Category: AI

The researchers created a digital model of psychology aimed to improve mental health. The system offers superior personalization and identifies the shortest path toward a cluster of mental stability for any individual.

Deep Longevity, in collaboration with Harvard Medical School, presents a deep learning approach to mental health.

Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, an authority on happiness and beauty.

The authors created two digital models of human psychology based on data from the Midlife in the United States study.

The first model is an ensemble of deep neural networks that predicts respondents’ chronological age and psychological well-being in 10 years using information from a psychological survey. This model depicts the trajectories of the human mind as it ages. It also demonstrates that the capacity to form meaningful connections, as well as mental autonomy and environmental mastery, develops with age. It also suggests that the emphasis on personal progress is constantly declining, but the sense of having a purpose in life only fades after 40-50 years. These results add to the growing body of knowledge on socioemotional selectivity and hedonic adaptation in the context of adult personality development.

Continue reading… “Harvard Developed AI Identifies the Shortest Path to Human Happiness”

Plus: Yandex releases 100-billion-parameter language model for free, and more

By Katyanna Quach

IN BRIEF US hardware startup Cerebras claims to have trained the largest AI model on a single device powered by the world’s largest Wafer Scale Engine 2 chip the size of a plate.

“Using the Cerebras Software Platform (CSoft), our customers can easily train state-of-the-art GPT language models (such as GPT-3 and GPT-J) with up to 20 billion parameters on a single CS-2 system,” the company claimedthis week. “Running on a single CS-2, these models take minutes to set up and users can quickly move between models with just a few keystrokes.”

The CS-2 packs a whopping 850,000 cores, and has 40GB of on-chip memory capable of reaching 20 PB/sec memory bandwidth. The specs on other types of AI accelerators and GPUs pale in comparison, meaning machine learning engineers have to train huge AI models with billions of parameters across more servers.

Even though Cerebras has evidently managed to train the largest model on a single device, it will still struggle to win over big AI customers. The largest neural network systems contain hundreds of billions to trillions of parameters these days. In reality, many more CS-2 systems would be needed to train these models. 

Machine learning engineers will likely run into similar challenges to those they already face when distributing training over numerous machines containing GPUs or TPUs – so why switch over to a less familiar hardware system that does not have as much software support?

Continue reading… “Cerebras sets record for ‘largest AI model’ on a single chip”

By Lauren Forristal

Today, IKEA is launching a new AI-driven interactive design experience called IKEA Kreativ for IKEA.com and the IKEA app. With the new feature, U.S. customers can design and visualize their own living spaces with digitalized furniture on their smartphones instead of traveling to the brick-and-mortar store where they are likely to be distracted by the warehouse-shaped labyrinth of showrooms, blue shopping bags and Swedish meatballs.

Currently, the IKEA Kreativ feature is available on iOS devices and desktops. It will be coming to Android devices later this summer. The AI (Artificial Intelligence) experience is expected to launch in additional countries in September. However, there are no exact launch dates.

With IKEA Kreativ, the company continues taking steps toward digital transformation. According to IKEA, it is the home retail industry’s first fully featured mixed-reality design experience for lifelike and accurate interior design, bridging the gap between e-commerce and in-store customer journeys.

Virtual home design platforms aren’t new. In fact, the Swedish retailer was one of the first furniture companies to ride the AR wave in 2017 with its IKEA Place app. The app works with Apple’s ARKit to allow customers to scan a room and place an IKEA chair, bed, etc., in the space. There is also visual search tech that recommends similar furniture when a user scans an item that already exists in their home. Amazon, Wayfair, Target, The Home Depot, Overstock, Houzz and others have implemented AR apps to help clients design a room with purchasable products, too.

Continue reading… “IKEA ROLLS OUT AN AI-POWERED INTERACTIVE DESIGN EXPERIENCE FOR SHOPPERS”

Turing AI has added people attribute search, a game changing feature in AI Security, to their flagship AI-powered video security platform Turing Vision. While other camera-based security systems rely on facial recognition and object detection alone to secure facilities and locate events, people attribute search adds several factors to identification, improving speed and accuracy of finding and identifying people at the scene of events.

