Companies hope to improve their operations using the new tools. But they want to establish rules that minimize any risks.
Category: robotics/AI – Page 602
AI probably won’t replace the need for humans in the climate change fight, but it could make their work faster and more effective.
Valentinrussanov/iStock.
But a Silicon Valley startup called ClimateAi uses artificial intelligence to help farmers cope with the warming temperatures. The startup has created a platform to assess any place’s climate, water, and soil conditions and forecast its suitability for growing crops in the next 20 years.
Norse Atlantic Airways is teaming up with Avinxt to use their giant robot fueled by green tech and artificial intelligence to perform functions like de-icing, washing, and even giving the engines a good scrub.
The bonus? Regular exterior washing doesn’t just keep the planes looking sharp but cuts down on air resistance, saving up to two percent on fuel burn.
Avinxt will start building the robot in 2024, and will be able to handle big passenger planes, smaller private planes, and even military aircraft, announced Norse in a press release.
Geoffrey Hinton and Yann LeCun argue on X.
For every AI doomer, there’s an AI idealist to counteract their view.
1 and 2
Basically, the central tenet that differentiates a machine from a human being. Consciousness.
In an era marked by economic challenges, the resilience of human generosity is more evident than ever.
Article discusses the growing influence of artificial intelligence and Generation Z in transforming philanthropic strategies and donor engagement reshaping charity.
If OpenAI’s new model can solve grade-school math, it could pave the way for more powerful systems.
Ever since last week’s dramatic events at OpenAI, the rumor mill has been in overdrive about why the company’s chief scientific officer, Ilya Sutskever, and its board decided to oust CEO Sam Altman.
AI startup Hoppr teamed up with AWS to launch a new foundation model to help bring more generative AI solutions into medical imaging, the companies announced on Sunday at RSNA 2023, the annual radiology and medical imaging conference in Chicago.
The new product, named Grace, is a B2B model designed to help application developers build better AI solutions for medical images — and to build them more quickly. Along with the launch of Grace, Hoppr also announced that it received “a multi-million dollar investment” from Health2047, the American Medical Association’s venture studio.
Chicago-based Hoppr, which was founded in 2019, has raised $4.1 million to date, said CEO Khan Siddiqui. Pioneering computer scientist Grace Hopper is the namesake for both the company and its new product, he noted.
As boosters say AI is primed to conquer entire sectors, from military to medicine, a significant portion of the tech world is surprisingly unconvinced by its utility, according to a new survey from software development business Retool.
In the survey of 1,500 people working in tech, Retool found that a startling 51.6 percent of people think AI is overrated, while 25.1 percent think it’s underrated, and another 23.4 percent think it’s fairly rated. The people surveyed include executives, software engineers, designers, and other positions in different industries.
Particularly striking was that workers in executive roles had a more favorable view of AI while people in the technical side “skewed a little more toward overrated” — perhaps not a surprise, since many business leaders have been crowing about the potential cost savings of AI and how it could generate more revenue.
Veterinarian experts at Basepaws, a genetics testing company for pets in California, looked into the possibilities of how dog breeds of today will evolve 10,000 years down the line. The experts give their inputs to neural networks to generate some interesting visualizations.
Take a moment to see if you can recognize the breeds in the images below.
It is well known that modern-day dogs evolved from wolves that got friendly with humans. The exact timeline of when this friendship began is up for debate in the scientific community. But now that it has been established, it is unlikely that the bond will be shaken by anything in the future.
The approach uses machine vision to 3D print structures with multiple materials, from hard, bone-like substances to stuff that’s more like soft tissues.