Asif Razzaq on Muck Rack

Asif Razzaq

Verified
(He/Him)
California, Los Angeles, Orange County, CA, San Jose
As seen in: Marktechpost, LinkedIn, Medium, Wiley Online Library, Elsevier, Frontiers, Flipboard, PRWeb, Business 2 Community, TechOhio, Business.com and
Covers:  Artificial Intelligence, Machine Learning, Data Science, Analytics, Deep Learning, Computer Vision, NLP, LLMs
Unleashing AI's potential. Editor and CEO at @marktechpost : AI News Platform with over 1.5 Million Visits per month

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Asif Razzaq’s Biography

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Asif Razzaq is an AI Journalist and Cofounder of Marktechpost AI Media Inc. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts over a mi…

Asif Razzaq’s Journalist Portfolio

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Microsoft AI Unveils 'TrOCR', An End-To-End Transformer-Based OCR Model For Text Recognition With...

Microsoft AI Unveils 'TrOCR', An End-To-End Transformer-Based OCR Model For Text Recognition With...

The problem of text recognition is a long-standing issue in document digitalization. Many current approaches …

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ByteDance Proposes 'DyStyle': A Novel Dynamic Neural Network For Style Editing

ByteDance Proposes 'DyStyle': A Novel Dynamic Neural Network For Style Editing

In the last few years, AI researchers have been using Generative adversarial networks (GANs) to create images…

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University of Oxford Researchers Release 'PASS' Dataset With 1.4M+ Images (Free From Humans) For ...

University of Oxford Researchers Release 'PASS' Dataset With 1.4M+ Images (Free From Humans) For ...

The development of modern machine learning could not have happened without an extensive research dataset. For…

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OpenAI's New Machine Learning Model Can Summarize Any Size Book with Human Feedback

OpenAI's New Machine Learning Model Can Summarize Any Size Book with Human Feedback

OpenAI has developed a new model to study the alignment problem of machine learning. This model can summarize…

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AI Research Group From NVIDIA Unveils An Advanced Framework To Estimate Physically Correct Human ...

AI Research Group From NVIDIA Unveils An Advanced Framework To Estimate Physically Correct Human ...

It is no secret that human motion synthesis has been a complex and, as of yet, unmet need. Existing technique…

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Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute

Too Much Thinking Can Break LLMs: Inverse Scaling in Test-Time Compute

Discover why longer reasoning can harm large language models' accuracy and learn how to optimize their thinki…

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Articles

Ant Group’s Robbyant Open-Sources LingBot-Vision: A 1B Boundary-Centric Vision Foundation Model for Dense Spatial Perception

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By Asif Razzaq Verified
| Marktechpost Verified
Robbyant, the embodied-AI company within Ant Group, has open-sourced LingBot-Vision, a family of self-supervised Vision Transformers built for dense spatial perception. The weights ship under Apache-2.0 on Hugging Face in four sizes — ViT-giant, ViT-large, ViT-base, and ViT-small — together with a technical report and inference code.
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NVIDIA Releases Audex (Nemotron-Labs-Audex-30B-A3B): A Unified Audio-Text LLM That Preserves the Text Intelligence of Its Backbone

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By Asif Razzaq Verified
| Marktechpost Verified
NVIDIA has released Audex (Nemotron-Labs-Audex-30B-A3B), a unified audio-text large language model. It understands and generates both audio and speech. It also keeps the text intelligence of its backbone. The checkpoints, along with a smaller Audex-2B, are released under a noncommercial license. Most multimodal models pay a text tax. When labs add audio or vision output, text benchmarks often drop. NVIDIA research team reports this even for speech-only output models.
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Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models

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By Asif Razzaq Verified
| Marktechpost Verified
Liquid AI has released Antidoom, an open-source method that targets a common failure mode in reasoning models. That failure mode is the doom loop. In a doom loop, a model emits a span. It then repeats that span again and again. The output continues until the context window is exhausted. Small reasoning models are more prone to this, especially on long thinking traces and hard problems.
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Interview

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What was your first job as a journalist?

Marketing Associate at Epinex

What's your favorite social network?

Twitter

Who do you wish followed you?

Steve Jobs

Awards

'Influential Journalists in AI' by Onalytica

2021 - AI Journalism

'Influential Journalists in AI' by Onalytica 2021 highlights a selected list of journalists who work for, or contribute to well-known, global publications on the topic of AI. These people drive high authority and engagement on their social channels.

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The top 10 AI journalists in 2023- Muckrack

2023 - AI Journalism
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