Colab for Detectron2 training.

Neural Network 105

Neural Network Machine Learning Computer Vision AI Engineer 105

Unite.AI

JUNE 2, 2023

SalesHandy's powerful AI engine helps users test different email variations, providing valuable insights on what works best in terms of content, subject lines, and scheduling. Key Features: AI-powered email automation Personalized email follow-ups Integration with existing marketing and sales tools 10.

Categorization 258

Categorization Natural Language Processing Automation Machine Learning 258

ODSC - Open Data Science

MARCH 12, 2025

The Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices. 20232024: AI engineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Marktechpost

APRIL 25, 2024

There is a ton of information these days on every single phase involved in building AI algorithms, and this is great! This covers loading/preparing data, feature engineering, training, testing, hyper-parameterization, validation, explainability, MLOps, and deployment. This is an integral part of the Decision Process.

Python 128

Python AI Engineer Data Scientist AI 128

Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to code ML algorithms from scratch.

Neural Network 98

Neural Network Software Engineer Algorithm Machine Learning 98

Unite.AI

JANUARY 18, 2025

These accelerate everything from recommendation engines (like those powering Netflix and Amazon) to generative AI like real-time text and image generation. Smartphones and Consumer Electronics Many of todays premium smartphones, laptops, and tablets incorporate an NPU or AI engine directly into the SoC.

Generative AI 144

Generative AI Neural Network Robotics Natural Language Processing 144

Towards AI

AUGUST 25, 2023

What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1]. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

Machine Learning 98

Machine Learning Software Engineer Neural Network Data Science 98

Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. Explore algorithms: Research and explore different algorithms that are desired for your problem.

Machine Learning 52

Machine Learning Algorithm Deep Learning Neural Network 52

Flipboard

FEBRUARY 4, 2025

If, instead, you step back and view these companies with a 21st century mindset, you realize that a large part of the work of these companies delivering search results, news and information, social network status updates, and relevant products for purchase is done by software programs and algorithms. And its already out of date!

Software Development 182

Software Development Automation Software Engineer Explainability 182

Unite.AI

SEPTEMBER 25, 2023

Users can set ideal times for each habit and determine how defensive the AI engine should be when rescheduling. This AI assistant also integrates with a variety of task management apps, automating scheduling processes and protecting time needed for critical tasks. The customization options in Reclaim are noteworthy.

Natural Language Processing 274

Natural Language Processing Automation AI AI 274

Unite.AI

MAY 16, 2024

Technically, you could use AI to interpret your dreams today if you get a generative model and word your prompt right. However, accuracy is an issue — if you can’t decipher your dream’s meaning, how is an algorithm supposed to? What information can you feed an algorithm to return consistent, accurate output?

AI 157

AI AI Algorithm LLM 157

Unite.AI

FEBRUARY 20, 2024

Utilizing advanced generative AI models on both classical and quantum hardware, including a 16-qubit IBM device, the team successfully generated one million drug candidates. The research, currently awaiting peer review and available on ArXiv , builds on earlier studies demonstrating the potential of quantum generative AI in drug discovery.

Generative AI 167

Generative AI Large Language Models AI AI 167

Towards AI

JANUARY 6, 2025

Applied Generative AI for Digital Transformation by MIT PROFESSIONAL EDUCATION Applied Generative AI for Digital Transformation is for professionals with backgrounds, especially senior leaders, technology leaders, senior managers, mid-career executives, etc. Therefore, it expects you to possess the said experience in the field.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

ODSC - Open Data Science

MARCH 19, 2025

Senior leaders, engineers, and AI practitioners alike will gain practical takeaways to implement in their own organizationswithout getting lost in unnecessary complexity. By the end, youll have a solid conceptual foundation and hands-on experience, enabling you to confidently implement autonomous AI in your own projects.

Software Engineer 52

Software Engineer Software Development AI Engineer AI 52

Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6].

