Lifeboat Foundation

We’re currently working with companies that develop software and tools that make surgery smarter and safer while they empower surgeons and providers to improve patient outcomes, enhance operational efficiency and increase profitability with data-driven surgery using AI, automation and operating room analytics. This is where analytic components such as data lakes and warehouses are already making a difference in healthcare. We’ve seen them capable of powering millions of facts and patient records at a time. Tied to expertise, these tools allow data-informed decisions for measurable improvements in clinical, financial and operational aspects.

For instance, we’ve helped design and develop surgical applications to improve operating room efficiency, tele-surgery, data lake construction and surgical analytics. Clients come back with feedback on our skills and technical experience, feeling supported by the flexibility and technical boost we give their teams.

Collaboration between technology outsourcing companies and healthcare providers can result in considerable optimization, including improved patient care and maximized processes. Tech providers can strive for the perfect collaborative balance with the above key conversations while boosting robust ecosystems, shared platforms and data.

A soft robot inserted through a hole in the skull can deploy six sensor-filled legs on the surface of the brain to monitor electrical activity. The design has been tested in miniature pigs and could someday help people who experience epileptic seizures.

By Jeremy Hsu

The new rollout offers around 70 third-party plugins designed to enhance the capabilities of ChatGPT.

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Patch management approaches that aren’t data-driven are breaches waiting to happen. Attackers are weaponizing years-old CVEs because security teams are waiting until a breach happens before they prioritize patch management.

Cyberattackers’ growing tradecraft now includes greater contextual intelligence about which CVEs are most vulnerable. The result: Manual approaches to patch management — or overloading endpoints with too many agents — leaves attack surfaces unprotected, with exploitable memory conflicts.

With this Call for Proposals (CFP) we are targeting work that specifically supports the use of LLMs in productivity scenarios.

New AI tech will give a much-needed push for robot Astro, one of the most ambitious devices at Amazon that hasn’t yet lived up to expectations.

AI CREATING NEW TYPES OF JOBS

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Amazon, the online retail behemoth, has long been quiet about its plans for conversational artificial intelligence, even as its rivals Google and Microsoft make strides in developing and deploying chatbots that can interact with users and answer their queries.

Continue reading “Amazon job listings hint at ChatGPT-like conversational AI for online store” »

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

AI technology is exploding, and industries are racing to adopt it as fast as possible. Before your enterprise dives headfirst into a confusing sea of opportunity, it’s important to explore how generative AI works, what red flags enterprises need to consider, and how to evolve into an AI-ready enterprise.

One of the most common and powerful techniques for generative AI is large language models (LLMs), such as GPT-4 or Google’s BARD. These are neural networks that are trained on vast amounts of text data from various sources such as books, websites, social media and news articles. They learn the patterns and probabilities of language by guessing the next word in a sequence of words. For example, given the input “The sky is,” the model might predict “blue,” “clear,” “cloudy” or “falling.”

A Google AI document was leaked a few days ago, with groundbreaking revelations where the tech giant admits to being outpaced by open source AI! This video takes you through the details of the leak, highlighting how open source solutions are rapidly closing the quality gap and are becoming more capable, faster, and more private than the AI models developed by industry leaders like Google and OpenAI. We delve into what this means for the future of AI development, focusing on the role of open-source models, LoRA (Low Rank Adaptation), and the growing influence of public involvement.

The full article can be found here:
https://natural20.com/google-ai-documents-leak/