Lifeboat Foundation

One way to put dentists out of the drilling and filling business is to find a way to re-establish and stimulate something our bodies do when our teeth first form. Stem cell researchers at the University of Washington in Seattle may have figured out a potential treatment to repair damaged teeth and regenerate those we lose.

Hai Zhang, a professor of restorative dentistry at the University, along with several colleagues has found a way to generate ameloblasts. What are they? Ameloblasts are one of two cells that exist in human embryos responsible for the formation of our teeth. The other cells are called odontoblasts—the former secrete enamel, the latter dentin.

The process of tooth development is called odontogenesis. The two cells mentioned above are critical to tooth formation. Enamel keeps our teeth surfaces hard and strong throughout our lifetimes. Mineralization of teeth begins early in embryonic development. Dentin precedes enamel production, both critical to giving us a healthy set of choppers.

(Reuters) – Microsoft is planning to start selling a new version of Databricks software that helps customers make AI apps for their businesses, The Information reported on Thursday, citing people with direct knowledge of the plan.

Databricks – a data analytics platform that uses artificial intelligence, which Microsoft would sell through its Azure cloud-server unit – helps companies make AI models from scratch or repurpose open-source models as an alternative to licensing OpenAI’s proprietary ones, the report added.

Microsoft and Databricks did not immediately respond to a Reuters request for comment.

Presented by iMerit.

In AI development, success or failure lies significantly in a data science team’s ability to handle edge cases, or those rare occurrences in how an ML model reacts to data that cause inconsistencies and interrupt the usability of an AI tool. This is especially crucial now as generative AI, now newly-democratized, takes center stage. Along with increased awareness comes new AI strategy demands from business leaders who now see it as both a competitive advantage and as a game changer.

Artificial intelligence (AI) is no longer the future; it’s the everyday. We’ve become so accustomed to tapping into it for day-to-day tasks like searching the internet or choosing a movie to watch we barely even register that we’re using it.

Now, the advent of generative tools like OpenAI’s ChatGPT and Google’s Bard means that the power and transformative potential of AI is in the hands of every business, big or small.

Every day I work with businesses that are finding exciting new ways to put this technology to work. This can involve creating exciting new services, driving improved efficiency, or even disrupting entire industries.

Continue reading “Why Every Company Needs A Chief AI Officer” »

Elon Musk, the richest man in the world, revealed that one of the toughest choices he’s had to make in his life was when he had “$30 million dollars left.”

Musk, CEO of Tesla Inc. and SpaceX, revealed that choosing which company to invest his last $30 million in was tough.

Continue reading “Elon Musk Says One Of The Most Difficult Choices He Ever Had To Make Was When He Had ‘Just $30 Million Left’” »

A subsidy-fueled boom helped build China into an electric-car giant, but with an economic slowdown and hundreds of ride-hailing companies going bust, the country is facing a excess of unwanted batter-powered vehicles. Linda Lew reports on Bloomberg Television.
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WASHINGTON — Artificial intelligence startup Wallaroo Labs won a $1.5 million contract from the U.S. Space Force to continue the development of machine learning models for edge computers in orbit.

The New York-based company, known as Wallaroo.ai, is partnered with New Mexico State University for the Small Business Technology Transfer Phase 2 contract, announced Aug. 15. The team last year won a Phase 1 award.

Wallaroo.ai created a software platform that helps businesses assess the performance of AI applications when deployed on edge computers.

Smaller language models can be based on a billion parameters or less—still pretty large, but much smaller than foundational LLMs like ChatGPT and Bard. They are pre-trained to understand vocabulary and human speech, so the incremental cost to customize them using corporate and industry-specific data is vastly lower. There are several options for these pre-trained LLMs that can be customized internally, including AI21 and Reka, as well as open source LLMs like Alpaca and Vicuna.

Smaller language models aren’t just more cost-efficient, they’re often far more accurate, because instead of training them on all publicly available data—the good and the bad—they are trained and optimized on carefully vetted data that addresses the exact use cases a business cares about.

That doesn’t mean they’re limited to internal corporate data. Smaller language models can incorporate third-party data about the economy, commodities pricing, the weather, or whatever data sets are needed, and combine them with their proprietary data sets. These data sources are widely available from data service providers who ensure the information is current, accurate, and clean.

Tesla says it will build new “1st of its kind” data centers. The automaker is hiring staff for it and snapping up some existing data centers.

The data center business is now massive with a market size of more than $250 billion.

Most of the biggest companies in the world, which are known to consumers for other products, are in it, like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Meta Platforms (Facebook).