Software Engineer 98

Software Engineer Machine Learning Artificial Intelligence Artificial Intelligence 98

Aiiot Talk

AUGUST 18, 2023

Researchers developed an AI treatment support tool that caused a 3% improvement in sepsis cure rates.” Researchers realized they could train AI algorithms to detect how patients’ states changed over time, and then make appropriate care decisions. They taught the artificial intelligence application to patients with sepsis.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Robotics Algorithm 130

Unite.AI

MAY 2, 2024

Similarly, AI algorithms can track persons of interest across multiple video files and formats, identifying potential matches based on specific features of individuals. A pivotal benefit of AI in public safety lies in its capacity to swiftly analyze extensive data sets in real time.

Big Data 167

Big Data Automation Natural Language Processing Algorithm 167

Marktechpost

DECEMBER 27, 2023

A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. Additionally, PostgresML supports the training of tabular data on more than 50 algorithms, including popular ones like random forests and neural networks.

Machine Learning 124

Machine Learning ML Python Neural Network 124

Pickl AI

FEBRUARY 10, 2025

Hybrid approaches adapt to complex environments, enabling faster, deeper AI decision-making. This algorithm simulates how two opposing players might think. How Alpha-Beta Pruning Enhances Minimax Alpha beta pruning makes the minimax algorithm significantly more efficient without changing its final decision. What is Minimax?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 52

IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. These use areas are sure to evolve as AI technology progresses.

Neural Network 256

Neural Network LLM Algorithm NLP 256

ODSC - Open Data Science

APRIL 1, 2025

LLM & RAG Evaluation Playbook for Production Apps Paul Iusztin, Senior AI Engineer / Founder at Decoding ML Go beyond toy demos and learn how to rigorously evaluate LLM + RAG systems in production. This session provides practical frameworks and tools to measure, debug, and improve performance in real-world AI applications.

Neural Network 52

Neural Network LLM Software Engineer AI 52

How to Learn Machine Learning

AUGUST 12, 2024

If you are already skilled and have pursued software programming, you can already think of a lucrative career in AI and know about becoming an expert AI engineer. But first, what is AI Engineering? AI Engineering is a branch of engineering that focuses on designing, developing, and managing systems that use AI.

Artificial Intelligence 64

Artificial Intelligence Artificial Intelligence Machine Learning AI Engineer 64

Aiiot Talk

JULY 20, 2024

Ways to Integrate AI Into Calibration Procedures AI’s emerging role in metrological instrument calibration shows potential. Since these algorithms can rapidly analyze vast volumes of data and make decisions with little to no human oversight, they excel in periodically calibrating equipment on a pre-defined schedule.

Neural Network 130

Neural Network Automation Artificial Intelligence Artificial Intelligence 130

Towards AI

MAY 8, 2024

Code for Goggle Earth Engine / Replace with your Vertex AI endpoint URLvar endpoint = "[link] Specify input tile size, projection, and output bandsvar model = ee.Model.fromVertexAi({ 'endpoint': endpoint, 'inputTileSize': [1, 1], 'proj': ee.Projection('EPSG:4326').atScale(10),

Machine Learning 104

Machine Learning Large Language Models AI Engineer Data Science 104

Flipboard

JUNE 20, 2023

When you dissect AI’s supply chain, at the root, you will find algorithms. These are the mathematical formulas written to simulate functions of the brain, which underlie the AI programming. The algorithms are compiled into code libraries, and then distributed to AI developers who use them to write custom AI models.

AI Modeling 143

AI Modeling Explainability Algorithm Machine Learning 143

ODSC - Open Data Science

JANUARY 29, 2025

Model Explanations: Algorithms provide human-readable summaries of their predictions, aiding user comprehension. XAI ensures that AI systems remain accountable and aligned with human values, reinforcing their grounding in ethical and practical applications. Register now for only$299!

Robotics 40

Robotics Explainable AI Data Scientist Explainability 40