Category: AI

By Bharat Sharma

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.

Continue reading… “Google’s Experimental Artificial Intelligence Bot Can Create Music From Scratch”

“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.

Continue reading… “CHATGPT’S EXPLOSIVE POPULARITY MAKES IT THE FASTEST-GROWING APP IN HUMAN HISTORY”

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.

Continue reading… “MIT researchers develop an AI model that can detect future lung cancer risk”

By Samson Akintaro

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.” 

Continue reading… “Microsoft injects billions into ChatGPT to deepen AI research”

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.

Continue reading… “Wearable Tech and AI Combine to Track Progression of Movement Disorders”

By Laura Ross

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?

Continue reading… “How Artificial Intelligence Could Transform the U.S. Power Grid”

Microsoft researchers have announced a new application that uses artificial intelligence to ape a person’s voice with just seconds of training. The model of the voice can then be used for text-to-speech applications.

The application called VALL-E can be used to synthesize high-quality personalized speech with only a three-second enrollment recording of a speaker as an acoustic prompt, the researchers wrote in a paper published online on arXiv, a free distribution service and an open-access archive for scholarly articles.

There are programs now that can cut and paste speech into an audio stream, and that speech is converted into a speaker’s voice from typed text. However, the program must be trained to emulate a person’s voice, which can take an hour or more.

“One of the standout things about this model is it does that in a matter of seconds. That’s very impressive,” Ross Rubin, the principal analyst at Reticle Research, a consumer technology advisory firm in New York City, told TechNewsWorld.

According to the researchers, VALL-E significantly outperforms existing state-of-the-art text-to-speech (TTS) systems in both speech naturalness and speaker similarity.

Moreover, VALL-E can preserve a speaker’s emotions and acoustic environment. So if a speech sample were recorded over a phone, for example, the text using that voice would sound like it was being read through a phone.

Continue reading… “Microsoft’s New AI Can Simulate Anyone’s Voice From a 3-Second Sample”

A team of scientists has developed a new tool to map out the planets

By Cheyenne R. Ubiera

A TEAM of scientists has developed a new open-source tool, powered by artificial intelligence, to map out the planets. 

Researchers from Constructor University in Bremen, Germany, the University of Padua, and the University of Bologna from Italy came together for the project.

The goal was to change the way planetary landforms are mapped out as the current system is a multi-step process that is extremely time-consuming, such as the case of mapping surfaces on Mars.

The team found that using deep-learning techniques using artificial neural networks to analyze data sets could improve the production process.

It also allowed for the creation of an open-source, ready-to-use, and highly customizable tool for planetary mapping.

“We were interested in designing a simple, out-of-the-box tool that can be customized and used by many,” said Giacomo Nodjoumi, who was involved in the project.

Continue reading… “Artificial intelligence to map all planets and could change our plans for Moon and Mars”

Microsoft ChatGPT does more than just act as a search and learn information dynamic ⁠— it claims to be able to create what you want, in seconds.

By Brian McGleenon

Microsoft (MSFT) is going all in on ChatGPT, an artificial intelligence (AI) technology that could power a new search engine that could disrupt the dominance of Google (GOOG).

News site Semafor reported on Tuesday that Microsoft is investing $10bn (£8.2bn) in OpenAI, the artificial intelligence firm that launched the AI generative tool ChatGPT in November 2022.

This will value the San Francisco-based firm at $29bn, and industry analysts say that Google should pay close attention to the deal.

Microsoft spends billions of dollars every year to try to compete with Google’s search engine dominance, but with comparatively low user interaction on Bing they have failed for over a decade.

Microsoft has so far failed to replicate the algorithm that powers Google search but if they incorporate the AI generating power of ChatGPT into Bing, or a new search engine, this could be “a game changer”, an industry commentator has suggested.

Web3 for enterprise expert Filippo Chisari told Yahoo Finance UK: “I believe Microsoft are most likely looking to build a search engine that will give them a competitive advantage over others.

Continue reading… “Microsoft’s ChatGPT investment could create ‘game-changer’ AI search engine”

The CEO of DoNotPay, Joshua Browder, introduced the A.I lawyer to the world on his Twitter. In his tweet, he shared a screen recording of the futuristic technology at work. 

Technology is taking over the world at a lightning-fast speed. If you are impressed by self-driving cars, brace yourself for an AI-powered robot lawyer. The impressive world’s first-ever robot lawyer will represent a client in an actual court. The CEO of DoNotPay, Joshua Browder, introduced the A.I lawyer to the world on his Twitter. In his tweet, he shared a screen recording of the futuristic technology at work. Browder mentioned that this clip showed DoNotPay’s ChatGPT bot talking to the Comcast Chat. This was the first ever Comcast bill negotiated. It is meant to save DoNotPay’s engineers $120 per year on Internet bills. This service will be publicly available soon. It will work on online forms, chat, and email. Browder also mentioned that the A.I is not perfect yet, saying that it is a bit too polite. But it will be improved before launch. Check it out here:

Watching the bot going at it in the clip was both entertaining and impressive for social media users. They were laughing over the A.I trying to get the final ‘thank you’ in, totally understanding what Joshua Browder meant when he tweeted it was “a bit too polite”. A social media user wrote, “For a second I thought there’d be this infinite loop when the agent said ‘You are very welcome’ and GPT said ‘Thank you again’.”

Continue reading… “World’s First Robot Lawyer to Defend Human in Speeding Ticket Case in US”

Karen Levy, author of the book “Data Driven: Truckers, Technology, and the New Workplace Surveillance,” says AI tech is becoming common in trucking, to the dismay of truckers

Trucking can be dangerous job – long, often tedious hours behind the wheel, the unpredictability of the weather and of course, other drivers.

And yet, trucking is an essential part of supply chain. 72% of the nation’s freight gets from point A to point B in a truck, according to the American Trucking Associations.

Most of those holiday gifts you might be enjoying right now got to you on a truck. So truck drivers are an essential part of our economy.

The companies that hire and manage those drivers have started bringing a lot more technology into big rigs, including artificial intelligence and sometimes automation.

Marketplace’s Kimberly Adams spoke with Karen Levy, author of “Data Driven: Truckers, Technology, and the New Workplace Surveillance” about how these tools are being used in the industry. 

The following is an edited transcript of their conversation.

Continue reading… “How AI is disrupting the trucking sector”