AI News Arena
AI Business Desk
A true cost model doesn’t just show where money is being spent -- it reveals which work is driving impact.
The move comes as part of the government’s series of megaprojects designed to secure the country’s position in the global AI landscape.
Investment, safety and next-generation AI models suggest the conversation is shifting from robot demonstrations to real-world deployment.
Other tech giants have also planned multi-billion-dollar AI investments in the large and fast-growing Indian AI market.
The alleged distillation suggests that enterprises should conduct due diligence into how AI labs handle their data.
Data center company executives say AI can support energy transition goals while managing the technology’s growing power demands.
A wave of public offerings is rippling through robotics, AI and the larger tech industry.
The chip would give AI model makers the option to offer lower token prices, possibly easing the concerns of businesses worried about higher token costs.
The move expands the chipmaker’s AI infrastructure ambitions from edge devices to data centers.
The plan joins a host of other multi-billion-dollar AI data center deals.
DeepMind Desk
UK government partners with Google DeepMind to build a new AI-powered prototype aimed at faster housing decisions.
Securing internal systems with an AI Control Roadmap, combining traditional safeguards and real-time monitoring.
Google DeepMind and partners announce a $10M funding call for multi-agent safety research.
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
Results from a randomized controlled trial show the potential of Gemini’s Guided Learning feature to boost engagement and accelerate learning.
Ranking - AI Model Benchmarking
- O1 , O1 mini, O3, O3 mini
- Claude 3.5 Sonnet
- GPT-40
- GPT-4 Turbo
- GPT-4
- Mistral Large 2
- Claude 3 Opus
- Gemini 1.5 Pro
- Claude 3 Sonnet
- Llama 3 70B
- O1 – Preview – OpenAI
- Claude 3.5 Sonnet – Anthropic
- GPT-40 – OpenAI
- GPT-4 Turbo – OpenAI
- GPT-4 – OpenAI
- Mistral Large 2 – Mistral AI
- Claude 3 Opus – Anthropic
- Gemini 1.5 Pro – Google
- Claude 3 Sonnet – Anthropic
- Llama 3 70B – Meta
Top AI Powerful Chips Producers
- NVIDIA
- AMD
- INTEL
- AWS
- ALPHABET
- IBM
- ALIBABA
- GROQ
- SAMBANOVA SYSTEMS
- CEREBRAS SYSTEMS
- APPLE
- META
- MICROSOFT AZURE
- REBELLIONS
- GRAPHCORE
- MYHTIC
- ETCHED
- NVIDIA – GH200
- AMD – MI350
- INTEL – GAUDI 3
- AWS – TRAINIUM 3
- ALPHABET – TRILLIUM
- IBM – NORTHPOLE
- ALIBABA – ACCEL
- GROQ – LPU INFERENCE ENGINE
- SAMBANOVA SYSTEMS – SN40L
- CEREBRAS SYSTEMS -WFE3
- APPLE – M4
- META – ARTEMIS
- MICROSOFT AZURE – MAIA 100
- REBELLIONS – REBEL
- GRAPHCORE – BOW IPU
- MYHTIC – M2000
- ETCHED – SOHU
KDNuggets Desk
Learn what to reach for when retrieval-augmented generation fails in production.
This is an opinion-based look at the AI coding subscription plans that I think give developers the best value for their money, from token and usage-based plans to full coding-agent ecosystems.
Fine-tune open language models locally on your Mac using MLX. No cloud GPUs or costs required.
This article covers five concrete agentic workflows, one for each major stage of a data science pipeline.
In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.