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Innovation

New program bolsters innovation in next-generation artificial intelligence hardware – MIT News



The MIT AI Hardware Program is a new academia and industry collaboration aimed at defining and developing translational technologies in hardware and software for the AI and quantum age. A collaboration between the MIT School of Engineering and MIT Schwarzman College of Computing, involving the Microsystems Technologies Laboratories and programs and units in the college, the cross-disciplinary effort aims to innovate technologies that will deliver enhanced energy efficiency systems for cloud and edge computing.

“A sharp focus on AI hardware manufacturing, research, and design is critical to meet the demands of the world’s evolving devices, architectures, and systems,” says Anantha Chandrakasan, dean of the MIT School of Engineering and Vannevar Bush Professor of Electrical Engineering and Computer Science. “Knowledge-sharing between industry and academia is imperative to the future of high-performance computing.”

Based on use-inspired research involving materials, devices, circuits, algorithms, and software, the MIT AI Hardware Program convenes researchers from MIT and industry to facilitate the transition of fundamental knowledge to real-world technological solutions. The program spans materials and devices, as well as architecture and algorithms enabling energy-efficient and sustainable high-performance computing.

“As AI systems become more sophisticated, new solutions are sorely needed to enable more advanced applications and deliver greater performance,” says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and Henry Ellis Warren Professor of Electrical Engineering and Computer Science. “Our aim is to devise real-world technological solutions and lead the development of technologies for AI in hardware and software.”

The inaugural members of the program are companies from a wide range of industries including chip-making, semiconductor manufacturing equipment, AI and computing services, and information systems R&D organizations. The companies represent a diverse ecosystem, both nationally and internationally, and will work with MIT faculty and students to help shape a vibrant future for our planet through cutting-edge AI hardware research.

The five inaugural members of the MIT AI Hardware Program are:
The MIT AI Hardware Program will create a roadmap of transformative AI hardware technologies. Leveraging MIT.nano, the most advanced university nanofabrication facility anywhere, the program will foster a unique environment for AI hardware research.
“We are all in awe at the seemingly superhuman capabilities of today’s AI systems. But this comes at a rapidly increasing and unsustainable energy cost,” says Jesús del Alamo, the Donner Professor in MIT’s Department of Electrical Engineering and Computer Science.

“Continued progress in AI will require new and vastly more energy-efficient systems. This, in turn, will demand innovations across the entire abstraction stack, from materials and devices to systems and software. The program is in a unique position to contribute to this quest.”

The program will prioritize the following topics:
“We live in an era where paradigm-shifting discoveries in hardware, systems communications, and computing have become mandatory to find sustainable solutions — solutions that we are proud to give to the world and generations to come,” says Aude Oliva, senior research scientist in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of strategic industry engagement in the MIT Schwarzman College of Computing.
The new program is co-led by Jesús del Alamo and Aude Oliva, and Anantha Chandrakasan serves as chair.

The MIT AI Hardware Program seeks to bring together researchers from academia and industry to “examine each step of designing and manufacturing the hardware behind AI-powered technologies,” reports Emily Bamforth for EdScoop. “This program is about accelerating the development of new hardware to implement AI algorithms so we can do justice to the capabilities that computer scientists are developing,” explains Prof. Jesús del Alamo.

The MIT AI Hardware Program is aimed at bringing together academia and industry to develop energy-optimized machine-learning and quantum-computing systems, reports Katyanna Quach for The Register. “As progress in algorithms and data sets continues at a brisk pace, hardware must keep up or the promise of AI will not be realized,” explains Professor Jesús del Alamo. “That is why it is critically important that research takes place on AI hardware.”


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Innovation

The Ashley Marie Collection – Natural Hair Care for Gen Z by Gen Z

As a new generation of beauty consumers emerges, the beauty industry is undergoing a significant transformation. Gen Z consumers, in particular, are highly conscious about the ingredients in their beauty products. With a population that accounts for almost 30% of the world, Gen Z (born roughly between 1996 and 2012) are a major focus for several brands.

