Latest news with #Vahdat
Yahoo
05-06-2025
- Health
- Yahoo
Huma launches genAI clinical documentation tool
British healthtech company Huma Therapeutics has initiated the global launch of Hi Scribe, a generative AI (genAI) clinical documentation tool designed to automate and streamline the creation of clinical notes. Powered by over 60 million consultations conducted by eConsult, which Huma acquired last year, Hi Scribe is available through the Huma Cloud Platform (HCP), providing real time clinical documentation automation and the generation of structured clinical notes that can be directly integrated into electronic health record (EHR) systems. Hi Scribe is already launched in the UK to 870 practices, covering around 10 million patients, with write-back and coding capabilities for the EHR systems EMIS and SystmOne. Now rolling out across more than 4,500 health systems and clinics powered by Huma technologies, worldwide, Huma CEO and founder Dan Vahdat stated that administrative burdens such as process compliance and accurate billing remain some of the 'greatest challenges' facing healthcare systems globally. 'Hi Scribe gives clinicians critical time back, allowing them to focus on what matters most: their patients,' said Vahdat. Initiation of the tool's global launch follows the UK's National Health Service (NHS) England guidance around using AI-enabled scribing products in healthcare settings that was issued in April. Relating to best practices surrounding controls and implementation, the NHS guidelines advise healthcare systems to integrate such AI products with their principal EHR system and to ensure legal and regulatory requirements are factored into the procurement and implementation of their chosen products. Dr Murray Ellender, head of UK Healthcare at Huma commented: 'By leveraging genAI with strong regulatory governance, we are ensuring safe, effective, and efficient care. We are excited in the near future to start helping care providers with intelligent suggestions for next steps — ensuring that nothing is left unnoticed.' Huma recently announced a partnership with growth equity company Eckuity to support its development of technology infrastructure to support ongoing plans to acquire companies and launch digital solutions across the healthcare space. "Huma launches genAI clinical documentation tool" was originally created and published by Medical Device Network, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Express Tribune
09-04-2025
- Business
- Express Tribune
Google unveils Ironwood AI chip to boost performance
Listen to article Alphabet's on Wednesday unveiled its seventh-generation artificial intelligence chip named Ironwood, which the company said is designed to speed the performance of AI applications. The Ironwood processor is geared toward the type of data crunching needed when users query software such as OpenAI's ChatGPT. Known in the tech industry as 'inference' computing, the chips perform rapid calculations to render answers in a chatbot or generate other types of responses. The search giant's multi-billion dollar, roughly decade-long effort represents one of the few viable alternative chips to Nvidia's powerful AI processors. Google's tensor processing units (TPUs) can only be used by the company's own engineers or through its cloud service and have given its internal AI effort an edge over some rivals. For at least one generation Google split its TPU family of chips into a version that's tuned for building large AI models from scratch. Its engineers have made a second line of chips that strips out some of the model building features in favor of a chip that shaves costs of running AI applications. The Ironwood chip is a model designed for running AI applications, or inference, and is designed to work in groups of as many as 9,216 chips, said Amin Vahdat, a Google vice president. The new chip, unveiled at a cloud conference, brings functions from earlier split designs together and increases the available memory, which makes it better suited for serving AI applications. 'It's just that the relative importance of inference is going up significantly,' Vahdat said. The Ironwood chips boast double the performance for the amount of energy needed compared with Google's Trillium chip it announced last year, Vahdat said. The company builds and deploys its Gemini AI models with its own chips. The company did not disclose which chip manufacturer is producing the Google design.


