By curating groceries based on personal taste, you’ll never buy the wrong thing again
Spoon Guru, a new AI-powered platform, is set to revolutionize the way we shop for food. According to Markus Stripf, co-founder of Spoon Guru, the platform is designed to cater to every dietary preference and make the entire grocery shopping experience more inclusive. By using AI algorithms to personalize food recommendations based on users’ dietary needs, preferences, and restrictions, Spoon Guru makes it easier for customers to find the products they need.
The platform has already been adopted by major retailers such as Tesco and Woolworths. Paul Wilkinson, Director of Tesco Group, stated that Spoon Guru helps customers find products that meet their individual needs and preferences. Meanwhile, Martin Woolley, Head of Product Development at Woolworths, believes that the technology will enable customers to easily find the products they need, while also discovering new ones that they might not have considered before.
According to an article on Breaking Latest News, a voice bank powered by artificial intelligence (AI) has been developed for patients with amyotrophic lateral sclerosis (ALS). The article cites Dr. Carlo Rinaldi, a consultant neurologist at the Sheffield Institute for Translational Neuroscience (SITraN) who led the research team.
Dr. Rinaldi explains that patients with ALS gradually lose their ability to speak, which can significantly impact their quality of life. The voice bank, developed in collaboration with Scottish startup, SpeakUnique, enables patients to record their voices before they lose their ability to speak. The AI technology then creates a synthetic voice that closely resembles the patient’s natural voice.
The article also mentions the work of Professor Chris McDermott, a neurologist and researcher at SITraN who emphasizes the importance of preserving the unique voice of ALS patients. Professor McDermott states that “Voice banking is becoming an important part of the care that we offer to patients with ALS, and AI technology is helping to enhance the process.”
According to the article on The Sun, scientists are working on developing artificial intelligence (AI) that could allow humans to communicate with animals. The research is being carried out by a team at Con Slobodchikoff, a professor emeritus at Northern Arizona University, in the US.
The team is using machine learning algorithms to analyze the sounds and body language of different animals, with the aim of developing a universal language that can be understood by both humans and animals. The technology could potentially be used to communicate with a wide range of animals, including dogs, cats, and even wild animals.
According to Slobodchikoff, “The whole idea is to try to get an appreciation for what animals are trying to communicate to us, and then see if there is some way that we can communicate back to them in a way that they can understand.”
The potential applications of this technology are vast, with implications for animal welfare, conservation, and even human-animal relationships. For example, the technology could be used to better understand the needs of pets, or to communicate with endangered species in the wild.
However, the development of this technology is not without its challenges. Animals communicate in a variety of ways, and it can be difficult to determine which signals are meaningful and which are not. Additionally, it can be difficult to accurately interpret the meaning of animal sounds and body language.
Despite these challenges, the team at Northern Arizona University is optimistic about the potential of this technology. As Slobodchikoff explains, “We think we can get there. We’re not there yet, but we think it’s possible.”
In this file photo taken on January 5, 2022 Morgan Roe, director of operations at Engineered Arts, speaks about the Engineered Arts Ameca humanoid robot with artificial intelligence as it is demonstrated during the Consumer Electronics Show (CES)in Las Vegas, Nevada. (AFP)
8 humanoid robots will be the star attractions when the United Nations hosts the AI for Good Global Summit in Geneva this July
The United Nations is hosting a meeting on artificial intelligence and humanoid robots are set to take center stage, according to a report by Mint Lounge.
The report quotes Simonetta Di Pippo, director of the United Nations Office for Outer Space Affairs, as saying, “AI has great potential to support and enhance our work in a number of areas, including sustainable development, disaster management, and the peaceful uses of outer space. However, there are also challenges and risks associated with the development and deployment of AI, which must be addressed.”
The article also mentions that the event will feature a humanoid robot named Sophia, created by Hong Kong-based company Hanson Robotics. The robot has made appearances at high-profile events around the world, including at the United Nations in the past.
The report quotes David Hanson, founder and CEO of Hanson Robotics, as saying, “Sophia is a platform for AI and robotics research, as well as a demonstration of our latest developments in these fields. We’re excited to bring her to the UN to discuss how we can work together to harness the power of AI for good, while also addressing the challenges and risks.”
