2025-04-08
JPEG AI Blurs the Line Between Real and Synthetic
In February of this year, the JPEG AI international standard was published, after several years of research aimed at using machine learning techniques to produce a smaller and more easily transmissible and storable image codec, without a loss in perceptual quality. One possible reason why this advent made few headlines is that the core PDFs […]
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2025-11-17
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
2025-11-21
Meta's SAM 3 segmentation model blurs the boundary between language and vision
Meta releases the third generation of its "Segment Anything Model." Unlike standard models limited to fixed categories, SAM 3 uses an open vocabulary to understand both images and videos. Th [...]
2025-11-16
Human-centric IAM is failing: Agentic AI requires a new identity control plane
The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to automa [...]
2025-10-13
This new AI technique creates ‘digital twin’ consumers, and it could kill the traditional survey industry
A new research paper quietly published last week outlines a breakthrough method that allows large language models (LLMs) to simulate human consumer behavior with startling accuracy, a development that [...]
2025-11-19
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]
2025-10-13
Self-improving language models are becoming reality with MIT's updated SEAL technique
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]
2025-04-25
Self-Authenticating Images Through Simple JPEG Compression
Concerns about the risks posed by tampered images have been showing up regularly in the research over the past couple of years, particularly in light of a new surge of AI-based image-editing framework [...]