Author: Aneesh Tickoo

Aneesh Tickoo
498 POSTS0 COMMENTS
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.

Baidu AI Introduces StereoDistill: A Cross-Modal Distillation Method That Narrows The Gap Between Stereo And LiDAR-Based Approaches For 3D Object Detection

AI Paper Summary
3D detectors equipped with LiDAR points for autonomous driving have exhibited outperforming performance. Unfortunately, LiDAR sensors are often expensive and weather-sensitive, restricting their use....

Amazon Research Introduces 3A (Approximate, Adapt, Anonymize): A Framework For Privacy Preserving Training Data Release For Machine Learning

AI Paper Summary
Data synthesis has been presented as a feasible technique to share and analyze sensitive data in a way that is both morally and legally...

Microsoft Introduces Kosmos-1: A Multimodal Large Language Model That Can Perceive General Modalities, Follow Instructions, And Perform In-Context Learning

AI Paper Summary
A general-purpose interface for various natural language activities has been successfully implemented using large language models (LLMs) by a team of Microsoft researchers. An...

Researchers From Oxford Open-Source WhisperX: A Time-Accurate Speech Recognition System With Word-Level Timestamps

AI Paper Summary
Weakly supervised and unsupervised training approaches have shown outstanding performance on various audio processing tasks, including voice recognition, speaker recognition, speech separation, and keyword...

A New AI Research Proposes VoxFormer: A Transformer-Based 3D Semantic Scene Completion Framework

AI Paper Summary
Understanding a holistic 3D picture is a significant challenge for autonomous vehicles (AV) to perceive. It directly influences later activities like planning and map...

Computer Vision Meets 🫠 Reinforcement Learning: This AI Research Shows that Reward Optimization is a Viable Option to Optimize a Variety of Computer Vision...

AI Paper Summary
Not how effectively the model maximizes the training goal, but rather how well the predictions are matched with the task risk, i.e., the model's...

New AI Research From Anthropic Shows That Simple Prompting Approaches Can Help Large Language Models (LLMs) Trained With Reinforcement Learning From Human Feedback (RLHF)...

AI Paper Summary
Big language models show negative social prejudices, which can occasionally grow worse with larger models. Scaling model size can improve model performance on a...

CMU Researchers Propose Pix2pix3D: A 3D-Aware Conditional Generative Model For Controllable Photorealistic Image Synthesis

AI Paper Summary
In recent years, generative model content production has advanced significantly, enabling high-quality user-controllable picture and video synthesis. Users may interactively generate and modify a...

This AI Research Paper Proposes a Policy Framework for Auditing Large Language Models LLMs by Breaking Down Responsibilities at the Governance, Model and Application...

AI Paper Summary
Technology companies and law enforcement agencies may discover and reduce hazards related to artificial intelligence (AI) systems by using auditing as a governance tool....

A New Generative Model for Videos in Projected Latent Space Improves SOTA Score and Reduces GPU Memory Use

AI Paper Summary
Deep generative models have recently made advancements that have demonstrated their potential to create high-quality, realistic samples in various domains, including photos, audio, 3D...

World Bank Researchers Open Source REaLTabFormer: A Tabular and Relational Synthetic Data Generation Model

AI Paper Summary
The most prevalent type of data is tabular data. This form contains many datasets from surveys, censuses, and administrative sources. These datasets could include...

Meet LAMPP: A New AI Approach From MIT To Integrate Background Knowledge From Language Into Decision-Making Problems By Extracting Probabilistic Priors From Language Models

AI Paper Summary
Common sense priors are essential to make decisions under uncertainty in real-world settings. Let's say they want to give the scenario in Fig. 1...
1...272829...42Page 28 of 42