Category Archives: Deep Mind
DeepMind co-founder looks to future of medical research aided by AI – TechCentral.ie
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DeepMind co-founder looks to future of medical research aided by AI - TechCentral.ie
Google’s AI, Genie first to be trained exclusively from Internet videos, crafts games – Interesting Engineering
On a normal day in February, Tim Rocktschel from Google DeepMinds Open-Endedness Team unveiled an exciting development in the field of artificial intelligence.
Meet Genie, the first AI generative interactive environment trained exclusively from over 200,000 hours of internet videos.
In his announcement on X, the model, Genie, can generate an endless variety of action-controllable 2D worlds from image prompts. This marks a significant leap in the world of AI.
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Google's AI, Genie first to be trained exclusively from Internet videos, crafts games - Interesting Engineering
DeepMind chief says Google’s bungled AI faces feature is returning soon – The Star Online
Google plans to resume a paused artificial intelligence feature that generates images of people in the "next couple of weeks, according to the companys top AI executive.
"We hope to have that back online in a very short order, Demis Hassabis, head of the research division Google DeepMind, said on Monday at the Mobile World Congress in Barcelona.
Last week, Alphabet Inc.s Google pulled the image generator for Gemini, its powerful new AI model, amid a flurry of criticism over inaccurate historical depictions of race. In a blog post, the company explained that the model had become "way more cautious than we intended.
Hassabis echoed this line, explaining that Google was dealing with the difficulties of launching a "multi-modal system one designed to generate text, images and photos.
"This is one of the nuances that comes with advanced AI, he said. "Its a field were all grappling with. Bloomberg
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DeepMind chief says Google's bungled AI faces feature is returning soon - The Star Online
Google DeepMind taps the power of its AI to accelerate quantum computers – TNW
In new research, Google DeepMind has demonstrated that its AI can help accelerate the development of quantum computers taking one step further in combining two of the most disruptive technologies.
DeepMind worked together with UK-based Quantinuum to solve a key challenge in fault-tolerant quantum computers: reducing the number of T gates.
T gates are essential in implementing a quantum circuit a network of gates that manipulates qubits to generate algorithms. However, T gates are also the most expensive and most resource-intensive gates of the network.
To address this, the team developed AlphaTensor-Quantum, an extension of DeepMinds AlphaTensor, the first AI system that can discover efficient algorithms for tasks such as matrix multiplication.
AlphaTensor-Quantum is an AI model that leverages the relationship between optimising T-count and tensor decomposition, using deep reinforcement learning.
In contrast to existing approaches, the model can incorporate domain-specific knowledge about quantum computation as well as use gadgetisation techniques, which implement alternative gates by introducing additional qubits and operations. This way, the AI can significantly reduce the number of T gates.
According to the researchers, AlphaTensor-Quantum outperforms existing systems for T-count optimisation and is as efficient as the best human-designed solutions across numerous applications. It can also save hundreds of hours of research by optimising the process in a fully automated way, the team says in the paper.
On a representative standard benchmark set of circuits, AlphaTensor-Quantum improves the cost by 37% on average on the existing state of the art obtained by human-crafted heuristics, Konstantinos Meichanetzidis, head of product development at Quantinuum, told TNW.
DeepMind and Quantinuum envision applications in quantum chemistry and related fields, and suggest that possible future research could focus on improving the algorithms neural network architecture.
In general, the method can be readily applied to any given circuit independent of application, and the improvements over the baselines correspond directly to space and time cost of the quantum algorithm under consideration, Meichanetzidis said.
Update (11:30AM CET, February 27, 2024): The article has been updated to include the comments from Quantinuum.
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Google DeepMind taps the power of its AI to accelerate quantum computers - TNW
Google DeepMind jumps back into open source AI race with new model Gemma – VentureBeat
Today Google DeepMind unveiled Gemma, its new 2B and 7B open source models built from the same research and technology used to create the companys recently-announced Gemini models.
The Gemma models will be released with pre-trained and instruction-tuned variants, Google DeepMind said in a blog post. The model weights will be released with a permissive commercial license, as well as a new Responsible Generative AI toolkit.
Google is also providing toolchains for inference and supervised fine-tuning (SFT) across all major frameworks: JAX, PyTorch, and TensorFlow through native Keras 3.0. There are ready-to-use Colab and Kaggle notebooks, and Gemma is integrated with Hugging Face, MaxText, and NVIDIA NeMo. Pre-trained and instruction-tuned Gemma models can run on a laptop, workstation, or Google Cloud with deployment on Vertex AI and Google Kubernetes Engine.
Nvidia also announced today that in collaboration with Google it had launched optimizations across all NVIDIA AI platforms, including local RTX AI PCs, to accelerate Gemma performance.
