Artificial Intelligence

Understanding The Memorization Of Data Including Personal Identifiable Information in GPT-2 Model

The Berkeley Artificial Intelligence Research (BAIR) evaluated how large language models memorize and regurgitate their training data's rare snippets in a recent paper. The focus was on GPT-2 and found that at...

An Indian Startup Is Using AI To Map India’s Potholes Using Phone Sensors

India is the seventh-largest country globally and has one of the world's largest road networks, with 59 lakh km of road length. Potholes in...

This College Communication Platform, ‘InSpace’, Uses TensorFlow.js For Toxicity Filters In Chat

InSpace is a virtual communication and learning platform. It helps people interact, collaborate, and educate in familiar physical ways, but in a virtual world. It...

A New Method To Code Inductive Image Biases Into Models Using CNN And Transformers

Researchers at Heidelberg University have recently proposed a novel method to efficiently code inductive image biases into models while retaining all transformers’ flexibility. This...

DeepMind Introduces MuZero That Achieves Superhuman Performance In Tasks Without Learning Their Underlying Dynamics

Previously, DeepMind has used reinforcement learning to teach programs to master various games such as the Chinese board game 'Go,' the Japanese strategy game...

Exclusive Talk with Sherin Mathews, Senior Data Scientist at McAfee

Asif: Tell us about your journey in AI and machine learning so far.  What factors influenced your decision to pursue a PhD and a...

DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level reasoning. Recent...

The University of Notre Dame and Facebook AI Research Propose “Img2pose”, A Real-Time 6DoF 3D Face Pose Estimation Without Face Detection Or Landmark Localization

A new study by Facebook AI and the University of Notre Dame research team has proposed a novel real-time six DoF (Degrees of Freedom) 3D...

Sony AI Launches An AI-Powered Gastronomy Flagship Project

Sony AI has recently announced its first major research initiative in the Gastronomy Flagship Project, an AI-powered initiative aiming to enhance chefs’ creativity and techniques...

Create A Festive Song With A Little Help From Machine Learning Using ‘Blob Opera’ Just Released By Google

Christmas songs are paramount during this festive season, and with Google's new app, one can make this Christmas memorable by composing cheerful operatic songs.   Google's Blob...

Inductive Biases May Bridge The Gap Between Current Deep Learning And Human Cognitive Abilities

At present, machine learning (ML) models find applications in various fields, and many ML systems have achieved remarkable accuracy in a variety of domains....

Understanding Neuromorphic Computing: The Next Generation of AI

Neuromorphic computing, as the name suggests, uses a model that’s inspired by the workings of the brain. The brain makes an appealing model for...

Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models...

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Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis,...

Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches...

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Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing...

H2O.ai Just Released Its Latest Open-Weight Small Language Model, H2O-Danube3, Under Apache v2.0

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The natural language processing (NLP) field rapidly evolves, with small language models gaining prominence. These models, designed for efficient inference on consumer hardware and...

The Next Big Trends in Large Language Model (LLM) Research

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Large Language Models (LLMs) are rapidly developing with advances in both the models' capabilities and applications across multiple disciplines. In a recent LinkedIn post,...

CaLM: Bridging Large and Small Language Models for Credible Information Generation

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The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing...

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