Lifeboat Foundation

Meta, Canva, and Shopify among other companies are already using the technology that undergirds ChatGPT in their customer service chatbots, but experts warn that companies should be wary of generative AI’s creativity and unpredictability.

From processing an order return at Shopify to resetting a password for a Canva account, chances are that the chatbot you’ve interacted with uses the same type of large language models that power ChatGPT, OpenAI’s viral generative AI chatbot.

Now Ada, the Toronto-based company that automates 4.5 billion customer service interactions, has partnered with OpenAI to use GPT-3.

Across much of the country, the holidays were ushered in with strong winter storms, with every region of the country impacted by extreme weather from Christmas into the new year. The West Coast has experienced the most recent extreme weather with its third atmospheric river event in just three weeks bringing record rainfall and winds along the California coast. Buffalo, NY, is still digging out from its record holiday snowstorm and much of the Northern Plains saw record snowfalls just last week. The southern states weren’t spared from extreme winter weather with Florida and other parts of the southeast experiencing record cold temperatures over Christmas. While these weather events are all quite different — from heavy snows to rain to extreme cold — the one thing they have in common is the challenge it brings to the 1,400 utility companies across the country.

Extreme weather events are increasing, and utilities and customers alike are feeling the impact. According to Climate Central, the United States has experienced a 67% increase in major power outages from weather-related events since 2000, a trend predicted to continue as extreme weather events increase in frequency. With these most recent weather events across the country, on Christmas Eve alone, over 1.6 million U.S. customers were without power. The troubles continue now in California with nearly 196,000 Californians without power last week and more storms over the Pacific ready to move in bringing similar conditions.

Large utilities have been effectively using predictive weather analytics to prepare and pre-stage crews to help manage restoration efforts during major weather events like we just saw. But the majority of small to mid-size utilities still rely on traditional forecasts, severe weather updates and immediate impact assessments to make decisions around operations, safety and resource allocation. Recent advancements in technology, data modeling and cloud computing are making enterprise technology, such as machine learning for weather risks, more accessible to utilities of all sizes.

You might be rolling your eyes as you see the drone take off to the skies and hover over the Australian coastline, camera angled straight down towards the glistening turquoise water. “Another TikTok influencer trying to get the perfect shot,” you grumble to yourself. But if you look closely at the pilot, you’ll notice they’ve got a sign next to them that says “Keep Clear” in bright yellow and red letters. This is no TikTok influencer.

It’s an Australian surf lifesaver, using the above drone to spot sharks at the beach before they get too close to swimmers like yourself.

Continue reading “Can Drones And Artificial Intelligence Keep Us Safe From Sharks?” »

Updating CRMs after each call is an important task for sales representatives, but it means a lot of administrative work that takes time away from actually selling…

Microsoft has reportedly been looking at ways of integrating OpenAI’s GPT features into Word, Outlook, and PowerPoint.

Microsoft has been reportedly experimenting with building OpenAI’s language AI technology into its Word, PowerPoint, and Outlook apps. The Information.

Microsoft has reportedly been using OpenAI’s GPT technology to improve Outlook search results so users can find what they’re looking for without having to search using keywords in emails.

Continue reading “Microsoft is looking at OpenAI’s GPT for Word, Outlook, and PowerPoint” »

Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy and computational power.

Engineers worldwide have thus been trying to develop alternative hardware solutions that can run artificial intelligence models more efficiently, as this could promote their widespread use and increase their sustainability. Some of these solutions are based on memristors, memory devices that can store information without consuming energy.

Researchers at Université Paris-Saclay-CNRS, Université Grenoble-Alpes-CEA-LETI, HawAI.tech, Sorbonne Université, and Aix-Marseille Université-CNRS have recently created a so-called Bayesian machine (i.e., an AI approach that performs computations based on Bayes’ theorem), using memristors. Their proposed system, introduced in a paper published in Nature Electronics, was found to be significantly more energy-efficient than currently employed hardware solutions.

Analysis of chatter on dark web forums shows that efforts are already under way to use OpenAI’s chatbot to help script malware.

Cyclists are supposed to wear helmets to protect them from any untoward accidents while riding through the city on their bicycles. While the helmet can protect from serious brain injury, other parts of the body can be exposed to both minor and serious injuries in case they encounter other vehicles and even pedestrians. It would be nice if there’s a sort of airbag that can shield them from injuries in case an accident happens and that said airbag will be portable enough for them to carry around.

Designer: In&Motion.

Taming rays of light and bending them to your will is tricky business. Light travels fast and getting a good chunk of it to stay in one place for a long time requires a lot of skillful coaxing. But the benefits of learning how to hold a moonbeam (or, more likely, a laser beam) in your hand, or on a convenient chip, are enormous. Trapping and controlling light on a chip can enable better lasers, sensors that help self-driving cars “see,” the creation of quantum-entangled pairs of photons that can be used for secure communication, and fundamental studies of the basic interactions between light and atoms—just to name a few.

Of all the moonbeam-holding chip technologies out there, two stand the tallest: the evocatively named whispering gallery mode microrings, which are easy to manufacture and can trap light of many colors very efficiently, and photonic crystals, which are much trickier to make and inject light into but are unrivaled in their ability to confine light of a particular color into a tiny space—resulting in a very large intensity of light for each confined photon.

Recently, a team of researchers at JQI struck upon a clever way to combine whispering gallery modes and photonic crystals in one easily manufacturable device. This hybrid device, which they call a microgear photonic crystal ring, can trap many colors of light while also capturing particular colors in tightly confined, high-intensity bundles. This unique combination of features opens a route to new applications, as well as exciting possibilities for manipulating light in novel ways for basic research.