This is the future huh? As Long as it doesn’t replace journalists. If it entrances them that’ll be great!
Tech giant says AI-powered tool is not intended to replace ‘essential’ role journalists play in covering the news.
Category: robotics/AI – Page 783
Chinese company Unitree has opened pre-orders on its second-gen robot dog companion. The Go2 can follow you around at jogging speeds, perform some wild gymnastic feats, and even talk to you through a GPT-enabled system that writes code on the fly.
As far as basic stats, this little robo-dog weighs about 15 kg (33 lb), stands about 40 cm (16 in) tall, and is about 70 cm (28 in) from … where the nose would be to where the tail would be? Its aluminum/high-strength plastic chassis can carry more than half its own weight as payload if necessary, and it’ll run for an hour or two on a battery charge.
And I do mean run; the US$1,600 base model can manage 5.6 mph (9 km/h), and the $2,800 Pro model ups that to 7.8 mph (12.6 km/h), so it’ll easily keep up with most folk on a jog.
Generative AI is gaining momentum across various sectors due to its potential to streamline workflows, automate creative processes and unlock new opportunities. From art and entertainment to healthcare and manufacturing, industries are recognizing its transformative capabilities.
It’s clear that generative AI is on the path to becoming a commodity. However, not all generative AI is the same, and it’s expected to split into two distinct categories: horizontal and vertical. Horizontal AI models, such as ChatGPT and Google Bard, are becoming increasingly ubiquitous—finding applications across various industries due to their generalized capabilities. On the other hand, vertical AI models are designed to be more specialized and tailored to specific industries—offering significant and more immediate ROI.
This distinction between horizontal and vertical AI models highlights the growing need for industry-specific solutions as businesses seek to leverage the power of AI to optimize their operations and unlock new opportunities for growth.
Using artificial intelligence (AI) to combine data from full-body x-ray images and associated genomic data from more than 30,000 UK Biobank participants, a study by researchers at The University of Texas at Austin and New York Genome Center has helped to illuminate the genetic basis of human skeletal proportions, from shoulder width to leg length.
The findings also provide new insights into the evolution of the human skeletal form and its role in musculoskeletal disease, providing a window into our evolutionary past, and potentially allowing doctors to one day better predict patients’ risks of developing conditions such as back pain or arthritis in later life. The study also demonstrates the utility of using population-scale imaging data from biobanks to understand both disease-related and normal physical variation among humans.
“Our research is a powerful demonstration of the impact of AI in medicine, particularly when it comes to analyzing and quantifying imaging data, as well as integrating this information with health records and genetics rapidly and at large scale,” said Vagheesh Narasimhan, PhD, an assistant professor of integrative biology as well as statistics and data science, who led the multidisciplinary team of researchers, to provide the genetic map of skeletal proportions.
Top players in the development of artificial intelligence, including Amazon, Google, Meta, Microsoft and OpenAI, have agreed to new safeguards for the fast-moving technology, Joe Biden announced on Friday.
Among the guidelines brokered by the Biden administration are watermarks for AI content to make it easier to identify and third-party testing of the technology that will try to spot dangerous flaws.
In the 1990 fantasy drama — Truly, Madly, Deeply, lead character Nina, (Juliet Stevenson), is grieving the recent death of her boyfriend Jamie (Alan Rickman). Sensing her profound sadness, Jamie returns as a ghost to help her process her loss. If you’ve seen the film, you’ll know that his reappearance forces her to question her memory of him and, in turn, accept that maybe he wasn’t as perfect as she’d remembered. Here in 2023, a new wave of AI-based “grief tech” offers us all the chance to spend time with loved ones after their death — in varying forms. But unlike Jamie (who benevolently misleads Nina), we’re being asked to let artificial intelligence serve up a version of those we survive. What could possibly go wrong?
While generative tools like ChatGPT and Midjourney are dominating the AI conversation, we’re broadly ignoring the larger ethical questions around topics like grief and mourning. The Pope in a puffa is cool, after all, but thinking about your loved ones after death? Not so much. If you believe generative AI avatars for the dead are still a way out, you’d be wrong. At least one company is offering digital immortality already — and it’s as costly as it is eerie.
Re;memory, for example, is a service offered by Deepbrain AI — a company whose main business includes those “virtual assistant” type interactive screens along with AI news anchors. The Korean firm took its experience with marrying chatbots and generative AI video to its ultimate, macabre conclusion. For just $10,000 dollars and a few hours in a studio, you can create an avatar of yourself that your family can visit (an additional cost) at an offsite facility. Deepbrain is based in Korea, and Korean mourning traditions include “Jesa”, an annual visit to the departed’s resting place.
Superconductors—found in MRI machines, nuclear fusion reactors and magnetic-levitation trains—work by conducting electricity with no resistance at temperatures near absolute zero, or −459.67°F.
The search for a conventional superconductor that can function at room temperature has been ongoing for roughly a century, but research has sped up dramatically in the last decade because of new advances in machine learning (ML) using supercomputers such as Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego.
Most recently, Huan Tran, a senior research scientist at Georgia Institute of Technology (Georgia Tech) School of Materials Science and Engineering, has worked on Expanse with Professor Tuoc Vu from Hanoi University of Science and Technology (Vietnam) to create an artificial intelligence/machine learning (AI/ML) approach to help identify new candidates for potential superconductors in a much faster and reliable way.
Presenting the new open-source artificial intelligence model LLaMA V2 from Meta which challenges the likes of GPT-4 and Google’s AI offerings, plus Stability AI’s Doodle allows users to transform simple doodles into stunning high-resolution AI images.
Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
AI Marketplace: https://taimine.com/
AI news timestamps:
0:00 LLaMa V2 artificial intelligence.
3:50 Stability doodle AI
#new #ai #technology
Will journalists and reporters soon run out of jobs?
Google is meeting with organizations under the Murdoch-owned News Corp umbrella — The New York Times, The Washington Post, and The Wall Street Journal — to pitch them its AI tool, which can produce and write news stories.
The tool’s name is reportedly Genesis, and it is being pitched by Google to enhance journalism productivity, according to an exclusive report by The New York Times.
The supercomputer is part of the larger constellation of inter-connected supercomputers with a combined capacity of 36 exaFLOPS.
Abu Dhabi-based technology holding group G42 has unveiled the world’s fastest supercomputer, the Condor Galaxy-1 (CG-1), which has 54 million cores and a processing capacity of four exaflops, a press release said. The supercomputer is located in Santa Clara, California, and will be operated by Cerebras, a US-based AI firm under US laws.
As artificial intelligence (AI) technology takes center stage, there is a strong demand for supercomputers to help businesses train their own models. Companies like Microsoft have offered to build the extremely expensive infrastructure and rent it out for companies to work on them.