Genai AI News & Updates

Vals AI Report Shows Gen AI Tools Outperforming Lawyers on Legal Research Tasks - Law.com

www.law.com • 16h ago

Vals AI Report Shows Gen AI Tools Outperforming Lawyers on Legal Research Tasks Law.com...

Method teaches generative AI models to locate personalized objects

news.mit.edu • Yesterday

After being trained with this technique, vision-language models can better identify a unique item in a new scene....

TL;DR

Researchers from MIT and the MIT-IBM Watson AI Lab introduce a new training method that teaches vision-language models to localize personalized objects in a scene by focusing on contextual clues.

Key Takeaways:

The new training method uses carefully prepared video-tracking data to encourage the model to consistently localize the object of interest by focusing on context.
Models retrained with the method outperform state-of-the-art systems at this task, achieving a 12% to 21% improvement in accuracy.
The approach could aid the development of AI-driven assistive technologies that help visually impaired users find certain items in a room and track specific objects across time.

Codoxo to Showcase Generative AI-Enabled FWA Solutions Accelerating Fraud Detection at the 2025 NHCAA Annual Training Conference - PR Newswire

www.prnewswire.com • Yesterday

Codoxo to Showcase Generative AI-Enabled FWA Solutions Accelerating Fraud Detection at the 2025 NHCAA Annual Training Conference PR Newswire...

Unlock Faster, Smarter Edge Models with 7x Gen AI Performance on NVIDIA Jetson AGX Thor

developer.nvidia.com • Yesterday

A defining strength of the NVIDIA software ecosystem is its commitment to continuous optimization. In August, NVIDIA Jetson AGX Thor launched, with up...

TL;DR

NVIDIA Jetson AGX Thor achieves up to a 7x increase in generative AI performance with recent software updates, enabling developers to run the latest AI models on the edge.

Key Takeaways:

NVIDIA Jetson AGX Thor now offers up to a 7x increase in generative AI performance with recent software updates.
The platform provides day 0 support for the latest generative AI models, including GPT-oss and multiple Nemotron models.
Quantization and speculative decoding techniques can significantly accelerate LLM and VLM inference on Jetson Thor, with W4A16 providing the highest inference speeds and lowest memory footprint.

I Replaced My Dev Team with a GenAI Model to Build My New Portfolio. Here's What I Learned.

hackernoon.com • Oct 15, 2025

Google's Gemini Pro is a state-of-the-art Generative AI. It's a real-world case study in what it takes to partner with an AI to ship a full-stack appl...

Even the best AI agents are thwarted by this protocol - what can be done

www.zdnet.com • Oct 14, 2025

The increasingly popular Model Context Protocol lets AI models access applications, but studies show that the best generative AI bots struggle with pl...

TL;DR

Even top AI models struggle with Model Context Protocol, a middleware standard bridging AI and data, due to complex interactions and multi-server scopes.

Key Takeaways:

Bigger AI models tend to perform better than smaller models on MCP-related challenges, but all models struggle with increasing complexity and multi-server interactions.
Fine-tuning AI models specifically for MCP can improve their performance and adaptability, but may not address all challenges, particularly with non-public or non-standard resources.
The development of new benchmarks, datasets, and training methods is necessary to push the boundaries of what's possible with MCP-enabled AI models.

Building the 800 VDC Ecosystem for Efficient, Scalable AI Factories

developer.nvidia.com • Oct 13, 2025

For decades, traditional data centers have been vast halls of servers with power and cooling as secondary considerations. The rise of generative AI ha...

TL;DR

The AI industry is shifting to 800 VDC power distribution and integrated energy storage to meet the demands of modern AI workloads, addressing efficiency-at-scale and volatility challenges.

Key Takeaways:

The use of 800 VDC power distribution enables higher power density, reduced copper usage, and lower cost compared to traditional 3-phase systems.
Multi-timescale energy storage with high-power capacitors and large-scale battery energy storage systems decouples power demands from the utility grid, improving stability and efficiency.
Next-generation AI factories will adopt a native DC architecture with a centralized AC-to-DC conversion system, eliminating layers of AC switchgear and simplifying the overall system.