AI Research
Google DeepMind at ICML 2024

Research
Exploring AGI, the challenges of scaling and the future of multimodal generative AI
Next week the artificial intelligence (AI) community will come together for the 2024 International Conference on Machine Learning (ICML). Running from July 21-27 in Vienna, Austria, the conference is an international platform for showcasing the latest advances, exchanging ideas and shaping the future of AI research.
This year, teams from across Google DeepMind will present more than 80 research papers. At our booth, we’ll also showcase our multimodal on-device model, Gemini Nano, our new family of AI models for education called LearnLM and we’ll demo TacticAI, an AI assistant that can help with football tactics.
Here we introduce some of our oral, spotlight and poster presentations:
Defining the path to AGI
What is artificial general intelligence (AGI)? The phrase describes an AI system that’s at least as capable as a human at most tasks. As AI models continue to advance, defining what AGI could look like in practice will become increasingly important.
We’ll present a framework for classifying the capabilities and behaviors of AGI models. Depending on their performance, generality and autonomy, our paper categorizes systems ranging from non-AI calculators to emerging AI models and other novel technologies.
We’ll also show that open-endedness is critical to building generalized AI that goes beyond human capabilities. While many recent AI advances were driven by existing Internet-scale data, open-ended systems can generate new discoveries that extend human knowledge.
At ICML, we’ll be demoing Genie, a model that can generate a range of playable environments based on text prompts, images, photos, or sketches.
Scaling AI systems efficiently and responsibly
Developing larger, more capable AI models requires more efficient training methods, closer alignment with human preferences and better privacy safeguards.
We’ll show how using classification instead of regression techniques makes it easier to scale deep reinforcement learning systems and achieve state-of-the-art performance across different domains. Additionally, we propose a novel approach that predicts the distribution of consequences of a reinforcement learning agent’s actions, helping rapidly evaluate new scenarios.
Our researchers present an alignment-maintaining approach that reduces the need for human oversight, and a new approach to fine-tuning large language models (LLMs), based on game theory, better aligns a LLM’s output with human preferences.
We critique the approach of training models on public data and only fine-tuning with “differentially private” training, and argue this approach may not offer the privacy or utility that is often claimed it does.
VideoPoet is a large language model for zero-shot video generation.
New approaches in generative AI and multimodality
Generative AI technologies and multimodal capabilities are expanding the creative possibilities of digital media.
We’ll present VideoPoet, which uses an LLM to generate state-of-the-art video and audio from multimodal inputs including images, text, audio and other video.
And share Genie (generative interactive environments), which can generate a range of playable environments for training AI agents, based on text prompts, images, photos, or sketches.
Finally, we introduce MagicLens, a novel image retrieval system that uses text instructions to retrieve images with richer relations beyond visual similarity.
Supporting the AI community
We’re proud to sponsor ICML and foster a diverse community in AI and machine learning by supporting initiatives led by Disability in AI, Queer in AI, LatinX in AI and Women in Machine Learning.
If you’re at the conference, visit the Google DeepMind and Google Research booths to meet our teams, see live demos and find out more about our research.
AI Research
Researchers make AI-powered tool to detect plant diseases

A team of researchers at Maharshi Dayanand University (MDU), Rohtak, has developed an artificial intelligence (AI)-based tool capable of detecting diseases and nutrient deficiencies in bitter gourd leaves, potentially transforming the way farmers monitor crop health.
The study, recently published in the peer-reviewed journal ‘Current Plant Biology’ (Elsevier), highlights how AI-driven innovations can play a crucial role in real-time crop monitoring and precision farming.
The newly developed web-based application, named ‘AgriCure’, is powered by a layered augmentation-enhanced deep learning model. It allows farmers to diagnose crop health by simply uploading or capturing a photograph of a leaf using a smartphone.
“Unlike traditional methods, which are time-consuming and often require expert intervention, AgriCure instantly analyses the image to determine whether the plant is suffering from a disease or nutrient deficiency, and then offers corrective suggestions,” explained the researchers.
The collaborative research project was led by Dr Kamaldeep Joshi, Dr Rainu Nandal and Dr Yogesh Kumar, along with students Sumit Kumar and Varun Kumar from MDU’s University Institute of Engineering and Technology (UIET). It also involved Prof Narendra Tuteja from the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi and Prof Ritu Gill and Prof Sarvajeet Singh Gill from MDU’s Centre for Biotechnology.
MDU Vice-Chancellor, Prof Rajbir Singh, congratulated the research team on their achievement.
According to the researchers, AgriCure can detect major diseases such as downy mildew, leaf spot, and jassid infestation, as well as key nutrient deficiencies like nitrogen, potassium and magnesium.
“This represents a step towards sustainable agriculture, where AI empowers farmers with real-time decision-making tools,” said corresponding authors Prof Ritu Gill and Prof Sarvajeet Singh Gill. They added that the web-based platform can be integrated with mobile devices for direct use in the field.
The team believes that the technology’s core framework can be extended to other crops such as cereals, legumes, and fruits, creating opportunities for wider applications across Indian agriculture.
Looking ahead, they plan to integrate AgriCure with drones and Internet of Things (IoT) devices for large-scale monitoring, and to develop lighter versions of the model for full offline use on mobile phones.
AI Research
How artificial intelligence is transforming hospitals

Story highlights
AI is changing healthcare. From faster X-ray reports to early warnings for sepsis, new tools are helping doctors diagnose quicker and more accurately. What the future holds for ethical and safe use of AI in hospitals is worth watching. Know more below.
AI Research
AI is becoming the new travel agent for younger generations, survey finds

Is travel planning the next space AI is taking over?
A new survey shows that younger Americans are relying on AI and ChatGPT more and more to construct their vacation itineraries.
The survey of 2,000 Americans (split evenly by generation) by Talker Research found that only 29% of millennials have never used AI for this reason, with just 33% of Gen Z saying the same.
This is a stark contrast to older generations that still rely on old-school, traditional methods to sort their travel plans. Seven in ten baby boomers also say they have never used AI for their travel plans.
IN CASE YOU MISSED IT | Travel cutbacks: Americans planning shorter, more frequent trips this summer
So exactly how are people utilizing AI in this way? The interesting results emerged in Talker Research’s new travel trend report.
The top application for AI in travel planning was found to be asking it to compare flight prices for wherever they’re headed, with 29% of all those polled saying they’ve done this.
A similar amount says AI comes in even before that: Twenty-nine percent of respondents have even asked it where they should go for their trip.
Another one in five even let AI complete a detailed plan for their whole trip, complete with sights to see, local things to do and museums to tick off.
While word of mouth and recommendations from loved ones have always been the most common way to learn about fun places to travel, the survey revealed that there’s a new contender.
YouTube (34%) was crowned as the top resource people use for travel inspo, officially topping recommendations from family (30%) and friends (28%).
The generations were split on this, as unsurprisingly, younger generations were a lot more reliant on social media than older generations.
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While YouTube was the most popular when accounting for every survey-taker, Gen Z was overwhelmingly using TikTok for travel inspiration (52%).
In comparison, just 27% of millennials and only 2% of boomers said they use TikTok for this purpose.
While AI is still fairly new, it’s easy to see this trend growing as the technology becomes more sophisticated.
Survey methodology:
This random double-opt-in survey of 2,000 Americans (500 Gen Z, 500 millennials, 500 Gen X, 500 baby boomers) was conducted between May 5 and May 8, 2025 by market research company Talker Research, whose team members are members of the Market Research Society (MRS) and the European Society for Opinion and Marketing Research (ESOMAR).
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