Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

Researchers from CMU and Princeton Unveil Mamba: A Breakthrough SSM Architecture Exceeding Transformer Efficiency for Multimodal Deep Learning Applications

In contemporary machine learning, foundation models, vast models pretrained on copious amounts of data and then modified for downstream tasks, have become a successful...

Microsoft Researchers Propose TaskWeaver: A Code-First Machine Learning Framework for Building LLM-Powered Autonomous Agents

Large Language Models (LLMs) have shown impressive natural language creation and interpretation abilities. Examples of these models are GPT, Claude, Palm, and Llama. Numerous...

This AI Research Uncovers the Mechanics of Dishonesty in Large Language Models: A Deep Dive into Prompt Engineering and Neural Network Analysis

Understanding large language models (LLMs) and promoting their honest conduct has become increasingly crucial as these models have demonstrated growing capabilities and started widely...

NYU Researchers Propose GPQA: A Challenging Dataset of 448 Multiple-Choice Questions Written by Domain Experts in Biology, Physics, and Chemistry

Large Language Models (LLMs) are at the forefront of Artificial Intelligence (AI) and show great promise to surpass human skills in this quickly changing...

Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An Artificial Intelligence Method to Transform a Diffusion Model into a One-Step Image Generator

With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs,...

Researchers from Microsoft Research and Georgia Tech Unveil Statistical Boundaries of Hallucinations in Language Models

A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide erroneous information, including references...

This AI Research Unveils Photo-SLAM: Elevating Real-Time Photorealistic Mapping on Portable Devices

In computer vision and robotics, simultaneous localization and mapping (SLAM) with cameras is a key topic that aims to allow autonomous systems to navigate...

This AI Paper from Qualcomm AI Research Unveils EDGI: A Groundbreaking Equivariant Diffuser for Advanced Model-Based Reinforcement Learning and Efficient Planning

There are symmetries everywhere. The universal principles of physics hold in both space and time. They exhibit symmetry when spatial coordinates are translated, rotated,...

Stability AI Introduces Adversarial Diffusion Distillation (ADD): The Groundbreaking Method for High-Fidelity, Real-Time Image Synthesis in Minimal Steps

In generative modeling, diffusion models (DMs) have assumed a pivotal role, facilitating recent progress in producing high-quality picture and video synthesis. Scalability and iterativeness...

Researchers from Peking University and Microsoft Introduce COLE: An Effective Hierarchical Generation Framework that can Convert a Simple Intention Prompt into a High-Quality Graphic...

Natural picture production is now on par with professional photography, thanks to a notable recent improvement in quality. This advancement is attributable to creating...

CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization....

Meet SceneTex: A Novel AI Method for High-Quality, Style-Consistent Texture Generation in Indoor Scenes

High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR...

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