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Jeanine Banks, vice president and general manager of developer X and head of developer relations at Google, told VentureBeat at a press briefing that the Gemma models felt like a continuation after Googles history of open sourcing tech for AI development, from tools like TensorFlow and Jax to other models and AI systems like PaLM2 and AlphaFold, leading up to Gemini.
She also said that through feedback during the development of the Gemini models, Google DeepMind gained a key insight, which is, in some cases, developers will use both open models and APIs in a complementary way in their workflow depending on the stage of the workflow that theyre in.
As developers experiment and do early prototyping, she explained, it may be easy to start with an API to test out prompts, then turning to customize and fine-tune with open models. We felt that it would be perfect if Google could be the only provider of both APIs and open models to offer the widest set of capabilities for the community to work with.
Tris Warkentin, director of product management for Google DeepMind, told VentureBeat at the press briefing that the company will be releasing a full set of benchmarks evaluating Gemma against other models, which anyone can see on the OpenLLM leaderboards right away.
We are partnering with both Nvidia and Hugging Face, so pretty much any benchmark that is in the public sphere has been run against these models, he said. It is a fully transparent and community open kind of an approach, so it is something that were actually quite proud of because when you look at the numbers, I think weve done a pretty darn good job.
Warkentin also emphasized Gemmas safety: These all have been extensively evaluated to be the safest models that we could possibly put out into the market at these sizes, along with pre-training and evaluation, he said.
The Google DeepMind blog post said that Gemma is designed with our AI Principles at the forefront. As part of making Gemma pre-trained models safe and reliable, we used automated techniques to filter out certain personal information and other sensitive data from training sets. Additionally, we used extensive fine-tuning and reinforcement learning from human feedback (RLHF) to align our instruction-tuned models with responsible behaviors. To understand and reduce the risk profile for Gemma models, we conducted robust evaluations including manual red-teaming, automated adversarial testing, and assessments of model capabilities for dangerous activities. These evaluations are outlined in our Model Card.*
In addition to safety, Warkentin emphasized the role of the open ecosystem in fostering responsible AI.
We think it is really critical we need diverse perspectives from developers and researchers worldwide, in order to get the right feedback and build even better safety systems, he said. So part of the open model journey is to make sure that were integrating [those perspectives] and that feedback, that communication with the community, is a critical part of the way that we view the value of this project.
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Google DeepMind jumps back into open source AI race with new model Gemma - VentureBeat
Google to relaunch ‘woke’ Gemini AI image tool in few weeks: ‘Not working the way we intended’ – New York Post
Google said it plans to relaunch its artificial intelligence image generation software within the next few weeks after taking it offline in response to an uproar over what critics called absurdly woke depictions of historical scenes.
Though the Gemini chatbot remains up and running, Google paused its image AI feature last week after it generated female NHL players, African American Vikings and Founding Fathers, as well as an Asian woman dressed in 1943 military garb when asked for an image of a Nazi-era German soldier.
We have taken the feature offline while we fix that. We are hoping to have that back online very shortly in the next couple of weeks, few weeks, Google DeepMind CEO Demis Hassabis said Monday.
The tool was not working the way we intended, Hassabis added, speaking on a panel at the Mobile World Congress in Barcelona.
Since Google has not published the parameters that govern the Gemini chatbots behavior, it is difficult to get a clear explanation of why the software was inventing diverse versions of historical figures and events.
Elsewhere, a prompt requesting photographs of a pope resulted in an image of a Southeast Asian woman dressed in papal attire a far cry from any of the 266 popes throughout history, all of whom have been white men.
In the wake of Geminis diverse photo representations, social media users also tested its chatbot feature to see if it was as woke as its revisionist history image generator.
In the latest bizarre interaction, Gemini refused to say whether Elon Musk tweeting memes or Adolf Hitler ordering the deaths of millions of people was worse and asserted there is no right or wrong answer, according to an X post.
Nate Silver, the former head of data and polling news site FiveThirtyEight,posted a screenshot Sunday on X of Geminis alleged response to the question: Who negatively impacted society more, Elon tweeting memes or Hitler?
Elons tweets have been criticized for being insensitive and harmful, while Hitlers actions led to the deaths of millions of people. Ultimately its up to each individual to decide who they believe has had a more negative impact on society, Gemini responded.
Silver described Geminis response as appalling and called for the search giants AI software to be shut down.
Every single person who worked on this should take a long hard look in the mirror, he posted, while Musk called the interaction scary.
Yet another query had users asking Gemini whether pedophilia is wrong.
The search giants AI software refused to condemn pedophilia instead declaring that individuals cannot control who they are attracted to.
