April 03, 2026 10:13 am (IST)
Follow us:
facebook-white sharing button
twitter-white sharing button
instagram-white sharing button
youtube-white sharing button
AAP drops Raghav Chadha from key parliamentary role, sparks buzz over internal rift | Amit Shah to camp in West Bengal for 15 days during Assembly polls; predicts Mamata’s defeat in state and Bhabanipur | 'BJP plotting President’s Rule, don’t fall in the trap': Mamata Banerjee on Malda unrest, urges peace | 'Most polarised state': CJI Kant raps Bengal govt over 9-hour hostage of judicial officers | Bengal SIR protest: Judge pleads for help amid mob attack after 9-hour hostage ordeal | Bengal SIR progress: 47 lakh of 60 lakh adjudicated cases disposed of, Supreme Court informed | Amit Shah to join Suvendu Adhikari on Bhabanipur nomination day; BJP plans mega roadshow | Fuel prices rise: Premium petrol, diesel hiked amid oil price surge | Commercial LPG up Rs 195.50 as global oil prices rise; domestic rates unchanged | Layoff alert: Oracle cuts 30,000 jobs globally, 12,000 hit in India
Gemini
Google launches Gemini Deep Research. Photo: Google Blog

Google just supercharged search! Meet Gemini deep research

| @indiablooms | Dec 12, 2025, at 07:13 pm

Tech giant Google has unveiled its most powerful research-focused agent yet — Gemini Deep Research, now accessible through the Interactions API.

In an official blog post, the company said: “For the first time, developers can embed Google’s most advanced autonomous research capabilities directly into their own applications.”

Google has also open-sourced a new web research agent benchmark, DeepSearchQA, designed to evaluate an agent’s comprehensiveness and accuracy in complex web research tasks.

According to Google, Gemini Deep Research is engineered for long-running context gathering and synthesis, making it ideal for tasks that demand deep reasoning and meticulous information processing.

The company noted that the agent’s reasoning engine is powered by Gemini 3 Pro, described as Google’s “most factual model yet.” It has been specifically trained to minimize hallucinations and maximize report accuracy during advanced, multi-stage research workflows. By scaling multi-step reinforcement learning for search, the agent can autonomously navigate intricate information ecosystems with high precision.

Google added that Deep Research employs an iterative investigation approach:
It plans each step, formulates queries, reviews results, identifies knowledge gaps, and refines its searches. The latest release includes significantly enhanced web search capabilities, enabling the agent to dig deeper into websites to extract highly specific data.

Support Our Journalism

We cannot do without you.. your contribution supports unbiased journalism

IBNS is not driven by any ism- not wokeism, not racism, not skewed secularism, not hyper right-wing or left liberal ideals, nor by any hardline religious beliefs or hyper nationalism. We want to serve you good old objective news, as they are. We do not judge or preach. We let people decide for themselves. We only try to present factual and well-sourced news.

Support objective journalism for a small contribution.