Unite.AI

MARCH 9, 2025

What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. AI scaling is driven by cutting-edge hardware and self-improving algorithms, enabling machines to process vast amounts of data more efficiently than ever.

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Unite.AI

NOVEMBER 7, 2024

Despite the advancements of AI algorithms, the physical chips that run these algorithms are becoming bottlenecks. Designing optimal chip layouts relies on complex algorithms and vast amounts of data. As new chip architectures emerge, its algorithms may need regular adjustments and fine-tuning.

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Algorithm Artificial Intelligence Artificial Intelligence AI Modeling 255

Flipboard

MARCH 21, 2025

Perplexity is singularly positioned to rebuild the TikTok algorithm without creating a The AI search startup Perplexity just proposed a bid for acquiring (and transforming) TikTok, per a company blog post published Friday.

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Analytics Vidhya

DECEMBER 1, 2024

Here, algorithms are the creative minds behind eye-catching visuals and compelling campaigns. What if your next favorite ad wasn’t made by humans? Welcome to the era of Generative AI! Generative AI (GenAI) is revolutionizing the media and advertising industry, turning traditional ad creation on its head.

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Unite.AI

MARCH 12, 2025

Many algorithms cannot think critically, reason or understand context. Instead of taking the time to consider it, they plug it into a generative model and insert the algorithms response into the answer field. Algorithms are trained to predict the next word in a string of words. Algorithmic models often struggle with overfitting.

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Flipboard

JANUARY 19, 2025

A 2D projection of a particle accelerator beam, computer-generated based on generative diffusion. The process is adaptively guided by accelerator signals that take the image from pure noise (left) to increasingly clear versions (right).

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Analytics Vidhya

JANUARY 29, 2025

Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?

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Marktechpost

DECEMBER 29, 2024

This innovative algorithm leverages vision-language foundation models (FMs) to automate the discovery of artificial lifeforms. The algorithm operates through three distinct mechanisms: Supervised Target Search: Identifies simulations that produce specific phenomena. Trending: LG AI Research Releases EXAONE 3.5:

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Unite.AI

MARCH 12, 2025

Adaptive algorithms update themselves with new fraud patterns, feature engineering improves predictive accuracy, and federated learning enables collaboration between financial institutions without compromising sensitive customer data. These advanced algorithms help detect and prevent fraudulent activities effectively.

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AI News

JANUARY 17, 2025

Traditional algorithms often fail to distinguish between similar structures when deciding what counts as a truly novel material. To address this, Microsoft devised a new structure-matching algorithm that incorporates compositional disorder into its evaluations.

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Big Data Generative AI Algorithm Explainability 306

Unite.AI

MARCH 20, 2025

Algorithmic Bias in Decision-Making AI-powered recruitment tools can reinforce biases, impacting hiring decisions and creating legal risks. Similarly, criminal justice algorithms used in sentencing and parole decisions can diffuse racial disparities. Techniques like adversarial debiasing and re-weighting can reduce algorithmic bias.

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AI News

NOVEMBER 14, 2024

The AI algorithms examined market patterns, assessed risk factors, and dynamically altered the portfolio. AI’s algorithmic training will execute decisions quickly, decreasing human intervention and cutting costs. The end result was a notable improvement in portfolio performance and increased forecasting accuracy.

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Unite.AI

FEBRUARY 8, 2025

To create an artificial dataset, AI engineers train a generative algorithm on a real relational database. Sometimes, algorithms reference nonexistent events or make logically impossible suggestions. The algorithm performs well initially but will hallucinate when presented with new data points. Thats the idea, anyway.

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AI News

NOVEMBER 5, 2024

When left unchecked, generative AI algorithms, which are meant to produce content based on patterns rather than factual accuracy, can easily produce misleading citations. For example, some legal professionals have faced consequences for using AI-generated, fictitious case citations in court.

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AI News

FEBRUARY 28, 2025

Machine learning algorithms can predict network congestion as seen with tools like Chainlink’s off-chain computation, which offers dynamic fee adjustments or transaction prioritisation. AI algorithms and training datasets can be recorded on-chain so they’re auditable.

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Unite.AI

MARCH 3, 2025

Imandra is an AI-powered reasoning engine that uses neurosymbolic AI to automate the verification and optimization of complex algorithms, particularly in financial trading and software systems. This feature is based on a mathematical technique called Cylindrical Algebraic Decomposition, which weve lifted to algorithms at large.

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Unite.AI

NOVEMBER 19, 2024

In the 1960s, researchers developed adaptive techniques like genetic algorithms. These algorithms replicated natural evolutionary process, enabling solutions to improve over time. Turing proposed that machines could learn and improve through experience.

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Analytics Vidhya

NOVEMBER 21, 2024

It plays a crucial role in improving data interpretability, optimizing algorithm efficiency, and preparing datasets for tasks like classification and clustering. Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods designed for discrete inputs.

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Unite.AI

NOVEMBER 14, 2024

“Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment.” The team developed advanced machine learning algorithms to interpret the collected data. The real innovation, however, lies in the sophisticated processing of these radio signals.

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Robotics Machine Learning Explainability Algorithm 275

Flipboard

FEBRUARY 7, 2025

A federal judge will soon decide whether a class action lawsuit against UnitedHealth Group and its algorithm-based care denials can move forward, which would potentially open the door for attorneys to sift through the company’s internal communications. The lawsuit, in U.S.

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Analytics Vidhya

DECEMBER 22, 2024

Imagine a world where algorithms help doctors diagnose illnesses in seconds, self-driving cars navigate effortlessly, and gadgets anticipate our needs before we even ask. Sounds like science fiction? As we approach 2025, machine learning is turning these visions into reality.

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Unite.AI

JANUARY 1, 2025

A hiring algorithm trained on data from male-dominated industries might unintentionally favour male candidates, excluding qualified women from consideration. Companies like Twitter and Apple have faced public backlash for biased algorithms. AI models can reinforce discrimination when they inherit biases from their training data.

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Flipboard

MARCH 16, 2025

AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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Unite.AI

FEBRUARY 15, 2025

For example, a corrupted self-driving algorithm may fail to notice pedestrians. While not all machine learning algorithms can actively train on encrypted data, you can encrypt and decrypt it during analysis. Research shows that poisoning just 0.001% of a dataset is enough to corrupt an AI model. Remember to encrypt all backups, too.

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Machine Learning AI AI Algorithm 191

AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods.

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Large Language Models Big Data OpenAI AI Modeling 317

Unite.AI

DECEMBER 26, 2024

AI algorithms can be trained on a dataset of countless scenarios, adding an advanced level of accuracy in differentiating between the activities of daily living and the trajectory of falls that necessitate concern or emergency intervention. Where does this data come from?

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AI News

MARCH 24, 2025

This makes them invaluable for spotting biases in AI algorithms and datasets. That’s why incorporating diverse perspectives, including neurodivergent talent, is crucial for identifying and mitigating biases in our AI algorithms. Our focus on accessibility is inherently linked to incorporating neurodivergent talent.

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Unite.AI

NOVEMBER 15, 2024

Algorithms, which are the foundation for AI, were first developed in the 1940s, laying the groundwork for machine learning and data analysis. Most consumers trust Google to deliver accurate answers to countless questions, they rarely consider the complex processes and algorithms behind how those results appear on their computer screen.

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Automation ChatGPT AI AI 269

AI News

FEBRUARY 12, 2025

” Container security with machine learning The specific challenges of container security can be addressed using machine learning algorithms trained on observing the components of an application when it’s running clean.

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AI News

JANUARY 15, 2025

In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms. The move comes as companies compete to develop increasingly sophisticated AI video generators.

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Unite.AI

JANUARY 13, 2025

In healthcare, algorithms enable earlier diagnoses for conditions like cancer and diabetes, paving the way for more effective treatments. In the financial industry, some trading platforms tout AI-powered algorithms that are nothing more than basic statistical models. The promise of authentic AI is undeniable.

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Unite.AI

FEBRUARY 3, 2025

Current algorithms in the area of ML and medical image analysis can align multiple images from the same patient – we call this registration – so that we can look at the same position at different time points. Thirdly, AI can help to quantify change over time in patients, which is again, crucial for proper followup.

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Flipboard

MARCH 17, 2025

Generative AI spammers are brute forcing the internet, and it is working. Join the newsletter to get the latest updates. Check your inbox and

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Algorithm Generative AI AI AI 182

Unite.AI

DECEMBER 18, 2024

Every interaction with AI involves complex algorithms that analyze data to make decisions. These algorithms rely on simple actions like checking travel times or receiving personalized content suggestions. But how do these algorithms learn to understand our needs and preferences?

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Unite.AI

NOVEMBER 6, 2024

Leveraging advanced machine learning algorithms, ARIA autonomously adjusts HVAC operations based on factors such as occupancy patterns, weather forecasts, and energy demand, ensuring efficient temperature control and air quality while minimizing energy waste.

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AI Tools AI AI Machine Learning 306

Unite.AI

DECEMBER 23, 2024

The system's AI extends beyond basic image analysis, incorporating specialized algorithms for automated cardiac measurements and vertebral heart scoring. The system processes clinical dialogues through advanced speech recognition algorithms trained specifically for veterinary terminology.

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Unite.AI

JANUARY 2, 2025

Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities. It means developing algorithms carefully and responsibly and using high-quality and diverse data to help enable more accurate predictions for every user.

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