Prosperity7, the venture capital fund of Aramco Ventures, invested in Rain Neuromorphics in February 2022.
Wikimedia Commons.
Moving aggressively in the AI arms race, Washington has compelled Saudi Aramco to sell its shares in Rain Neuromorphics Inc, an AI chip startup backed by OpenAI CEO Sam Altman, reported Bloomberg.
UK MoD enhances combat training with ChatGPT in SimStriker robots, enabling dynamic soldier-target conversations for realistic scenarios.
SimStriker: A breakthrough in close combat training
SimStriker, developed by 4GD in 2020, has already been used at the SmartFacility in Colchester, UK, where it currently serves the British Army’s 16th Air Assault Brigade. The facility logged over 1,200 hours of training in 2022, engaging various users, including the Ministry of Defence police and civilian participants.
Additionally, GAI helps radiologists cross-reference comorbidities in a way that was not possible before. For instance, people with certain types of autoimmune arthritis have an increased risk of cardiovascular disease (atherosclerosis, hypertension, and type 2 diabetes). These conditions might seem unrelated, but if a CT scan reveals calcifications in the coronary arteries, GAI can facilitate informing the radiologist and treating physician of this important biomarker. These types of added value are not just consumer conveniences. As potentiators of clinical research and effectuators of episodes of care, they can save the lives of patients.
Leaning into the whole.
It should be clear to most in the industry that AI is knocking at the door, and those who do not adopt new technology will be left behind. What seems less clear is how that design and implementation should move forward. Laying AI functions on top of already outdated systems or relying on separate solutions that do not play into the unified stack system–especially given the volume of data, delicate privacy issues and the need for constant updates–does not optimally contribute to advancement. Instead, we should embrace the vision as a whole and build for unification and GAI, rather than jury-rig a square peg in a round hole.
A new study, published in PLOS ONE, has uncovered a remarkable connection between individuals’ musical preferences and their moral values, shedding new light on the profound influence that music can have on our moral compass.
The research, conducted by a team of scientists at Queen Mary University of London and ISI Foundation in Turin, Italy, employed machine learning techniques to analyze the lyrics and audio features of individuals’ favorite songs, revealing a complex interplay between music and morality.
“Our study provides compelling evidence that music preferences can serve as a window into an individual’s moral values,” stated Dr. Charalampos Saitis, one of the senior authors of the study and Lecturer in Digital Music Processing at Queen Mary University of London’s School of Electronic Engineering and Computer Science.
OAK RIDGE, Tenn. — At Oak Ridge National Laboratory, the government-funded science research facility nestled between Tennessee’s Great Smoky Mountains and Cumberland Plateau that is perhaps best known for its role in the Manhattan Project, two supercomputers are currently rattling away, speedily making calculations meant to help tackle some of the biggest problems facing humanity.
You wouldn’t be able to tell from looking at them. A supercomputer called Summit mostly comprises hundreds of black cabinets filled with cords, flashing lights and powerful graphics processing units, or GPUs. The sound of tens of thousands of spinning disks on the computer’s file systems, and air cooling technology for ancillary equipment, make the device sound somewhat like a wind turbine — and, at least to the naked eye, the contraption doesn’t look much different from any other corporate data center. Its next-door neighbor, Frontier, is set up in a similar manner across the hall, though it’s a little quieter and the cabinets have a different design.
Yet inside those arrays of cabinets are powerful specialty chips and components capable of, collectively, training some of the largest AI models known. Frontier is currently the world’s fastest supercomputer, and Summit is the world’s seventh-fastest supercomputer, according to rankings published earlier this month. Now, as the Biden administration boosts its focus on artificial intelligence and touts a new executive order for the technology, there’s growing interest in using these supercomputers to their full AI potential.