Unite.AI

NOVEMBER 28, 2024

This exponential growth made increasingly complex AI tasks feasible, allowing machines to push the boundaries of what was previously possible. 1980s – The Rise of Machine Learning The 1980s introduced significant advances in machine learning , enabling AI systems to learn and make decisions from data.

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Robotics Algorithm AI AI 284

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. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Algorithm ChatGPT Convolutional Neural Networks Robotics 244

Unite.AI

APRIL 15, 2025

Manual inference optimization has long been a bottleneck in AI. Can you explain how TheStage AI automates this process and why its a game-changer? TheStage AI tackles a major bottleneck in AI: manual compression and acceleration of neural networks. At Huawei, I built a framework that automated the process.

Neural Network 120

Neural Network Algorithm Automation AI 120

Unite.AI

SEPTEMBER 13, 2023

Mystery and Skepticism In generative AI, the concept of understanding how an LLM gets from Point A – the input – to Point B – the output – is far more complex than with non-generative algorithms that run along more set patterns. Additionally, the continuously expanding datasets used by ML algorithms complicate explainability further.

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Explainability Generative AI AI Tools AI 273

Unite.AI

MARCH 27, 2024

Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced. Along the journey, many important moments have helped shape AI into what it is today. Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data.

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Natural Language Processing AI AI Algorithm 274

Unite.AI

NOVEMBER 17, 2023

Integrating AI into the app development lifecycle can significantly enhance security measures. From the design and planning stages, AI can help anticipate potential security flaws. During the coding and testing phases, AI algorithms can detect vulnerabilities that human developers might miss.

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Artificial Intelligence Artificial Intelligence DevOps Automation 293

Unite.AI

JULY 25, 2024

In another case , an AI recruiting tool down-ranked women applicants by associating gender-related terminology with underqualified candidates. The algorithm amplified hiring biases at scale by absorbing historical data. Such real world examples underscore the existential risks for global organizations deploying unchecked AI systems.

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AI AI Automation Algorithm 157