Embracing the paradigm shift of agentic AI could lead to massive advancements in healthcare as we know it.
St. Peter’s Basilica, a major pilgrimage site, receives around 15 million visitors annually. It is renowned for its Renaissance and Baroque architecture, with contributions from famous artists like Michelangelo and Bernini.
The Fabbrica di San Pietro, a Catholic institution responsible for the conservation and maintenance of St. Peter’s Basilica, has partnered with Microsoft to create a “digital twin” of the Basilica. This ultra-precise virtual reconstruction allows pilgrims and visitors to explore the structure virtually.
To execute this project, Microsoft collaborated with Iconem, a leader in digital preservation known for creating 3D replicas of the world’s most famous historical landmarks and archaeological sites. Microsoft used Azure, photogrammetry, and AI to create an ultra-precise virtual reconstruction of St. Peter’s Basilica.
C round was co-led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from Salesforce Ventures, Adobe Ventures, B Capital, Citi Ventures, IBM Ventures, and Workday Ventures.
Arnav Kapur, a former MIT Media Lab researcher. He created a headset called AlterEgo that translates silent thoughts into words or internet searches.
- #google #internet #aiart #aidevice #robotics
501 likes, — growasentrepreneurs on September 13, 2024: Nvidia’s Blackwell chip is an engineering marvel, crafted from two of the largest chips ever made using TSMC’s 4-nanometer process. It took $10 billion and 3 years to develop, supported by high-speed networking, software, and incredible I/O capabilities.
This chip powers AI factories in data centers, designed to emulate human intelligence—specifically how we read, finish sentences, and summarize information.
Jensen Huang compares it to the intelligence of thousands of people, showcasing Blackwell’s potential to revolutionize AI in an unprecedented way.
It takes years of intense study and a steady hand for humans to perform surgery, but robots might have an easier time picking it up with today’s AI technology.
Researchers at Johns Hopkins University (JHU) and Stanford University have taught a robot surgical system to perform a bunch of surgical tasks as capably as human doctors, simply by training it on videos of those procedures.
Continue reading “Robot learns to perform surgical tasks expertly just by watching videos” »
Amazon is poised to roll out its newest artificial intelligence chips as the Big Tech group seeks returns on its multibillion-dollar semiconductor investments and to reduce its reliance on market leader Nvidia.
Executives at Amazon’s cloud computing division are spending big on custom chips in the hopes of boosting the efficiency inside its dozens of data centers, ultimately bringing down its own costs as well as those of Amazon Web Services’ customers.
The effort is spearheaded by Annapurna Labs, an Austin-based chip start-up that Amazon acquired in early 2015 for $350 million. Annapurna’s latest work is expected to be showcased next month when Amazon announces widespread availability of ‘Trainium 2,’ part of a line of AI chips aimed at training the largest models.
A team of AI researchers and mathematicians affiliated with several institutions in the U.S. and the U.K. has developed a math benchmark that allows scientists to test the ability of AI systems to solve exceptionally difficult math problems. Their paper is posted on the arXiv preprint server.
MIT CSAIL researchers have developed a generative AI system, LucidSim, to train robots in virtual environments for real-world navigation. Using ChatGPT and physics simulators, robots learn to traverse complex terrains. This method outperforms traditional training, suggesting a new direction for robotic training.
A team of roboticists and engineers at MIT CSAIL, Institute for AI and Fundamental Interactions, has developed a generative AI approach to teaching robots how to traverse terrain and move around objects in the real world.