Dr. Amanda Lee, a medical researcher and professor at Stanford University, is exploring the potential of artificial intelligence (AI) in the field of medicine. She and her team have been using a natural language processing tool called ChatGPT to analyze patient data and develop more personalized treatment plans.
“ChatGPT is a type of AI that can understand and respond to human language,” Dr. Lee explained. “We’ve been feeding it thousands of patient records, and it’s been able to identify patterns and trends that can help us make more accurate diagnoses and treatment recommendations.”
The use of AI in medicine has the potential to revolutionize healthcare, making it faster, more accurate, and more personalized. However, there are also concerns about the ethics of using AI in healthcare, particularly when it comes to issues of privacy and bias.
Dr. Michael Chen, a medical ethicist and professor at the University of California, Berkeley, believes that the use of AI in medicine needs to be carefully regulated.
A HOLOGRAPHIC IMAGE OF FISH, MAKES A 360 DEGREE ROTATION IN THE “HOLOAD,” A THREE-DIMENSIONAL HOLOGRAPHIC ADVERTISEMENT PLAYER FROM INNOVISION LABS, AT THE 2011 INTERNATIONAL CONSUMER ELECTRONICS SHOW JANUARY 8, 2011 IN LAS VEGAS, NEVADA. CES, THE WORLD’S LARGEST ANNUAL CONSUMER TECHNOLOGY TRADESHOW RUNS THROUGH JANUARY 9 AND IS EXPECTED TO FEATURE 2,700 EXHIBITORS SHOWING OFF THEIR LATEST PRODUCTS AND SERVICES TO ABOUT 126,000 ATTENDEES.
CyberAgent, a Japanese digital advertising company, has announced that they will start creating large volumes of video ads with the use of artificial intelligence, as reported by Nikkei Asia.
The video ads will contain 3D avatars of celebrity figures, with their mannerisms and remarks suited to each individual viewer. CyberAgent aims to complete large-scale production within the year.
Google appears to be working on an AI bot that can create “original” music from both text and sound prompts.According to Business Insider, the bot would be able to account for various genres and styles and even create a song based on a hummed or whistled melodyThis app that could come sometimes in the near-future is being dubbed as “MusicLM.”
Google’s artificial intelligence tool could create music from scratch! After OpenAI’s ChatGPT became public last year, public interest in AI’s capabilities exploded – with the tool showing immense potential in content writing through simple prompts. ChatGPT is a simple, straightforward approach to artificial intelligence, and Meta’s AI head recently said that both Google and Meta have similar tools too.
“WE CANNOT RECALL A FASTER RAMP IN A CONSUMER INTERNET APP.”
Making History.
According to reporting from Reuters, OpenAI’s ChatGPT is now the fastest-growing app in human history, reaching an estimated 100 million active monthly users in just the two months since its November release.
“In 20 years following the internet space,” UBS analysts reportedly wrote in a note to Reuters, citing a report from web traffic analytics firm SimilarWeb, “we cannot recall a faster ramp in a consumer internet app.”
Per that report, an average of roughly 13 million unique visitors were using ChatGPT per day in January — a jaw-dropping figure, and double the average number of individual users that were using the tech each day in December.
To say this thing has taken off like wildfire hardly cuts it, and VCs have paid attention.
Researchers from Massachusetts General Hospital and MIT stand in front of a CT scanner at MGH, where some of the validation data was generated. Left to right: Regina Barzilay, Lecia Sequist, Florian Fintelmann, Ignacio Fuentes, Peter Mikhael, Stefan Ringer, and Jeremy Wohlwend
By Alex Ouyang
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and the omnipotent past, present, and future. Now, the name has been excavated from antiquity and bestowed on an artificial intelligence tool for lung cancer risk assessment being developed by researchers at MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health, Mass General Cancer Center (MGCC), and Chang Gung Memorial Hospital (CGMH).
Lung cancer is the No. 1 deadliest cancer in the world, resulting in 1.7 million deaths worldwide in 2020, killing more people than the next three deadliest cancers combined.
