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AI and Medical Schools

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Adding to the scholarly community’s man-made intelligence embrace, the College of Texas at San Antonio is offering a practitioner training matched with an expert’s in computerized reasoning.

Past the clamor of prescription school classes and mingling, Aaron Fanous invested his free energy looking into man-made reasoning and software engineering. Adjusting everything was an endeavor, yet notwithstanding medication, he’s constantly had an interest in innovation.

“I saw how influential software was in the medical world, and a lot of context was missing from it,” Fanous said. “The reality is, technology will come into medicine—it will be in most fields—and knowing what can be done with it will open so many doors to improve the entire system as a whole. That’s too big to ignore.”

Fanous is one of the primary understudies signed up for the College of Texas at San Antonio’s new double degree clinical program, which sent off the week before. It is among the principal in the country to join man-made reasoning with medication.

The program comes as numerous colleges are dumping cash into simulated intelligence, with some burning through millions on drives to outfit understudies with what many accept will be basic abilities for what’s in store.

Interest in simulated intelligence’s effect on medication has sloped up as of late, with analysts refering to likely advantages in treating, diagnosing and really focusing on patients.

“There has been a lot of conversation everywhere about AI and, in particular, the large language model,” said Dr. Alison Whelan, chief academic officer at the Association of American Medical Colleges.

AAMC casually overviewed its individuals this late spring, asking their contemplations on computer based intelligence’s convergence with the clinical world and how AAMC might help its individuals. ” With simulated intelligence, it was ‘Do what you generally do, yet perhaps speed up it since this is occurring quickly,'” Dr. Whelan said.

A few colleges the country over have started coordinating computer based intelligence into clinical practice. Clinical schools at the College of Florida, the College of Illinois, the College of Alabama at Birmingham and Stanford and Harvard Colleges generally offer varieties of a testament in man-made intelligence in medication that is to a great extent designed for existing experts.

“I think schools are looking at, ‘How do we integrate and teach the uses of AI?’” Dr. Whelan said. “And in general, when there is an innovation, you want to integrate it into the curriculum at the right pace.”

In the new double degree program at UT San Antonio, clinical understudies will burn through four years on the UT Wellbeing side and one year on the UT San Antonio side, eventually procuring a specialist of medication degree and an expert’s of science certificate in computerized reasoning. Understudies can pick a fixation in software engineering, information examination or independent frameworks.

“It’s more than just adapting to change; our program empowers physicians to lead the conversation on how AI can be used in health care,” said Dhireesha Kudithipudi, director of UTSA’s Matrix AI Consortium. “If physicians are not in the center of this conversation, then the solution may not really be harnessing the full potential of AI or won’t be holistic. So bringing them to the center and giving them the power to lead is what this program is trying to do.”

The program, about four years really taking shape, began coming to fruition well before last year’s blast of generative computer based intelligence like ChatGPT made the innovation a commonly recognized name. Kudithipudi is regulating the program from the UT San Antonio side, while Dr. Ronald Rodriguez, teacher of urology at UT San Antonio, is regulating the program from the UT Wellbeing side.

“We didn’t recognize how quickly the world would become interested in AI, but it came together nicely,” Dr. Rodriguez said. He said AI has been on his radar since 1980, when he took a computer course during his freshman year at the Massachusetts Institute of Technology. “I got really fascinated by it and thought it would be a great tool to have for scientific research and a variety of applications.”

Dr. Rodriguez desires to develop the UT program to about 15 understudies in the following couple of years.

“We said, ‘Let’s look at this as if we were starting from zero—how would we approach it?’ and realized we needed to start earlier, with medical students, not postgraduates,” he said. He added that he hopes the program will be a model, helping other universities overcome the challenges of combining two degrees from separate colleges.

Kudithipudi said the program can likewise assist the general exploration local area, building spans between the specialized and clinical sides that with having for some time been siloed. She said the program could extend inside also, highlighting interest from UTSA’s dental school.

“I think this is only the beginning; there’s a lot to explore here, and I truly believe the solutions we’re trying to build as engineers or computer scientists may not be holistic in a lot of cases,” Kudithipudi said. “We don’t want physicians to come in at the end point; we want them to lead or be engaged in the process very early.”

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Microsoft Expands Copilot Voice and Think Deeper

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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