The desire to be  environmentally and socially aware, has led to a change  in this generation’s values and spearheaded the movement, urging companies to take action on the climate crisis. This is not merely rhetoric. Based on a survey conducted by Capgemini, in 2021, approximately 69 percent of surveyed participants belonging to Generation Z stated that they were willing to spend more on health and beauty products that contain natural and clean ingredients.This trend has led to the rise of natural beauty products, and the Ashley Marie Collection is at the forefront of this movement.

Created by 17-year-old entrepreneur Ashley Marie Gibson, the Ashley Marie Collection features a range of natural hair care products that cater specifically to the evolving needs of Gen Z consumers. Don’t be fooled by her young age – Ashley is a total boss. As a Gen-Z entrepreneur, Ashley is passionate about creating products that use natural ingredients and prioritize health and well-being. The Ashley Marie Collection reflects Gen Z’s preference for natural and eco-friendly products with its commitment to using only the cleanest, ethically sourced ingredients. All products are cruelty-free, color-safe, paraben-free, sulfate-free, and formulated with natural ingredients.


If being clean wasn’t enough, this brand checks off another box – being diverse and inclusive!  The Ashley Marie Collection is an entire hair care line specifically for 4C hair, a hair type that is often overlooked in the beauty industry. The line features a range of uniquely formulated products, including a Clarifying Shampoo, Moisturizing Shampoo, Hydrating Conditioner, Protein Conditioner, Leave-in Conditioner, Coil Cream, and Curly Coil Styling Gel. All of which work wonders for kinky, thick coils and will leave strands feeling and looking even better!

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Innovation

It’s your last day to apply to speak at TC Disrupt

Today’s your last chance to apply to speak at TechCrunch 2023
Why should you drop everything to get that application in by 11:59 p.m. PDT today? Not only will you help inform and educate the next generation of startups — and potential unicorns — but you’ll also establish or enhance your reputation as a valued thought leader and partner. Around here we call that a win-win situation.

How to apply to speak at TechCrunch Disrupt 2023
When you apply, you’ll choose one of the two formats below and submit a title and description of your topic:

Breakout Session: Up to two people (including moderator) lead a 30-minute presentation followed by a 20-minute Q&A from an audience of up to 100 attendees. You’ll be able to display a presentation and have limited AV capabilities. You’ll present one breakout during Disrupt.
Roundtable Discussion: One person leads a 30-minute interactive conversation for an audience of up to 25 attendees. There is no presentation or AV — it’s all about organic conversation. You may potentially repeat this roundtable twice during Disrupt.
TechCrunch vets every application and then selects the finalists who will participate in the Audience Choice voting round. We’ll post the topics, descriptions and speakers online, and then TechCrunch readers will vote for the sessions they would like to see at the event. The top vote-getters will present live at Disrupt.

These are the important dates you need to know:

Application deadline: Today, April 21, by 11:59 p.m. PDT
Finalists notified: April 27
Audience Choice voting: May 1–12
Winners notified: May 15
Once more — a little louder this time: It’s your last opportunity to submit your application to speak at TechCrunch Disrupt on September 19–21! The application window slams shut today, April 21, at 11:59 p.m. PDT. One more reminder: Save up to $825 with an early-bird ticket. Buy your Disrupt pass, and join us in San Francisco!

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Innovation

TechCrunch+ roundup: Deep tech tips for SaaS VCs, toxic fundraising, student visa startup options

If someone said “startup” while we were playing a word association game, I’d respond with “fundraising.” (I bet you would, too.)

Asking people for money is a key aspect of every founder’s journey, but Techstars Managing Director Collin Wallace says it can also “accelerate your demise.”

For example, raising a round to rev up engineering, sales and marketing sounds positive — but what if the business itself has negative unit economics?.

“Most of the time, what stands between a company and its ability to achieve scale is not a lack of money,” writes Wallace in TC+.

“It’s better to ask: Do we have hustle problems? Product problems? Process problems? People problems? Is my business model fundamentally flawed?”

In this article, he examines four scenarios that often lead entrepreneurs to seek out new cash and explains why getting “a clear picture of what is fueling losses” is much more important.

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