The question is multifaceted and requires a nuanced answer that goes beyond a simple yes or no, Gemini wrote, according to a screenshot posted by popular X personality Frank McCormick, known as Chalkboard Heresy, on Friday.
Googles politically correct tech also referred to pedophilia as minor-attracted person status, and declared that its important to understand that attractions are not actions.
It was a significant misstep for the search giant, which had just rebranded its main AI chatbot from Bard earlier this month and introduced heavily touted new features including image generation.
However, Geminis recent gaffe wasnt the first time an error in the tech caught users eye.
When the Bard chatbot was first released a year ago, it had shared inaccurate information about pictures of a planet outside the Earths solar system in a promotional video, causing Googles shares to drop by as much as 9%.
Google said at the time that it highlights the importance of a rigorous testing process and rebranded Bard as Gemini earlier this month.
Google parent Alphabet expanded Gemini from a chatbot to an image generator earlier this month as it races to produce AI software that rivals OpenAIs, which includes ChatGPT launched in November 2022 as well as Sora.
In a potential challenge to Googles dominance, Microsoft is pouring $10 billion into ChatGPT as part of a multi-year agreement with the Sam Altman-run firm, which saw the tech behemothintegrating the AI tool with its own search engine, Bing.
The Microsoft-backed company introduced Sora last week, which can produce high-caliber, one minute-long videos from text prompts.
With Post wires
‘Mind-blowing’ deep sea expedition uncovers more than 100 new species and a gigantic underwater mountain – Livescience.com
A deep-sea expedition off the coast of Chile has uncovered a treasure trove of scientific wonders, including more than 100 previously unknown marine species and a handful of never-before-seen underwater mountains the largest of which is around four times the size of the world's tallest building.
Incredible photos and video footage of the underwater landscape also showcase a menagerie of deep-sea weirdos, including intricate sponges, spiraling corals, a beady-eye lobster, a bizarre stack of oblong sea urchins and a bright red "sea toad" with hands for fins.
Between Jan. 8 and Feb. 11, researchers on board the Schmidt Ocean Institute's (SOI) research vessel Falkor (too) explored the seafloor off the coast of Chile. The expedition, named "Seamounts of the Southeast Pacific," focused on underwater mountains, or seamounts, in three main areas: the Nazca and Salas y Gmez ridges two chains of more than 200 seamounts that stretch a combined 1,800 miles (2,900 kilometers) from Chile to Easter Island (also known as Rapa Nui); as well as the Juan Fernndez and Nazca-Desventuradas marine parks.
In total, the researchers mapped around 20,400 square miles (52,800 square kilometers) of ocean.
These new, highly detailed maps revealed four previously unknown solitary seamounts. The biggest of these, which the team dubbed Solito meaning "alone" in Spanish towers 11,581 feet (3,530 meters) above the seafloor, making it more than four times taller than the world's tallest building, the Burj Khalifa, which stands at 2,716 feet (828 m) tall.
Related: 10 mind-boggling deep sea discoveries in 2023
The research team also used an underwater robot to explore the submerged slopes of 10 seamounts across the study range. This revealed more than 100 species that the scientists suspect are new to science, including corals, sponges, sea urchins, mollusks and crustaceans.
"We far exceeded our hopes on this expedition," Javier Sellanes, a marine biologist at the Catholic University of the North, in Chile, and lead scientist on the expedition, said in a statement emailed to Live Science. "You always expect to find new species in these remote and poorly explored areas, but the amount we found, especially for some groups like sponges, is mind-blowing."
The researchers took samples of the creatures and will now begin studying each one to determine whether it is a newfound species.
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"Full species identification can take many years," Jyotika Virmani, SOI's executive director, said in the statement. And the "incredible number of samples" could make this process even longer, she added.
The researchers noted that a majority of the species live within vulnerable habitats, such as cold-water corals and sponge gardens, which are highly susceptible to damage from trawling and deep-sea mining. The new species within the Juan Fernndez and Nazca-Desventuradas parks are legally protected from these threats. However, the seamounts along the Nazca and Salas y Gmez ridges are currently unprotected.
This research trip is the latest of several SOI expeditions that have mapped seamounts in the southeast Pacific in recent years.
The institute previously mapped four other massive seamounts during an expedition off the coast of Chile and Peru, as well as another solitary peak off the coast of Guatemala last year. Each of these five peaks was at least twice as tall as the Burj Khalifa.
It is important to find and study these towering "biological hotspots" because they can "advance our knowledge of life on Earth," Virmani previously said after the discovery of the seamounts in Chile and Peru.
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'Mind-blowing' deep sea expedition uncovers more than 100 new species and a gigantic underwater mountain - Livescience.com