Turing AI has added people attribute search, a game changing feature in AI Security, to their flagship AI-powered video security platform Turing Vision. While other camera-based security systems rely on facial recognition and object detection alone to secure facilities and locate events, people attribute search adds several factors to identification, improving speed and accuracy of finding and identifying people at the scene of events.

“I truly believe this is where the industry is heading when it comes to AI security and Turing AI is proud to be among the leaders implementing this technology [Attribute Search].” – Ron Rothman, President of Turing AI

Continue reading… “Turing AI Launches People Attribute Search in Their AI-powered Video Security Platform”

Sharp Sight Eye Hospitals introduces an AI-based cataract screening solution available on Whatsapp with Logy.ai technology, which yields an accuracy of 92%. 

By Disha Chopra

Logy.ai, in collaboration with Sharp Sight Eye Hospitals, New Delhi, has introduced AI as a screening solution to identify cataracts with an accuracy of 92%. The innovation presents a simple chatbot on WhatsApp and would not require any additional application. The screening can be done in rural areas. 

Logy.ai is an intelligent care service provider aiming to bring AI with a user-friendly interface. In recent developments, the company has helped Sharp Sight Eye Hospitals to solidify its position as a leading eye care provider that uses AI for health screening. The latter is an established eye care provider with over 10 lakh successful procedures and surgeries in its 14 facilities in North and East India centers. 

Priyanjit Ghosh, Co-founder, and CEO, of Logy.ai, expressed that Sharp Sight Eye Hospitals is a proactive partner with the firm. Their partnership synergizes with Logy.ai’s vision of new-era technologies like AI to promote health screening. The collaboration aims to build top-of-the-line AI products in the healthcare domain and bridge the gap between technology and medicine. 

Continue reading… “Logy.ai Introduces India’s First AI-based Cataract Screening Solution with Sharp Sight Eye Hospitals”

Pay no attention to the machine learning algorithm behind the curtain.

By Janus Rose

DALL-E, the AI system that generates images from text prompts, has captured the internet’s imagination over the past few months. Literally.

Created by OpenAI, DALL-E is the latest in a series of tools that seem to tap into the internet’s subconscious, using massive datasets of text and images to parse and reproduce human language with uncanny accuracy. The system uses a machine learning model with billions of individual parameters to illustrate whatever phrases you feed into it, resulting in bizarre and often shockingly realistic renderings—though oftentimes with predictably racist and sexist tropes.

But while access to DALL-E is currently only being offered to a select list of artists and researchers, open source AI systems that attempt to replicate OpenAI’s model have recently sprouted up, allowing anyone to try their hand at human-machine artistic collaboration.

One model in particular, called DALL-E Mini, has practically achieved meme status over the past week. Hosted on the AI repository HuggingFace, the demo’s massive volume of users has caused long delays to complete requests, as social feeds fill with images generated from all kinds of absurd prompts. (“Gender reveal 9/11” and “Aileen Wuornos on Drag Race” are among the many deranged highlights)

Given how so many humans are now collaborating with AI models to make art, I felt it was only fair to ask the AI to reveal itself as a self-portrait. 

Continue reading… “We Asked an AI to Draw a Self-Portrait”

By  Rupendra Brahambhatt

And without any human involvement.

A team of researchers from the College of Artificial Intelligence at Nankai University in China has developed a fully automated method to create pig clones. For the first time, seven healthy cloned piglets were born to a surrogate mother in March without any human intervention using the same method. 

China is currently the biggest pork producer and consumer in the world. The pig population in the country stands at over 400 million, and pork consumption is between 30 and 35 kg per capita. A large share of the meat eaten in China is pork, and the available stock in the country is never enough to meet the demand. This is why China has to import millions of tons of expensive pig meat every year; even in 2021, the country purchased 3.31 million metric tonnes of pork.

