As the debate over AI’s promise and peril grows, Cognizant Chief AI Officer Babak Hodjat reminds us: AI isn’t one big leap but rather a journey of many moments, guided by human purpose and responsibility. Read more here:

RL methods like PPO & GRPO fine-tune LLMs via action space. We explore parameter-space optimization with Evolution Strategies (ES), a scalable, gradient-free fine-tuning framework. Paper: https://t.co/nj3SJbLa2N Code: https://t.co/dNg9njvGcV Blog: https://t.co/IlzqBQcbc5

How can Evolution Strategies (ES) redefine the efficiency of Large Language Model fine-tuning? Explore our latest research-backed approach to optimizing LLM performance. Check out our blog here: https://t.co/IlzqBQcbc5 #LLMs #AI #AIResearch

Our researchers show Evolution Strategies (ES) scale to billions of LLM parameters, outperforming RL (PPO, GRPO) in robustness, sample efficiency, and long-horizon stability. 📄 Paper: https://t.co/nj3SJbLa2N 💻 Code: https://t.co/dNg9njvGcV #LLMs #AIResearch #RL

Reinforcement Learning (RL) has long been the dominant method for fine-tuning, powering many state-of-the-art LLMs. Methods like PPO and GRPO explore in action space. But can we instead explore directly in parameter space? YES we can. We propose a scalable framework for

53,000+ participants. 40+ countries. 1 Guinness World Record. Cognizant’s Vibe Coding event made history, and our Neuro AI Multi-Agent Accelerator powered the evaluation of 30K+ submissions in under a day. Read the #hackathon recap to see how: https://t.co/ybkY9Sf26i #AIAgents

As agents gain power, how do we ensure they stay aligned and secure? Read for reflections from the Agentic AI Summit at Berkeley — covering safety, benchmarks, and what it takes to build truly resilient #MultiAgentSystems: https://t.co/xOPlytFagt #AIAgents

In part two of their discussion on #TheAgentEffect podcast, Adam Cheyer and Babak Hodjat share practical insights on how enterprises can start their agentic transformation. 🎧 Spotify: https://t.co/2UKrRLVerB 🎵 Apple Music: https://t.co/P4nOLPJHgE #AIAgents #MultiAgentSystems

Just in: How can we reduce land-use emissions without sacrificing food security? Our latest research uses #AI to find smarter global strategies—balancing carbon, cost, and cropland. Read the paper: https://t.co/q1EbkikEwW Dive into our blog: https://t.co/J7eqCFrZ23 #LandPolicies

Cognizant AI Lab had a packed summer at #ICML and #GECCO 2025! From multi-agent systems to symbolic evolution, we’re seeing AI shift toward adaptability, alignment, and accountability. Read the recap from our team: https://t.co/a7lKviyJsb #AI #MultiAgentSystems

Introducing The Agent Effect, a new Cognizant podcast exploring how #agenticAI is reshaping business & what leaders need to know to stay ahead. Listen to episode 1 today. Apple: https://t.co/YUcVM5IaHK Spotify: https://t.co/gJLsgS3fPx Blog: https://t.co/7qWqsAQ6jX #TheAgentEffect

Why are intelligent agents the future of enterprise AI? On @AISpacePodcast, @Cognizant CTO of AI @babakatwork shares how enterprises can agentify legacy systems — without ripping and replacing: https://t.co/rGx3bIJm3i #AIAgents #MultiAgentSystems

Big news from the Cognizant AI Lab: we’ve just been granted two more U.S. patents — bringing our total to 59 with 23 more pending. 🚀 Learn more about what this means for the Lab: https://t.co/PijC7P2RyJ #AIResearch

This research is made possible, in part, by Cognizant's AI Lab, where each patent is displayed, and each inventor is celebrated with a U.S. patent plaque and a Funko POP! figurine of their choosing: https://t.co/vUPjtyzOCd

Proud to have been awarded Humies Gold at GECCO 2025 for our Lab's work on RHEA (Realizing Human Expertise through AI), a framework that uses evolutionary AI to refine and evolve expert-designed solutions. Read the full write-up: https://t.co/u8rXQ5AUgz #GECCO2025 #AIResearch

SIRI co-creator Babak Hodjat, now CTO of AI at Cognizant, shares insights on AI’s evolution and how Cognizant is building powerful agents for Fortune 500 firms.

Introducing the new Cognizant AI Lab site, a clearer, more connected way to explore our growing body of #AIResearch and real-world applications. Visit the site today: https://t.co/sShJGrPmyq #DecisionAI #AILab #AI

Our latest blog shows how to design step-by-step multi-agent systems using #NeuroSAN. Learn how to structure instructions, delegate tasks between agents, and when to lean on coded tools to overcome LLM limitations: https://t.co/7yP1KXaIeu #MultiAgentSystems #AI

Scaling agent systems to solve complex tasks can lead to inefficiencies. We introduce asymptotic analysis with #LLM primitives (#AALPs) to model and optimize computational cost as systems grow. Read our paper: https://t.co/oS7E2WXnfZ Blog: https://t.co/KTbiFPlnaq #AgentSystems

In Neuro SAN, our Agent Network Designer can generate a complete, ready-to-run configuration from your use case. A perfect starting point for your next agent system. Access on GitHub: https://t.co/0Pz74cH8Je Watch the full demo: