The potential of AI, particularly in narrow domains, is immense and has the capability to revolutionize various fields, but it also poses significant dangers if not carefully managed and understood Questions to inspire discussion What are the potential dangers of AI? —The potential dangers of AI include the possibility of open sourcing technology leading to the creation of atomic bombs and the dangers of open sourcing large language models for bad purposes.
Category: robotics/AI – Page 797
AI Tool Helps Doctors Pick Optimum Cancer Treatment For Patients
An Israeli medtech company is using artificial intelligence to help oncologists decide the best and most effective course of treatment for their cancer patients.
OncoHost’s main focus is on treatments for non-small cell lung cancer (NSCLC). According to the World Cancer Research Fund, lung cancer is the second most common cancer (after breast cancer) and responsible for 12.2 percent of new cases of the disease.
In fact, OncoHost CEO Ofer Sharon tells NoCamels, lung cancer “is the number one killer” among patients with this form of the disease.
AlphaGeometry: An Olympiad-level AI system for geometry
From U tubingen and cambridge U
Wu’s Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry https://arxiv.org/abs/2404.
- Wu’s…
Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics.
Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena for the world’s brightest high-school mathematicians. The competition not only showcases young talent, but has emerged as a testing ground for advanced AI systems in math and reasoning.
In a paper published today in Nature, we introduce AlphaGeometry, an AI system that solves complex geometry problems at a level approaching a human Olympiad gold-medalist — a breakthrough in AI performance. In a benchmarking test of 30 Olympiad geometry problems, AlphaGeometry solved 25 within the standard Olympiad time limit. For comparison, the previous state-of-the-art system solved 10 of these geometry problems, and the average human gold medalist solved 25.9 problems.
Researchers create humanoid robot so advanced it can predict when you are going to smile
Emo the robot has been developed by researchers at Columbia University to both read and mimic human’s non-verbal cues, like eye contact and smiling.
Autonomous watercraft for underwater and surface mapping of rivers, lakes
Fraunhofer researchers developed an easy-to-operate, unmanned watercraft that autonomously surveys bodies of water both above and below the surface and produces corresponding 3D maps.
The unmanned watercraft uses its GPS, acceleration and angular rate sensors, and a Doppler velocity log (DVL) sensor to incrementally feel its way along the bottom of the body of water. In combination with mapping software, laser scanners, and cameras enable the device to reconstruct high-precision 3D models of the surroundings above water. A multi-beam sonar integrated into the sensor system is used for underwater mapping and creating a complete 3D model of the bed.
“Our navigation system is semi-automatic in that the user only needs to specify the area to be mapped. The surveying process itself is fully automatic, and data evaluation is carried out with just a few clicks of the mouse. We developed the software modules required for the mapping and autonomous piloting,” explains Dr. Janko Petereit, a scientist at Fraunhofer IOSB.
During the journey, it autonomously avoids obstacles detected by the laser scanner and sonar and generates a 3D model in real time for navigation purposes, including dynamic objects such as moving vessels.
5,000 Tiny Robots Unveil Secrets Of Universe’s Dark Energy
In a revolutionary scientific endeavor, researchers are using 5,000 miniature robots perched atop a mountaintop telescope to peer an astonishing 11 billion years into the past. This cutting-edge instrument, known as the Dark Energy Spectroscopic Instrument (DESI), is capturing light from distant objects in space, allowing scientists from the Lawrence Berkeley National Laboratory to map our cosmos as it was in its infancy and trace its evolution to the present day.
Why is this so important? Understanding how our universe has evolved is intrinsically linked to predicting its ultimate fate and unraveling one of the biggest mysteries in physics: dark energy. This enigmatic force is causing our universe to expand at an ever-increasing rate, and DESI is providing us with unprecedented insights into its effects over the past 11 billion years.
DESI has created the largest and most precise 3D map of our cosmos ever constructed, enabling scientists to measure the expansion history of the young universe with a precision better than 1 percent for the first time. This unparalleled view of the universe’s evolution is shedding light on the interplay between matter, dark matter, and dark energy in shaping the cosmos.
Rigor with machine learning from field theory to the Poincaré conjecture
Machine learning techniques may appear ill-suited for application in fields that prioritize rigor and deep understanding; however, they have recently found unexpected uses in theoretical physics and pure mathematics. In this Perspective, Gukov, Halverson and Ruehle have discussed rigorous applications of machine learning to theoretical physics and pure mathematics.
OpenAI Made Sam Altman Famous. His Investments Made Him A Billionaire
CEO Sam Altman famously has no equity in OpenAI, but startup bets like Reddit, Stripe and Helion have made him a billionaire anyway, a Forbes investigation found.