AI Breakthroughs-18 March 2024

Unveiling Today's Latest Advancements Across Various Industries and Countries in AI

DAILY

AITechChampions

3/18/20241 min read

Unveiling Today's Latest Advancements Across Various Industries & Countries in AI
1. Advancements in Large Language Models (LLMs):

There's a fierce competition among AI companies to develop the most powerful LLMs. Google's Gemini is a strong contender, alongside OpenAI, Anthropic, and Mistral AI's LLMs.

2. AI for Science and Medicine:

AI is making waves in various fields. Researchers are leveraging AI to design new materials, predict protein location, and develop new drugs.

3. Ethical Concerns Around AI:

While AI advancements are impressive, ethical considerations remain paramount. Concerns include bias in AI models, potential job displacement, and the misuse of AI for creating violent or sexual content.

4. Google's VLOGGER and OpenAI's Claude:

Recent breakthroughs include Google's VLOGGER, an AI that animates still photos, and OpenAI's Claude 3 Haiku, a fast and affordable AI model.

5. EU Regulates AI and OpenAI Faces Lawsuit:

The EU Parliament adopted the AI Act, likely to become law in May 2024. Additionally, OpenAI is facing a lawsuit from Elon Musk.

6. AI Model Vulnerabilities and Stretchy Circuits:

Researchers are testing AI models for vulnerabilities using adversarial attacks. In other tech news, VR headsets are nearing human eye resolution, and stretchy circuits for flexible electronics are being developed.

7. AI Partnerships, Open-Sourcing, and Bias Concerns:

There are talks of an Apple-Google partnership to leverage Gemini for iPhones. Elon Musk's xAI open-sourced the base code of its Grok AI model, but not the training code. India is concerned about bias in AI models and has relaxed its recent approval policy for AI model launches.

8. Bio-AI Breakthroughs and AI-powered Search:

Advancements in graph-based feature engineering and AI-powered search are transforming various industries. Additionally, bio-AI breakthroughs and clustered standard errors in AB tests are emerging areas of interest.