“It’s the biggest cancer killer because it’s relatively common and relatively hard to treat, especially once it has reached an advanced stage,” says Florian Fintelmann, MGCC thoracic interventional radiologist and co-author on the new work. “In this case, it’s important to know that if you detect lung cancer early, the long-term outcome is significantly better. Your five-year survival rate is closer to 70 percent, whereas if you detect it when it’s advanced, the five-year survival rate is just short of 10 percent.”
Although there has been a surge in new therapies introduced to combat lung cancer in recent years, the majority of patients with lung cancer still succumb to the disease. Low-dose computed tomography (LDCT) scans of the lung are currently the most common way patients are screened for lung cancer with the hope of finding it in the earliest stages, when it can still be surgically removed. Sybil takes the screening a step further, analyzing the LDCT image data without the assistance of a radiologist to predict the risk of a patient developing a future lung cancer within six years.
OpenAI, the company behind the popular AI tool ChatGPT, announced on Monday that it has secured an additional investment running into billions of dollars from Microsoft.
Nairametrics understands that the investment will allow OpenAI to continue its independent research towards developing AI that is increasingly safe, useful, and powerful.
Note that the latest investment extends the partnership between the two tech companies.
Status quo remains: OpenAI also noted that the investment by Microsoft will not change its status as a capped-profit company, saying:
“In pursuit of our mission to ensure advanced AI benefits all of humanity, OpenAI remains a capped-profit company and is governed by the OpenAI non-profit. This structure allows us to raise the capital we need to fulfil our mission without sacrificing our core beliefs about broadly sharing benefits and the need to prioritize safety.
“Microsoft shares this vision and our values, and our partnership is instrumental to our progress.”
Summary: Combining new wearable technology and artificial intelligence, researchers are better able to track motion and monitor the progression of movement disorders.
Source: Imperial College London
A multi-disciplinary team of researchers has developed a way to monitor the progression of movement disorders using motion capture technology and AI.
In two ground-breaking studies, published in Nature Medicine, a cross-disciplinary team of AI and clinical researchers have shown that by combining human movement data gathered from wearable tech with a powerful new medical AI technology they are able to identify clear movement patterns, predict future disease progression and significantly increase the efficiency of clinical trials in two very different rare disorders, Duchenne muscular dystrophy (DMD) and Friedreich’s ataxia (FA).
DMD and FA are rare, degenerative, genetic diseases that affect movement and eventually lead to paralysis. There are currently no cures for either disease, but researchers hope that these results will significantly speed up the search for new treatments.
Tracking the progression of FA and DMD is normally done through intensive testing in a clinical setting. These papers offer a significantly more precise assessment that also increases the accuracy and objectivity of the data collected.
The researchers estimate that using these disease markers mean that significantly fewer patients are required to develop a new drug when compared to current methods. This is particularly important for rare diseases where it can be hard to identify suitable patients.
Scientists hope that as well as using the technology to monitor patients in clinical trials, it could also one day be used to monitor or diagnose a range of common diseases that affect movement behavior such as dementia, stroke and orthopedic conditions.
Senior and corresponding author of both papers, Professor Aldo Faisal, from Imperial College London’s Departments of Bioengineering and Computing, who is also Director of the UKRI Center for Doctoral Training in AI for Healthcare, and the Chair for Digital Health at the University of Bayreuth (Germany), and a UKRI Turing AI Fellowship holder, said, “Our approach gathers huge amounts of data from a person’s full-body movement—more than any neurologist will have the precision or time to observe in a patient.
“Our AI technology builds a digital twin of the patient and allows us to make unprecedented, precise predictions of how an individual patient’s disease will progress.
In February 2021, parts of the U.S. were engulfed by a series of severe winter storms. This resulted in a major electricity generation failure in Texas, where around 4.5 million homes lost power, 57 people died, and the cost of property damage surpassed $195 billion.
The electricity failures, largely attributed to the freezing of the state’s natural gas pipelines, highlighted the problems with the U.S. power grid. During the winter of 2021, production at Texas’ coal and nuclear plants also dropped, and similar events occurred in other states, including Kansas.
In the years since, various energy experts, politicians, and pundits have highlighted the need for major spending on grid-related infrastructure upgrades. What role could artificial intelligence (AI) play in supporting this transformation?
