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Category: robotics/AI – Page 890

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

The paper, “Discovering small-molecule senolytics with ,” authored in collaboration with researchers from the Massachusetts Institute of Technology (MIT) and the Broad Institute of MIT and Harvard, describes the AI-guided screening of more than 800,000 compounds to reveal three with comparable efficacy and superior medicinal chemistry properties than those of senolytics currently under investigation.

“This research result is a for both longevity research and the application of artificial intelligence to ,” said Felix Wong, Ph.D., co-founder of Integrated Biosciences and first author of the publication. “These data demonstrate that we can explore chemical space in silico and emerge with multiple candidate anti-aging compounds that are more likely to succeed in the clinic, compared to even the most promising examples of their kind being studied today.”

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One fish, swimming alone, encountering a robotic fish impersonator will be wary and tend to avoid the robot, but a group of real fish are more likely to accept the robot as one of their own, and sometimes even abandon other real fish to follow the robot.

Those are the findings of engineers from Peking University and China Agricultural University who created a realistic koi fish robot, and placed one or two in a tank with real fish to see how they would respond.

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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.

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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.

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AI CREATING NEW TYPES OF JOBS

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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.

But a new pair of job postings may have just offered a glimpse into Amazon’s ambitions. The job postings, which were first discovered and reported by Bloomberg, described a new search functionality for Amazon’s web store that would feature a chat interface powered by a technology similar to ChatGPT, one of the world’s leading natural language AI systems.

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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.”

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