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Category: business – Page 62

Building Tools To Learn Human Brain Processes

Aude Oliva is a prominent Cognitive and Computer Scientist directing the MIT Computational Perception and Cognition group at CSAIL while also leading the MIT-IBM Watson AI Lab and co-leading the MIT AI Hardware Program. With research spanning computational neuroscience, cognition, and computer vision, she pioneers the integration of human perception and machine recognition. Her contributions extend across academia, industry, and research, making her a distinguished figure at MIT.

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Semiconductor supplier Schunk Xycarb plans big expansion to keep up with Samsung, other chipmakers

Construction is set to break ground by the end of this year, and the company expects to move into the new space by the end of 2024. The production facility for semiconductor quartz will include a clean room, high-purity cleaning system and allow them to expand an automation component of their business that they’ve been capitalizing on for years.

“We knew that our customers all over the world were expanding at a rate we couldn’t keep up with,” said Scott Lingren, SXT’s managing director and U.S. chairman. “As you see all these expansions from Samsung in Taylor to Texas Instruments Inc. in the Dallas area to all over the world … we just have to keep up.”

SXT – which is headquartered in the Netherlands and owned by the privately-held Schunk Group in Germany – supplies semiconductor manufacturers around the world, like Samsung, which has had a presence in Central Texas for decades and is potentially adding to its existing Austin campus and its new site in Taylor. Other major players in the industry include Taiwan Semiconductor Manufacturing Co., which is expanding in Arizona, and Intel Corp., which is expanding to Ohio.

Quantum Device Used To Slow Down Chemical Reaction by 100 Billion Times

What happens in femtoseconds in nature can now be observed in milliseconds in the lab.

Scientists at the university of sydney.

The University of Sydney is a public research university located in Sydney, New South Wales, Australia. Founded in 1,850, it is the oldest university in Australia and is consistently ranked among the top universities in the world. The University of Sydney has a strong focus on research and offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including arts, business, engineering, law, medicine, and science.

How to Lead and Reskill in the Age of AI

How will AI affect businesses and employees? It’s the million-dollar question, and according to Harvard Business School’s Raffaella Sadun, the answer will depend on how well an organization connects the new technologies to both a broad corporate vision and individual employee growth.

One without the other is a recipe for job elimination and fewer new opportunities for all. Luckily, she points out, we are early in our AI journey, and nothing is predetermined. Smart leaders don’t need to understand every technicality of AI. But they do need to identify the best use cases for their specific business and communicate a clear strategy for reskilling their teams.

For this episode of our video series “The New World of Work”, HBR editor in chief Adi Ignatius sat down with Sadun, who wrote the HBR article, “Reskilling in the Age of AI” (https://hbr.org/2023/09/reskilling-in-the-age-of-ai), to discuss:

• How leaders should use GenAI to augment their own decision making, without entrusting it to make the actual decisions.
• Even in the age of AI, the top management skills will be a mixture of technical (“hard”) and social (“soft”) skills. Those who excel will comprehend their organization’s complexity while communicating a clear vision to all employees.
• Handling change management when everyone is uncertain about the future and regular employees are especially fearful.

This interview part of a series called “The New World of Work,” which explores how top-tier executives see the future and how their companies are trying to set themselves up for success. Each week, Adi will interview a leader on LinkedIn Live — and then share an inside look at those conversations and solicit questions for future discussions in a newsletter just for HBR subscribers. If you’re a subscriber, you can sign up for the newsletter here: https://hbr.org/my-library/preferences?movetile=newworldofwork.

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Artificial Intelligence and manufacturing

Interview with Prof. Marc Sachon for the event “Artificial Intelligence: Using your power for good” (IESE Global Alumni Reunion 2022).

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The Inside Story of ChatGPT’s Astonishing Potential | Greg Brockman | TED

In a talk from the cutting edge of technology, OpenAI cofounder Greg Brockman explores the underlying design principles of ChatGPT and demos some mind-blowing, unreleased plug-ins for the chatbot that sent shockwaves across the world. After the talk, head of TED Chris Anderson joins Brockman to dig into the timeline of ChatGPT’s development and get Brockman’s take on the risks, raised by many in the tech industry and beyond, of releasing such a powerful tool into the world.

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How AI Could Empower Any Business | Andrew Ng | TED

Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points.

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How to minimize data risk for generative AI and LLMs in the enterprise

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Enterprises have quickly recognized the power of generative AI to uncover new ideas and increase both developer and non-developer productivity. But pushing sensitive and proprietary data into publicly hosted large language models (LLMs) creates significant risks in security, privacy and governance. Businesses need to address these risks before they can start to see any benefit from these powerful new technologies.

As IDC notes, enterprises have legitimate concerns that LLMs may “learn” from their prompts and disclose proprietary information to other businesses that enter similar prompts. Businesses also worry that any sensitive data they share could be stored online and exposed to hackers or accidentally made public.

Jan Leike on OpenAI’s massive push to make superintelligence safe in 4 years or less

The 80,000 Hours Podcast features unusually in-depth conversations about the world’s most pressing problems and what you can do to solve them. Learn more, read the summary and find the full transcript on the 80,000 Hours website: https://80000hours.org/podcast/episodes/jan-leike-superalignment.

In July, OpenAI announced a new team and project: Superalignment. The goal is to figure out how to make superintelligent AI systems aligned and safe to use within four years, and the lab is putting a massive 20% of its computational resources behind the effort.

Today’s guest, Jan Leike, is Head of Alignment at OpenAI and will be co-leading the project. As OpenAI puts it, “…the vast power of superintelligence could be very dangerous, and lead to the disempowerment of humanity or even human extinction. … Currently, we don’t have a solution for steering or controlling a potentially superintelligent AI, and preventing it from going rogue.”

Given that OpenAI is in the business of developing superintelligent AI, it sees that as a scary problem that urgently has to be fixed. So it’s not just throwing compute at the problem — it’s also hiring dozens of scientists and engineers to build out the Superalignment team.

Plenty of people are pessimistic that this can be done at all, let alone in four years. But Jan is guardedly optimistic. As he explains:

Honestly, it really feels like we have a real angle of attack on the problem that we can actually iterate on… and I think it’s pretty likely going to work, actually. And that’s really, really wild, and it’s really exciting. It’s like we have this hard problem that we’ve been talking about for years and years and years, and now we have a real shot at actually solving it. And that’d be so good if we did.

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