Author: Adnan Hassan

Adnan Hassan
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Hello, My name is Adnan Hassan. I am a consulting intern at Marktechpost and soon to be a management trainee at American Express. I am currently pursuing a dual degree at the Indian Institute of Technology, Kharagpur. I am passionate about technology and want to create new products that make a difference.

Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks

In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in...

This AI Paper Introduces a Novel Personalized Distillation Process: Enhancing Open-Source LLMs with Adaptive Learning from Closed-Source Counterparts

Researchers from Nanyang Technological University, Singapore, and Salesforce Research introduce a personalized distillation process for code generation tasks involving a student model's initial task-solving...

Researchers from Stanford Introduce RT-Sketch: Elevating Visual Imitation Learning Through Hand-Drawn Sketches as Goal Specifications

Researchers introduced hand-drawn sketches as an unexplored modality for specifying goals in visual imitation learning. The sketches offer a balance between the ambiguity of...

Hugging Face Researchers Introduce Distil-Whisper: A Compact Speech Recognition Model Bridging the Gap in High-Performance, Low-Resource Environments

Hugging Face researchers have tackled the issue of deploying large pre-trained speech recognition models in resource-constrained environments. They accomplished this by creating a substantial...

This AI Research Introduces Two Diffusion Models for High-Quality Video Generation: Text-to-Video (T2V) and Image-to-Video (I2V) Models

A team of researchers from Hong Kong introduced two open-source diffusion models for high-quality video generation. The text-to-video (T2V) model generates cinematic-quality videos from...

This AI Research Introduces Breakthrough Methods for Tailoring Language Models to Chip Design

ChipNeMo explores the utilisation of LLMs for industrial chip design, employing domain adaptation techniques rather than relying on off-the-shelf LLMs. These techniques involve custom...

Researchers from China Introduce ControlLLM: An Artificial Intelligence Framework that Enables Large Language Models (LLMs) to Utilize Multi-Modal Tools for Solving Complex Real-World Task

The performance of LLMs in handling complex real-world tasks is impressive. However, there are cases where they may require assistance in using tools correctly...

Robots Get a ‘Gripping’ Upgrade: AO-Grasp Teaches Bots the Art of Not Dropping Your Stuff!

In recent years, robots have found increased usage in various industries, from manufacturing to healthcare. However, their effectiveness in carrying out tasks largely depends...

Researchers from the University of Michigan Chart New Territory in AI’s Theory of Mind: Unveiling a Taxonomy and Rigorous Protocols for Evaluation

A team of researchers from the University of Michigan advocates developing new benchmarks and evaluation protocols to assess the Theory of Mind (ToM) capability...

Meet FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

In conversational AI, evaluating the Theory of Mind (ToM) through question-answering has become an essential benchmark. However, passive narratives need to improve in assessing...

Meet FreeNoise: A New Artificial Intelligence Method that can Generate Longer Videos with up to 512 Frames from Multiple Text Prompts

FreeNoise is introduced by researchers as a method to generate longer videos conditioned on multiple texts, overcoming limitations in existing video generation models. It...

Bridging AI and IMO Challenges: A Breakthrough in Formal Plane Geometry Systems

Through diligent effort and unwavering commitment, researchers embark on a multi-year journey to create a comprehensive formal planar geometry system to bridge the gap...

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