Zawya
09-04-2025
- Business
- Zawya
Google launches new Ironwood chip to speed AI applications
Alphabet's on Wednesday unveiled its seventh-generation artificial intelligence chip named Ironwood, which the company said is designed to speed the performance of AI applications. The Ironwood processor is geared toward the type of data crunching needed when users query software such as OpenAI's ChatGPT. Known in the tech industry as "inference" computing, the chips perform rapid calculations to render answers in a chatbot or generate other types of responses. The search giant's multi-billion dollar, roughly decade-long effort represents one of the few viable alternative chips to Nvidia's powerful AI processors. Google's tensor processing units (TPUs) can only be used by the company's own engineers or through its cloud service and have given its internal AI effort an edge over some rivals. For at least one generation Google split its TPU family of chips into a version that's tuned for building large AI models from scratch. Its engineers have made a second line of chips that strips out some of the model building features in favor of a chip that shaves costs of running AI applications. The Ironwood chip is a model designed for running AI applications, or inference, and is designed to work in groups of as many as 9,216 chips, said Amind Vahdat, a Google vice president. The new chip, unveiled at a cloud conference, brings functions from earlier split designs together and increases the available memory, which makes it better suited for serving AI applications. "It's just that the relative importance of inference is going up significantly," Vahdat said. The Ironwood chips boast double the performance for the amount of energy needed compared with Google's Trillium chip it announced last year, Vahdat said. The company builds and deploys its Gemini AI models with its own chips. The company did not disclose which chip manufacturer is producing the Google design. (Reporting by Max A. Cherney in San Francisco; Editing by Sonali Paul)


Reuters
09-04-2025
- Business
- Reuters
Google launches new Ironwood chip to speed AI applications
SAN FRANCISCO, April 9 (Reuters) - Alphabet's (GOOGL.O), opens new tab on Wednesday unveiled its seventh-generation artificial intelligence chip named Ironwood, which the company said is designed to speed the performance of AI applications. The Ironwood processor is geared toward the type of data crunching needed when users query software such as OpenAI's ChatGPT. Known in the tech industry as "inference" computing, the chips perform rapid calculations to render answers in a chatbot or generate other types of responses. The search giant's multi-billion dollar, roughly decade-long effort represents one of the few viable alternative chips to Nvidia's (NVDA.O), opens new tab powerful AI processors. Google's tensor processing units (TPUs) can only be used by the company's own engineers or through its cloud service and have given its internal AI effort an edge over some rivals. For at least one generation Google split its TPU family of chips into a version that's tuned for building large AI models from scratch. Its engineers have made a second line of chips that strips out some of the model building features in favor of a chip that shaves costs of running AI applications. The Ironwood chip is a model designed for running AI applications, or inference, and is designed to work in groups of as many as 9,216 chips, said Amind Vahdat, a Google vice president. The new chip, unveiled at a cloud conference, brings functions from earlier split designs together and increases the available memory, which makes it better suited for serving AI applications. "It's just that the relative importance of inference is going up significantly," Vahdat said. The Ironwood chips boast double the performance for the amount of energy needed compared with Google's Trillium chip it announced last year, Vahdat said. The company builds and deploys its Gemini AI models with its own chips. The company did not disclose which chip manufacturer is producing the Google design.
Yahoo
19-03-2025
- Business
- Yahoo
Mark Cuban: How To Use AI To Grow Your Income
Mark Cuban has provided advice to business owners and professionals for many years and a Bluesky post of his outlined how you can use artificial intelligence (AI) to make more money. Cuban shared how you can use AI models like ChatGPT, Gemini and Grok to easily learn new skills and grow your income. For You: Read Next: Cuban's Bluesky post focuses on asking the right questions. He said you can outperform most people at your job, even if you're starting with no education if you ask large language models the right questions. '[It] just takes a smartphone, curiosity to experiment and a mindset to learn,' Cuban explained. See Next: Asking a bunch of questions each day can help you learn new information quickly. However, not everyone uses AI tools effectively. Knowing how to use AI models can help you in your career, but you have to learn how they work and the optimal way to use them. Kaveh Vahdat is the founder and CEO of RiseAngle, a leading generative AI-powered game and video generation company. He is also the founder and president of RiseOpp, a leading fractional CMO services company that uses AI to improve clients' marketing results. Vahdat said people should ditch generic questions like 'how to make money' and go deeper. 'The best way to grow your income with AI isn't just by asking how to make money. It is by knowing how to push AI beyond generic advice. You can ask AI for money-making ideas, but that is just the start. You need to keep pressing it for details, fact-check its responses, push it to browse for fresh insights and fill in the blind spots it misses. The more specific and strategic your questions, the better your results,' Vahdat said. 'One of the biggest advantages of AI is fast education,' he added. 'You can ask it to brainstorm ideas, refine business strategies or even generate code for a tool you want to build.' While artificial intelligence is a great resource, you can't rely on it to grow your income. AI is a tool, just like pliers and wrenches. Pliers and wrenches are useless if you don't know how to use them and the same rule applies to AI. 'The catch is that AI is only as good as the person using it. If you just take surface-level answers, you are not using AI effectively,' Vahdat said. 'The key is to learn how to ask better questions, provide clearer instructions and experiment with prompting techniques.' You have to learn new things and advance your career outside of AI. You can ask ChatGPT how to do better networking, but experience with networking is the best way to improve that skill. Artificial intelligence isn't only great for learning new things. You can also use it to perform basic tasks and get a head start on projects. Vahdat explained some of the things you can do with artificial intelligence that can save time and allow you to focus on priorities. 'It helps you go from an idea to execution much faster,' Vahdat said. 'You can also use it to find the easiest ways to implement different ideas, whether it is automating tasks, learning a new skill or optimizing workflows in your career.' More From GOBankingRates Who Would Benefit the Most from Trump's Social Security Tax Plan 6 Big Shakeups Coming to Social Security in 20257 Things You'll Be Happy You Downgraded in Retirement This article originally appeared on Mark Cuban: How To Use AI To Grow Your Income Sign in to access your portfolio