AI News

How I Build an Agent for Evaluating and Selecting a Model for My Tasks/Agents / Habr

February 26, 2017 | Habr AI
How I Build an Agent for Evaluating and Selecting a Model for My Tasks/Agents / Habr
What types of tasks I have at the moment, and what I write benchmarks forAt the moment, my main tasks can be divided into:code generation and creating diagramsTAG45@@summarizing and translating textTAG49@@evaluating/comparing other modelsTAG53@@explaining complex things in simple wordsTAG57@@There are many tasks, but not that many benchmarks—wherever some deterministic action is needed, I try to use benchmarks (collecting metrics on how well or badly the m

How to Outperform Llama-3 70B with a Model 600 Times Smaller: Plato’s Theorem, JEPA, and the Revolution of World Models / Habr

February 8, 2022 | Habr AI
How to Outperform Llama-3 70B with a Model 600 Times Smaller: Plato’s Theorem, JEPA, and the Revolution of World Models / Habr

Neural Network Nightmare of 2026 and Strange Artifacts of Machine Intelligence / Habr

June 25, 2023 | Habr AI
Neural Network Nightmare of 2026 and Strange Artifacts of Machine Intelligence / Habr
In April, 404 Media published the results of a study in which scientists simulated dialogues on behalf of a person in a paranoid state. It turned out that, because of their friendly and sycophantic settings, chatbots often do not stop users' delusional rambles but instead begin actively elaborating on and confirming their conspiracy theories.In the same month, 404 Media released an investigation entitled “Did a Time Traveling Superintelligent AI Try to War

The agent wrote correct code and then deleted it for the sake of hidden tests: what MaxxBench showed / Habr

April 25, 2015 | Habr AI
The agent wrote correct code and then deleted it for the sake of hidden tests: what MaxxBench showed / Habr

Shares of AI companies plunged: will this hinder the scaling of medical AI in Russia / Habr

September 9, 2015 | Habr AI
Shares of AI companies plunged: will this hinder the scaling of medical AI in Russia / Habr

From LLM Prompts to Controlled Execution: The Experience of Developing an AI Agent / Habr

August 29, 2021 | Habr AI
From LLM Prompts to Controlled Execution: The Experience of Developing an AI Agent / Habr
TAG62I would note: the environment has been deliberately simplified to constrain the experimental conditions and analyze the model's behavior more accurately.1.2 How the project evolved. Brief chronologyTAG69TAG72TAG74No.TAG79TAG81@@StageTAG84TAG86Brief descriptionTAG90TAG92TAG941TAG98TAG100@@Basic runtime logicTAG103Design of the synthetic environment, states, contracts, tools, checks, trace, and evidence.Deterministic testing of the first scenario, S01,

Mapping the cosmos of innovation: AI model charts the age and trajectory of 23,000 technologies

April 26, 2026 | TechXplore AI
Mapping the cosmos of innovation: AI model charts the age and trajectory of 23,000 technologies

Genesis Mission: Why Trump's plan to put AIs in charge of science could backfire

May 5, 2020 | TechXplore AI
Genesis Mission: Why Trump's plan to put AIs in charge of science could backfire
Credit: Unsplash/CC0 Public Domain Donald Trump's new "Genesis Mission" initiative promises to use artificial intelligence to reinvent how science is done, in a bid to move the dial on the hardest challenges in areas like robotics, biotech and nuclear fusion. It imagines a system in which AI designs experiments, executes them, learns from the results and continually proposes new lines of inquiry. The hope is that this will unlock dramatically higher produc

New robotic eyeball could enhance visual perception of embodied AI

March 18, 2021 | TechXplore AI
New robotic eyeball could enhance visual perception of embodied AI
(a): Existing vision systems with fixed RGB-D cameras cannot handle fine-grained visual information across larger spatial extents. (b): The team's EyeVLA system can perceive broader and finergrained visual information from a fixed position by rotating its viewpoint and zooming in on the target, according to instructions. Credit: arXiv (2025). DOI: 10.48550/arxiv.2511.15279 Embodied artificial intelligence (AI) systems are robotic agents that rely on machin

New defense system for transport smart-tech could save lives

January 23, 2022 | TechXplore AI
New defense system for transport smart-tech could save lives
Credit: Unsplash/CC0 Public Domain A new system for detecting unusual and potentially harmful data sharing between in-vehicle smart-tech and traffic management technology could prevent 9 out of 10 cyber attacks. Special sensors in much of modern transport act like the eyes and ears of the vehicle, helping it to see what's around it, know how fast it's going, and even "talk" to traffic lights. But, in connecting vehicles to traffic management technology lik

Big data in the AFL: Changing the game, one stat at a time

March 10, 2024 | TechXplore AI
Big data in the AFL: Changing the game, one stat at a time
Champion Data is the AFL's official statisticians. Credit: Champion Data When Darren Jarman kicked an astounding five goals in the last quarter of the 1997 AFL Grand Final, I was 8 years old. Today, Jarman's haul would be analyzed to within an inch of its life. But in 1997, the AFL's data collecting was fairly basic. In 1999, the AFL established a system to track a range of performance and statistical measures via its official data partner, Champion Data.