Liu Yaowei, one of the researchers at Nankai University, believes that their AI-powered automated pig cloning method can significantly increase China’s pig population and make the country completely self-sufficient in pork production.

Continue reading… “Scientists in China have successfully cloned pigs using only AI in a world first”

It was the veritable search for a needle in a haystack. With drug-resistant bacteria on the rise, researchers at MIT were sifting through a database of more than 100 million molecules to identify a few that might have antibacterial properties. 

Fortunately, the search proved successful. But it wasn’t a human who found the promising molecules. It was a machine learning program. 

One compound has been patented under the name Halicin in homage to HAL, the artificial intelligence (AI) in Arthur C Clarke’s classic 2001: A Space Odyssey. Halicin works differently from existing antibiotics, disrupting the bacteria’s ability to access energy, and researchers hope bacteria may struggle to develop resistance to it. 

Halicin might be the first antibiotic discovered using AI, but AI programs have played an important role in other patented inventions from electrical circuits, through meta-materials and drugs, to consumer products such as toothbrushes. As we argue in a recent article in Nature, society urgently needs to consider the impact of AI on the innovation system, particularly on laws regarding intellectual property and patents.

Continue reading… “Artificial ‘inventors’ are pushing patent law to its limits”

By Lucy Harley-McKeown

The new venture — dubbed QuantumLight Capital — will be worth around $200 million, with funds supplied by Storonsky and other investors, Forbes reported on Tuesday. 

“We are built as a technology company by a team of tech unicorn founders, quant traders, AI scientists and engineers,” the QuantumLight website states. The fund will identify investment opportunities using a machine called Aleph as its “proprietary quantitative decision engine.” 

According to Forbes, QuantumLight will be focused mainly on Series B and Series C rounds, based on software which eliminates “human judgement.” Storonsky argues that the model is designed to eliminate the clubby world of venture capital, where decisions are made through a crowd mentality. 

Continue reading… “Revolut founder set to launch venture capital fund powered by artificial intelligence”

Orca AI specialises in developing software, especially for maritime vessels, and claims to be working toward reducing human-caused errors.

By Harsh Vardhan 

A 749 gross-ton autonomous vessel successfully completed a 40-hour-long journey without any human assistance. Touted as the world’s first autonomous commercial cargo ship, it was equipped with Orca AI’s technology which helped it travel through the congested waters of Tokyo Bay. Interestingly, the vessel was able to avoid hundreds of collisions along its way and completed 99% of its journey alone, Electrek reported. 

Continue reading… “Orca AI-driven Autonomous Ship Sails 800 Km In Tokyo Bay Without Human Assistance”

Breaking up is hard to do.

That’s certainly true for common plastics like polyethylene terephthalate (PET).  A water bottle made of a thin film of PET (perhaps half a millimeter thick) takes about 450 years to degrade.  Along the way it will exist as microplastics, which are so pervasive they are even turning up in living people’s lung tissue, as we saw for the first time just a month ago.  And even those kinds of numbers are guesstimates because many studies don’t last long enough to see any appreciable degradation of PET at all.

A lot of efforts to produce biodegradable and bioresorbable plastics are making good progress, and that’s great for the future, but what about the mountains of plastic that already exist and that we keep on generating?  In the U.S., the landfill rate for discarded plastics is still about 75%!  We have a lot of work to do.

Good thing Hal Alper’s chemical engineering lab at the University of Texas is on the job.  In the April 27 issue of Nature, they report on an enzyme they developed called FAST-PETase.  Designed with the help of artificial intelligence, it degrades untreated postconsumer PET not in centuries, but in days.  And this can be done at temperatures of 50°C and below, where many types of bacteria can thrive.  See where this is going?

Continue reading… “Waste plastic broken down not in centuries but in days by an AI-engineered enzyme”