Stanford HAI AI Index Report: Science and Medicine
EnterpriseAI
by Kevin Jackson
3d ago
While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Researching both the world around us and the bodies we inhabit has consistently resulted in better lives for everyone, and AI tools offer a great leap forward for these efforts. Much of science is tedious, boring work that demands repetition and close attention – both of which are areas that AI accel. Therefore, it makes sense that Stanford’s Institute for Human-Centered AI (HAI) introduced the new Science and Medicine chapter of its annual AI ..read more
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Forschungszentrum Jülich is Developing New AI Foundations Models to Advance Scientific Applications
EnterpriseAI
by Ali Azhar
4d ago
There are huge volumes of data being generated in the field of science. However, the full potential of the data can only be realized if scientists can analyze ever-increasing amounts of data. The recent advances in the field of AI offer an opportunity to tackle this challenge.  Forschungszentrum Jülich, together with its partner institutions within the Helmholtz Association, is on a mission to build a new generation of AI foundation models for science. Several pilot projects have been launched to take the application of AI in science to a new level.  The foundation models are AI neur ..read more
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Scientists Use Machine Learning To Prove The Existence of a Rare Phase Of Matter
EnterpriseAI
by Ali Azhar
5d ago
At first glance, glass and crystal may look similar, however, when viewed under a microscope, their structures are significantly different. While crystals have perfectly ordered and repeating patterns of atoms, glass has a fluid-like disordered structure.  In the world of Physics, the glass phase is considered as a special form of matter. On short timescales, glass behaves much like a solid. However, over a longer period of time, glass behaves more like a liquid. It exists right at the intersection of solid and liquid, making their nature elusive to the traditional classification of matte ..read more
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AWS Announces New Capabilities for Amazon Bedrock
EnterpriseAI
by Kevin Jackson
5d ago
Amazon Web Services (AWS) added to its AI holdings today with new Amazon Bedrock offerings that are positioned to assist companies with developing generative AI applications and experiences. With large organizations like the New York Stock Exchange and Ryanair relying heavily on Amazon Bedrock services, it's clear that this platform holds a lot of value. However, many of the updates announced today by Amazon are meant to help organizations of any size create and improve generative AI applications in a more granular and security-focused manner. Custom Model Import and Model Evaluation One of th ..read more
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Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI
EnterpriseAI
by Ali Azhar
6d ago
As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical. A computer system that can mimic the way humans process and store data could be of immense value. It has the potential to enhance the capabilities of AI models in terms of energy efficiency, bias mitigation, interpretability, and adaptability. Intel has announced the creation of Hala Point, a brain-inspired neuromorphic system for sustainable and efficient AI. With its 1152 Loihi 2 processors, Hala Point can support up to 20 quadrillion opera ..read more
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Unleashing Near Real-Time Insights with Starburst’s Icehouse Architecture
EnterpriseAI
by Tobias Ternstrom, Chief Product Officer at Starburst
6d ago
The data industry loves coming up with new solutions to old problems. Starting with the database, followed by the data warehouse, and then the data lake. Now, most of what we talk about is the data lakehouse. However, we should all take less interest in the latest term of the day and instead pay attention to actual adoption patterns. That’s why when Justin Borgman, CEO of Starburst, published his Icehouse manifesto shortly after I joined—noting the adoption of Trino and Apache Iceberg amongst data leaders like Netflix, Apple, Shopify, and Stripe —I sat up a little straighter in my chair. “Now ..read more
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Meta Joins the AI Race with the Llama 3 Model
EnterpriseAI
by Kevin Jackson
1w ago
The race is on to create the best AI tool. While the likes of Google and ChatGPT are already deeply invested in the field, other companies have lagged behind. As of this Thursday, Meta is no longer one of those companies. Meta – which is the parent company of Facebook, Instagram, and WhatsApp – is joining the competitive field of AI tools with its powerful model Llama 3. Called Meta AI, this new AI assistant is now integrated into the search bar of all the company’s tech holdings. What’s more, Meta AI can also be accessed via a specific website built for the tool. Much like Llama 2, Llama 3 is ..read more
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Empowering High-Performance Computing for Artificial Intelligence
EnterpriseAI
by Nages Sieslack
1w ago
Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing (HPC) has become a crucial enabler in the AI ecosystem, offering key technologies for meeting performance requirements and providing an active user community that pushes AI to its limits in science and engineering.  The ISC High Performance 2024 conference and exhibition (ISC 2024) is a unique opportunity for a businesses, research organizations, service providers, or ..read more
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Stanford HAI AI Index Report: Responsible AI
EnterpriseAI
by Kevin Jackson
1w ago
As AI tools find their way into just about every aspect of modern life, the question remains as to how society can ensure this technology is developed and used responsibly. The efficiency of AI offers many advantages, but it could also introduce new problems. Photo of Anka Reuel.   Credit: Stanford University Issues specifically dealing with privacy, data governance, transparency, explainability, fairness, security, and safety all fall under the purview of responsible AI. The responsible implementation of AI is so important that Stanford University’s Institute for Human-Centered AI ..read more
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MRII Study Reveals Market Researchers Have a Positive Attitude Toward AI at the Workplace
EnterpriseAI
by Ali Azhar
1w ago
The first round of data from a global study by Market Research Institute International (MRII) reveals that market researchers are feeling positive about GenAI’s potential to enhance job performance through better efficiency, insights generation, and accuracy.  The MRII study is based on a survey of 369 market research professionals from around the globe. The survey was conducted by MRII sponsor QuestinPro. To gather a deeper qualitative understanding of the responses,  Brand Riffs, another sponsor of MRII, conducted seven one-on-one interviews with the survey respondents.  The o ..read more
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