Author: Niharika Singh

Niharika Singh
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Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.

Stanford Researchers Introduce the Anticipatory Music Transformer: A Groundbreaking AI Tool for Enhanced Creative Control in Music Composition

Creating art like beautiful images and impressive essays in generative AI often leaves users with little control. Some tools generate music but often need more...

Google Unveils Cloud TPU v5p and AI Hypercomputer: A Leap in AI Processing Power

Google made waves with the launch of its tensor processing unit, Cloud TPU v5p, accompanied by the groundbreaking supercomputer architecture known as AI Hypercomputer....

Meet Notus: Enhancing Language Models with Data-Driven Fine-Tuning

In the pursuit of refining language models to align more closely with user intent and elevate response quality, a new iteration emerges – Notus....

Meet Neosync: The Open Source Solution for Synchronizing and Anonymizing Production Data Across Development Environments and Testing

In software development, teams often face challenges when working with sensitive production data for testing and development purposes. The need to balance data privacy...

Enhancing Data Security and Collaboration: AWS Clean Rooms Introduces Machine Learning and Differential Privacy Features

Amazon Web Services (AWS) has introduced a new update to its secure data-sharing service, Clean Rooms, enhancing its capabilities with cutting-edge machine learning (ML)...

Adobe Researchers Propose DMV3D: A Novel 3D Generation Approach that Uses a Transformer-based 3D Large Reconstruction Model to Denoise Multi-View Diffusion

A common challenge in 3D asset creation for Augmented Reality (AR), Virtual Reality (VR), robotics, and gaming has emerged. The surge in the popularity...

Less Data Annotation + More AI = Deep Active Learning

Training artificial intelligence (AI) models often requires massive amounts of labeled data. It can be highly expensive and time-consuming, especially for complex tasks like...

Privacy Concerns Surrounding LLMs like ChatGPT: This AI Paper Unveils Potential Risks and Safeguarding Measures

While ChatGPT is breaking records, some questions are raised about the security of personal information utilized in OpenAI's ChatGPT. Recently, researchers from Google DeepMind,...

Stability AI Introduces SDXL Turbo: A Real-Time Text-to-Image Generation Model

Stability AI introduces SDXL Turbo, which represents a remarkable advancement in text-to-image synthesis, driven by an innovative distillation method known as Adversarial Diffusion Distillation...

DeepSeek Open-Sources DeepSeek-67B Model: The Latest ChatGPT Rival from China

Chinese AI startup DeepSeek AI has ushered in a new era in large language models (LLMs) by debuting the DeepSeek LLM family. Comprising the...

Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’

Perplexity, an innovative AI startup, has introduced a solution to transform information retrieval systems. This launch introduces two new large language models (LLMs), pplx-7b-online...

This Paper from Johns Hopkins Highlights Data Science’s Role in Accelerating Probabilistic Catalog Matching for Space Discoveries Across Time and Telescopes

A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton...