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Or Lenchner, CEO of Bright Data – Interview Series

Unite.AI

Becoming CEO of Bright Data in 2018 gave me an opportunity to help shape how AI researchers and businesses go about sourcing and utilizing public web data. What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them?

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LG AI Research Releases EXAONE 3.5: Three Open-Source Bilingual Frontier AI-level Models Delivering Unmatched Instruction Following and Long Context Understanding for Global Leadership in Generative AI Excellence

Marktechpost

LG AI Research has released bilingual models expertizing in English and Korean based on EXAONE 3.5 The research team has expanded the EXAONE 3.5 models demonstrate exceptional performance and cost-efficiency, achieved through LG AI Research s innovative R&D methodologies. The EXAONE 3.5 model scored 70.2.

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & More

ODSC - Open Data Science

Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape.

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PhD-Level AI Agents: The Next Frontier and its Impact

ODSC - Open Data Science

Recent breakthroughs include OpenAIs GPT models, Google DeepMinds AlphaFold for protein folding, and AI-powered robotic assistants in industrial automation. These innovations enable AI to transition from tool-like applications to fully autonomous problem-solvers.

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Where AI is headed in the next 5 years?

Pickl AI

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

Snorkel AI

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI, Google’s comprehensive AI platform, plays a pivotal role in ensuring a safe, reliable, secure, and responsible AI environment for production-level applications.