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Data + AI Summit 2023
Posted in robotics/AI
Category: robotics/AI – Page 865
Fun thought experiment today:
What if today’s ultra-wealthy— the Musks, Bezoses, and Zuckerbergs of the world— decided to demonstrate the true extent of what AI can do today? What if money were no object? Let’s think about some ambitious, albeit costly, applications of current AI technologies that are already within our grasp.
Personal Protection Army
In the realm of personal security, AI-driven technology offers a tantalizing glimpse into the future. Imagine a scenario where, instead of a cadre of bodyguards, a personal drone swarm follows you around, providing an unprecedented level of safety and protection.
When gaming and AI wholly collide… it’ll hopefully look this good but sound much better.
At Computex 2023 in Taipei, Nvidia CEO Jensen Huang just gave the world a glimpse of what it might be like when gaming and AI collide — with a graphically breathtaking rendering of a cyberpunk ramen shop where you can actually talk to the proprietor.
Seriously, instead of clicking on dialogue options, it imagines you could hold down a button, just say something with your own voice, and get an answer from a video game character. Nvidia’s calling it a “peek at the future of games.”
It’s another high-profile warning about AI risk that will divide experts. Signatories include Google DeepMind CEO Demis Hassabis and OpenAI CEO Sam Altman.
A group of top AI researchers, engineers, and CEOs have issued a new warning about the existential threat they believe that AI poses to humanity.
The 22-word statement, trimmed short to make it as broadly acceptable as possible, reads as follows: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
Another warning from AI’s top table.
“Generative” systems such as ChatGPT promise to generate rich profits for those who harness the technology’s potential — and is already minting fortunes for the sellers of the requisite picks and shovels.
A grey rectangular building on the outskirts of San Jose houses rows upon rows of blinking machines. Tangles of colourful wires connect high-end servers, networking gear and data-storage systems. Bulky air-conditioning units whirr overhead. The noise forces visitors to shout.
The building belongs to Equinix, a company that leases data-centre space.
Take an exclusive ride in the vehicle with no steering wheel that’s aiming to make car ownership a thing of the past.
Car wrapping services have been around for quite a while. Startups are diving into robot wrapping as a viable form of outdoor advertising. One recent instance is my company’s partnership with Serve Robotics to increase wildfire prevention.
Considering the recent growth in global outdoor advertising and the rising cost of online ads, there’s a growing possibility of autonomous robot controllers integrating with the outdoor advertising market. Also, as Alphabet rolls out Waymo in cities, the opportunity glares at advertising agencies looking to maximize their brand reach.
Advertising with AMRs is similar to other outdoor advertising campaigns. However, you might want to pay a little more attention to mobility, especially if you intend to use road-plying service robots.
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How many times have you wished you could play back your dream on your computer or phone? With this new discovery, the technology might be closer than you think.
In a research published last week on the arXiv server, researchers at the National University of Singapore and the Chinese University of Hong Kong reported that they have developed a process capable of generating video from brain scans.
Computer vision specialist Landing AI has a unique calling card: Its co-founder and CEO is a tech rock star.
At Google Brain, Andrew Ng became famous for showing how deep learning could recognize cats in a sea of images with uncanny speed and accuracy. Later, he founded Coursera, where his machine learning courses have attracted nearly 5 million students.
Today, Ng is best known for his views on data-centric AI — that improving AI performance now requires more focus on datasets and less on refining neural network models. It’s a philosophy coded into Landing AI’s flagship product, LandingLens.
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