Lifeboat Foundation

• Explore the specific opportunities that AI offers your industry. This will help you weigh up the potential benefits and how you can leverage them to your advantage. Many AI solutions to specific needs are already available, simplifying and speeding up their implementation.

• Start with small projects that allow you to try out technologies and evaluate their effectiveness. For instance, supervised AI only serves as an assistant and does not independently carry out a specific function. ChatGPT can be used to describe a work-related problem, allowing you to see what AI advises. Describe a decision that you’re about to make and ask what you could improve or add, or ask them to generate an answer to a question from a question, which will give your great perspective. ChatGPT and similar solutions can help small businesses in their everyday operations without major investments.

AI integration in e-commerce holds immense potential for small businesses to streamline operations, personalize customer experiences and gain a competitive edge. By starting with small projects and gradually incorporating AI, SMEs can unlock new opportunities and drive their businesses toward greater success.

University of ChicagoFounded in 1,890, the University of Chicago (UChicago, U of C, or Chicago) is a private research university in Chicago, Illinois. Located on a 217-acre campus in Chicago’s Hyde Park neighborhood, near Lake Michigan, the school holds top-ten positions in various national and international rankings. UChicago is also well known for its professional schools: Pritzker School of Medicine, Booth School of Business, Law School, School of Social Service Administration, Harris School of Public Policy Studies, Divinity School and the Graham School of Continuing Liberal and Professional Studies, and Pritzker School of Molecular Engineering.

Dr. Sylvain Moreno is chief executive officer and scientific director of Circle Innovation.

Artificial intelligence (AI) holds great promise in the fight against ageism, and future technologies powered by AI can be a first step to ensure older adults are fully involved in the processes, systems and, ultimately, services that will affect them throughout the aging journey.

Healthcare providers, governments, academia, not-for-profits and businesses can ensure that AI is not only strengthening healthcare for older adults but also empowering them to meet their individual needs.

ChatGPT’s capabilities in comparison are miniscule even when using GPT-4.

Claude AI, the ChatGPT-rival from Anthropic, can now comprehend a book containing about 75,000 words in a matter of seconds. This is a huge leap forward for chatbots as businesses seek technology that can churn out large pieces of information quickly.

Continue reading “ChatGPT rival Claude AI can comprehend an entire book in seconds” »

Last week, around 4,000 IBM employees, customers, and partners attended IBM Think, the company’s annual conference, to hear the latest innovations, updates, and news from IBM. This year’s event came with many announcements, but with AI in focus, its announcement of watsonx drew significant attention—with the market zeroing in on the substantial opportunities around AI.

After attending the event, and hearing from IBM executives as well as following the broad swath of recent AI and generative AI announcements, I believe that IBM’s announcement of watsonx is a significant milestone in the advancement of enterprise AI. Built on top of the Red Hat OpenShift platform, watsonx offers a full tech stack for training, deploying, and supporting AI capabilities across any cloud environment This move by IBM is indicative of the growing importance of supporting generative AI, and the potential for businesses to benefit from the ease and reliability of this technology. As I see it, this announcement is one of the more important announcements tying together much of the exciting generative AI news and analysis with the more practical connective tissues that will drive meaningful adoption in the enterprise.

Watsonx features three different components: watsonx.ai, watsonx.data, and watsonx.governance. The first component, watsonx.ai, is a design studio for base models, machine learning, and generative AI. It can be used to train, tune, and deploy AI models including IBM supplied models, open-source models, and client provided models, and is currently in preview with select IBM clients and partners, and is expected to be available to the general public in July.

Update: The image for the ChatGPT 3.5 and vicuna-13B comparison has been updated for readability.

With the launch of Large Language Models (LLMs) for Generative Artificial Intelligence (GenAI), the world has become both enamored and concerned with the potential for AI. The ability to hold a conversation, pass a test, develop a research paper, or write software code are tremendous feats of AI, but they are only the beginning to what GenAI will be able to accomplish over the next few years. All this innovative capability comes at a high cost in terms of processing performance and power consumption. So, while the potential for AI may be limitless, physics and costs may ultimately be the boundaries.

Tirias Research forecasts that on the current course, generative AI data center server infrastructure plus operating costs will exceed $76 billion by 2028, with growth challenging the business models and profitability of emergent services such as search, content creation, and business automation incorporating GenAI. For perspective, this cost is more than twice the estimated annual operating cost of Amazon’s cloud service AWS, which today holds one third of the cloud infrastructure services market according to Tirias Research estimates. This forecast incorporates an aggressive 4X improvement in hardware compute performance, but this gain is overrun by a 50X increase in processing workloads, even with a rapid rate of innovation around inference algorithms and their efficiency. Neural Networks (NNs) designed to run at scale will be even more highly optimized and will continue to improve over time, which will increase each server’s capacity. However, this improvement is countered by increasing usage, more demanding use cases, and more sophisticated models with orders of magnitude more parameters. The cost and scale of GenAI will demand innovation in optimizing NNs and is likely to push the computational load out from data centers to client devices like PCs and smartphones.

Technology As A Force For Good In People’s Lives — Dr. Emre Ozcan, PhD, VP, Global Head of Digital Health & Walid Mehanna, Group Data Officer And Senior Vice President, Merck KGaA, Darmstadt, Germany.

EPISODE DISCLAIMER — At any time during this episode when anyone says Merck, in any context, it shall always be referring to Merck KGaA, Darmstadt, Germany.

Continue reading “Dr. Emre Ozcan & Walid Mehanna — Merck KGaA, Darmstadt, Germany — Tech As A Force For Good In Health” »

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Ever since the launch of ChatGPT in late 2022, AI has grabbed the attention of people and businesses around the world. This technology was previously understood as highly promising but a topic for the future. Today, it has loudly announced itself, catching businesses off-guard as they mobilize to make sense of its exciting potential to automate processes and supercharge efficiencies.

One important aspect to examine is where investors are currently focusing their attention. This latest wave of AI has focused early attention on those startups and businesses already using AI in their products and services (loosely termed AI adopters). Other factors to consider are whether investors are pausing their investments and causing illiquidity in the market. In this, investors consider likely consequences and disruptions across industries and update their commercial and technical due diligence approaches as they look to side-step hazards and seize opportunities.

Unlike other businesses pushing clean nuclear energy, Helion is working on a “pulsed non-ignition fusion system.”

Microsoft Corporation has placed a big bet on Helion by agreeing to purchase power generated by its nuclear fusion process. Helion is also backed by Sam Altman, the OpenAI CEO with whom Microsoft is spearheading the artificial intelligence (AI) race.

Nuclear fusion is the holy grail of clean energy as it promises the generation of power without the emission of carbon or hassles of radioactive nuclear waste.

Continue reading “Microsoft bets big on Sam Altman-backed Helion to deliver clean fusion energy by 2028” »