Unite.AI

DECEMBER 20, 2023

Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AI research.

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Unite.AI

MARCH 12, 2025

A significant advantage of AI agents is their ability to constantly refine their models and stay ahead of fraudsters. American Express (Amex) utilizes AI-driven fraud detection models to analyze billions of daily transactions, identifying fraudulent activities within milliseconds.

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Marktechpost

MARCH 22, 2025

The algorithm also remains effective when applied to off-policy datasets, underlining its practicality in real-world scenarios with imperfect data. The research team created a meaningful evaluation framework by introducing ColBench as a benchmark tailored for realistic, multi-turn tasks.

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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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Flipboard

JUNE 7, 2023

Google’s artificial intelligence (AI) research lab DeepMind has achieved a remarkable feat in computer science through its latest AI system, AlphaDev. This specialized version of AlphaZero has made a significant breakthrough by uncovering faster sorting and hashing algorithms, which are essential …

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Unite.AI

FEBRUARY 15, 2025

In 2023, Microsoft suffered such an incident, accidentally exposing 38 terabytes of private information during an AI research project. AI training datasets may also be vulnerable to more harmful adversarial attacks. Research shows that poisoning just 0.001% of a dataset is enough to corrupt an AI model.

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Unite.AI

MARCH 14, 2025

Drawing from my experience leading AI initiatives in government and private sectors, I ensured that AI Squared evolved to address these challenges by enhancing no-code/low-code solutions, expanding industry reach, and integrating cutting-edge AI research into our platform. Whats next for AI Squared?

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Unite.AI

MAY 10, 2024

Researchers and students often find themselves inundated with lengthy research papers, making it challenging to quickly grasp the core ideas and insights. AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries.

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Unite.AI

JANUARY 23, 2025

AI systems are primarily driven by Western languages, cultures, and perspectives, creating a narrow and incomplete world representation. These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. Understanding the Roots of AI Bias AI bias is not simply an error or oversight.

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Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. In contrast, Demis Hassabis and his colleagues John Jumper and David Baker received the Chemistry prize for their groundbreaking AI tool that predicts protein structures.

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Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? What were some of the machine learning algorithms that were used in these early days?

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Marktechpost

DECEMBER 30, 2024

The study conducted a prospective, multicenter observational study to develop and evaluate an ML algorithm, the Sepsis ImmunoScore, designed to identify sepsis within 24 hours and assess critical illness outcomes such as mortality and ICU admission. All credit for this research goes to the researchers of this project.

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Unite.AI

APRIL 8, 2025

Over the past decade, major tech playersincluding Google Brain, Uber ATG (for self-driving cars), and NVIDIAestablished labs or offices here, each keen to tap into Torontos motherlode of AI researchers.

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Marktechpost

OCTOBER 17, 2024

[Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes appeared first on MarkTechPost.

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Marktechpost

FEBRUARY 16, 2025

Despite these advances, no method has effectively addressed all three key challenges: Long-context generalization Efficient memory management Computational efficiency Researchers from the KAIST, and DeepAuto.ai The model achieves this through a hierarchical token pruning algorithm, which dynamically removes less relevant context tokens.

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Marktechpost

SEPTEMBER 24, 2023

LLVM’s optimizer is incredibly complex, with thousands of rules and algorithms written in over 1 million lines of code in the C++ programming language. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization! If you like our work, you will love our newsletter. appeared first on MarkTechPost.

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Unite.AI

JUNE 15, 2024

As Ölveczky explains, “From our experiments, we have a lot of ideas about how such tasks are solved, and how the learning algorithms that underlie the acquisition of skilled behaviors are implemented.” This could provide valuable insights into how real brains learn and adapt to new challenges. .

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Marktechpost

FEBRUARY 28, 2025

Traditional MCMC methods frequently struggle with convergence to equilibrium, leading researchers to combine them with non-equilibrium dynamics through techniques like annealed importance sampling (AIS) or sequential Monte Carlo (SMC). Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Marktechpost

FEBRUARY 22, 2025

Also, OctoTools employs a task-specific toolset optimization algorithm that selects the most relevant tools for each task, thereby improving efficiency and accuracy. The research team extensively evaluated 16 benchmarks covering vision, mathematical reasoning, scientific analysis, and medical applications. OctoTools achieved a 20.7%

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NVIDIA

MARCH 18, 2025

Thats why NVIDIA today announced NVIDIA Halos a comprehensive safety system bringing together NVIDIAs lineup of automotive hardware and software safety solutions with its cutting-edge AI research in AV safety. At the technology level, it spans platform, algorithmic and ecosystem safety.

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BAIR

MARCH 11, 2024

. --> Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond.

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Analytics Vidhya

NOVEMBER 23, 2023

Join us for a fascinating journey into the world of AI and scientific breakthroughs with Anima Anandkumar. In this engaging podcast, Anandkumar, a respected Bren Professor at Caltech and Senior Director of AI Research at NVIDIA shares insights into the basics of AI thinking, its cross-disciplinary impact, and the game-changing tensor methods.

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Analytics Vidhya

SEPTEMBER 25, 2023

Introduction Artificial Intelligence (AI) has catalyzed a profound transformation across diverse sectors, reshaping how we work, create, learn, and interact.

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Analytics Vidhya

JULY 7, 2024

Introduction Artificial Intelligence (AI) is transforming industries and creating new possibilities in various fields. Stanford University, renowned for its contributions to AI research, offers several free courses that can help you get started or advance your knowledge in this exciting domain.

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Analytics Vidhya

JANUARY 29, 2024

Introduction As the field of artificial intelligence (AI) continues to grow and evolve, it becomes increasingly important for aspiring AI developers to stay updated with the latest research and advancements.

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Marktechpost

NOVEMBER 18, 2023

In this paper, the researchers from UC Berkeley have explored a new method to adapt LLMs with RL for goal-directed dialogues. Their contributions include an optimized zero-shot algorithm and a novel system called imagination engine (IE) that generates task-relevant and diverse questions to train downstream agents.

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Marktechpost

DECEMBER 11, 2023

Pearl’s main policy learning algorithm is called PearlAgent, which has features like intelligent exploration, risk sensitivity, safety constraints, etc., An effective RL agent must be able to use an offline learning algorithm to learn as well as evaluate a policy. If you like our work, you will love our newsletter.

AI Researcher 130

AI Researcher AI Research AI AI 130

Unite.AI

NOVEMBER 20, 2024

Driven by a passion for the convergence of technology and medicine, he enthusiastically balances his roles as a practicing radiologist, Assistant Professor of Radiology at Baylor College of Medicine, and AI researcher. Could you elaborate on how AI enhances the capabilities of XCath's endovascular robotic systems?

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Marktechpost

DECEMBER 5, 2023

However, this rich structure needs to be taken into consideration by most planning and reinforcement learning (RL) algorithms. The study team feels that it is critical to create RL algorithms with an understanding of their symmetries to increase their sample efficiency and resilience. If you like our work, you will love our newsletter.

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AI Research AI Researcher Robotics Algorithm 130

AssemblyAI

MARCH 21, 2023

What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community. We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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Marktechpost

DECEMBER 31, 2024

The researchers devised an algorithm streamlining this process, ensuring exact computation with significantly reduced runtime. The researchers demonstrated the computational efficiency of SHARQ through its single-element algorithm, which achieves a runtime nearly linear in the number of rules.

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AI Weekly

JULY 4, 2024

marktechpost.com AI coding startup Magic seeks $1.5-billion reuters.com Applied use cases Meta drops ‘3D Gen’ bomb: AI-powered 3D asset creation at lightning speed Meta, the tech giant formerly known as Facebook, introduced Meta 3D Gen today, a new AI system that creates high-quality 3D assets from text descriptions in less than a minute.

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Unite.AI

OCTOBER 18, 2023

On the other hand, Meta AI has positioned itself as a proponent of a more open approach, albeit with certain caveats, as evidenced by their LLaMa model family. The direction in which the community leans has profound implications for AI research. Music Generation : AI is also making waves in the creative world.

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AI News

JULY 29, 2024

Meta Chief Executive Officer Zuckerberg previously said that his company planned to acquire 350,000 H100 chips by the end of this year to support its AI research efforts. On the other hand, the push for more advanced AI has also sparked an arms race in chip design.

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Marktechpost

JULY 29, 2024

A critical aspect of AI research involves fine-tuning large language models (LLMs) to align their outputs with human preferences. This fine-tuning ensures that AI systems generate useful, relevant, and aligned responses with user expectations. If you like our work, you will love our newsletter.

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Algorithm Large Language Models AI Researcher AI Research 122

Marktechpost

AUGUST 31, 2024

Researchers have been studying the viability of 1-bit FQT in an endeavor to explore these constraints. The study initially analyses FQT theoretically, concentrating on well-known optimization algorithms such as Adam and Stochastic Gradient Descent (SGD).

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Marktechpost

JULY 22, 2024

The importance of artificial data in AI research has grown substantially due to several factors: scalability, privacy preservation, diversity and representation, and cost-effectiveness. Bias in artificial data can arise from underlying algorithms and training data, potentially leading to unfair or inaccurate model predictions.

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