Toggle light / dark theme

MOWRATOR Launches the World’s First All-in-one Battery-powered Remote Control Robotic Lawn Mower

When I was a kid I always had to mow the lawn, and not with those ones you ride like a toy.


/PRNewswire/ — Intelligent robotics brand MOWRATOR is targeting the North American market. MOWRATOR will launch the world’s first battery-powered all-in-one remote control robotic lawn mower, S1, globally in early 2024. MOWRATOR S1 debuted at the GIE Landscaping Equip Expo trade show in October 2023, followed by the Orlando Makers Faire in November 2023. MOWRATOR S1 received enthusiastic feedback from industry partners, landscaping professionals, and homeowners. Attendees were impressed by MOWRATOR S1’s all-metal frame with its 21 steel blade, autopilot L2 cruise control and U-turn, and one-button auto-dumping mechanism. Furthermore, MOWRATOR S1 also developed more modules to meet autumn leaf vacuum and other yard care needs, unique from the market’s standard remote control lawn mower.

Microsoft uses AI to create the world’s first 3D replica of St. Peter’s Basilica

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.

Founder Focus

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.

Robot learns to perform surgical tasks expertly just by watching videos

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.

The team leveraged a da Vinci Surgical System for this study. It’s a robotic system that’s typically remote controlled by a surgeon with arms that manipulate instruments for tasks like dissection, suction, and cutting and sealing vessels. Systems like these give surgeons much greater control, precision, and a closer look at patients on the operating table. The latest version is estimated to cost over US$2 million, and that doesn’t include accessories, sterilizing equipment, or training.

Graph-based AI model finds hidden links between science and art to suggest novel materials

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.