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Agility Robotics CEO & Digit Show us Robots at Work

Peggy Johnson, CEO of Agility Robotics, discusses how humanoid robots like Digit are transforming logistics and manufacturing. She speaks with Bloomberg Businessweek’s Brad Stone about the rapid advances in automation and the next era of robots in the workplace at Bloomberg Tech in San Francisco. (Source: Bloomberg)

AI model deciphers plant DNA in major agricultural breakthrough

Plant DNA has become a frontier for artificial intelligence, with large language models turning genetic sequences into interpretable content for researchers. These tools treat bases like words, revealing hidden patterns that once eluded traditional methods.

A study published by Dr. Meiling Zou from Hainan University describes how language-based models interpret extensive plant genomes with remarkable precision.

Robots learning without us? New study cuts humans from early testing

Humans no longer have exclusive control over training social robots to interact effectively, thanks to a new study from the University of Surrey and the University of Hamburg.

The study, which will be presented at this year’s IEEE International Conference on Robotics and Automation (ICRA), introduces a new simulation method that lets researchers test their social robots without needing human participants, making research faster and scalable.

Using a humanoid robot, the research team developed a dynamic scanpath prediction model to help the robot predict where a person would look in a social setting.

Exclusive: Start-up FutureHouse debuts powerful AI ‘reasoning model’ for science

As artificial intelligence (AI) tools shake up the scientific workflow, Sam Rodriques dreams of a more systemic transformation. His start-up company, FutureHouse in San Francisco, California, aims to build an ‘AI scientist’ that can command the entire research pipeline, from hypothesis generation to paper production.

Today, his team took a step in that direction, releasing what it calls the first true ‘reasoning model’ specifically designed for scientific tasks. The model, called ether0, is a large language model (LLM) that’s purpose-built for chemistry, which it learnt simply by taking a test of around 500,000 questions. Following instructions in plain English, ether0 can spit out formulae for drug-like molecules that satisfy a range of criteria.

Husker engineers advance work on intelligent, self-healing technology

A University of Nebraska–Lincoln engineering team is another step closer to developing soft robotics and wearable systems that mimic the ability of human and plant skin to detect and self-heal injuries.

Husker engineer Eric Markvicka, along with graduate students Ethan Krings and Patrick McManigal, recently presented a paper at the prestigious IEEE International Conference on Robotics and Automation in Atlanta, Georgia, that sets forth a systems-level approach for a soft robotics technology that can identify damage from a puncture or extreme pressure, pinpoint its location and autonomously initiate self-repair.

The paper was among the 39 of 1,606 submissions selected as an ICRA 2025 Best Paper Award finalist. It was also a finalist for the Best Student Paper Award and in the mechanism and design category.

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A Husker engineering team is another step closer to developing soft robotics and wearable systems that mimic the ability of human and plant skin to detect and self-heal injuries.

AI-designed drug shows early promise for lung fibrosis patients in clinical trial

Researchers report that rentosertib, an AI-discovered TNIK inhibitor, showed promising safety and potential to improve lung function in patients with idiopathic pulmonary fibrosis in a 12-week phase 2a clinical trial. The highest dose group demonstrated a trend toward increased forced vital capacity, especially among patients not receiving standard antifibrotic therapy, supporting further clinical investigation.

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