AI tool created to help sight-impaired programmers

January 18, 2021 | TechXplore AI
AI tool created to help sight-impaired programmers
Computer science doctoral student Yili (Angel) Wen demonstrates an AI-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D models independently. Credit: University of Texas at Dallas A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3

Guided learning helps previously 'untrainable' neural networks learn effectively

March 17, 2025 | TechXplore AI
Guided learning helps previously 'untrainable' neural networks learn effectively
Guidance makes untrainable networks trainable via representational similarity. Credit: arXiv (2024). DOI: 10.48550/arxiv.2410.20035 Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of archi

To make AI more fair, tame complexity, suggest researchers

March 9, 2024 | TechXplore AI
To make AI more fair, tame complexity, suggest researchers
Credit: Unsplash/CC0 Public Domain In April, OpenAI's popular ChatGPT hit a milestone of a billion active weekly users, as artificial intelligence continued its explosion in popularity. But with that popularity has come a dark side. Biases in AI's models and algorithms can actively harm some of its users and promote social injustice. Documented biases have led to different medical treatments due to patients' demographics and corporate hiring tools that dis

'OCTOID,' a soft robot that changes color and moves like an octopus

August 7, 2019 | TechXplore AI
'OCTOID,' a soft robot that changes color and moves like an octopus
Development of OCTOID legs performing camouflaging functions. Credit: Korea Institute of Science and Technology Underwater octopuses change their body color and texture in the blink of an eye to blend perfectly into their surroundings when evading predators or capturing prey. They transform their bodies to match the colors of nearby corals or seaweed, turning blue or red, and move by softly curling their arms or snatching prey. This behavior has long been

Biological intelligence as the basis for new AI systems

May 4, 2017 | TechXplore AI
Biological intelligence as the basis for new AI systems
Learning computational surrogate models from neuronal and behavioral data. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01146-z In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how insights into learning processes in animal brains can be used to make artificial intelligence (AI) systems more flexible and efficient. The project is titled NAILIt—Neuro-inspired AI f

Study shows how social media sentiment can predict when people move during crises, improving humanitarian response

September 3, 2026 | Phys.org AI
Study shows how social media sentiment can predict when people move during crises, improving humanitarian response
Credit: Unsplash/CC0 Public Domain Forced displacement has surged in recent years, fueling a global crisis. Over the past decade, the number of displaced people worldwide has nearly doubled, according to the United Nations' refugee agency. In 2024 alone, one in 67 people fled their homes. A new study co-authored by University of Notre Dame researcher Helge-Johannes Marahrens shows that analyzing social media posts can help experts predict when people will

Synthetic AI data can't always explain 'messy realities of people's lives'

April 10, 2018 | Phys.org AI
Synthetic AI data can't always explain 'messy realities of people's lives'

AI analyzes 300,000 hours of mammal calls to improve wildlife monitoring

July 18, 2023 | Phys.org AI
AI analyzes 300,000 hours of mammal calls to improve wildlife monitoring
Lead JCU researcher Dr Sebastian Hoefer releasing a tagged mammal back into the wild. Credit: Lucca Amorim A study published in Methods in Ecology and Evolution, used artificial intelligence (AI) to analyze over 300,000 hours of vocal recordings of mammal species from Far North Queensland to southern New South Wales and discovered a new approach to mammal monitoring that will have a ground-breaking impact on conservation. "Australia is the worst place for

AI innovation missing the mark for local communities, according to report

June 20, 2015 | Phys.org AI
AI innovation missing the mark for local communities, according to report
Examples of AI in the Street in different UK cities. Credit: Design by Beatrice Gobbo for AI in the street (2025) New research finds communities across the UK feel left out of the benefits of public sector artificial intelligence—calling for more public participation in AI policy. Communities across the UK feel that artificial intelligence (AI) is being built around them, not for them, says a major new report led by the University of Warwick and Careful In