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At some point over the last two decades, productivity applications enabled humans (and machines!) to create information at the speed of digital—faster than any person could possibly consume or understand it. Modern inboxes and document folders are filled with information: digital haystacks with needles of insight that too often remain undiscovered.

Adobe AI Assistant 1000px 1

Generative AI is an incredibly exciting technology that’s already delivering tremendous value to our customers across creative and experience-building applications. Now Adobe is embarking on our next chapter of innovation by introducing our first generative AI capabilities for digital documents and bringing the new technology to the masses.

AI Assistant in Adobe Acrobat, now in beta, is a new generative AI–powered conversational engine deeply integrated into Acrobat workflows, empowering everyone with the information inside their most important documents.

ccelerating productivity across popular document formats

As the creator of PDF, the world’s most trusted digital document format, Adobe understands document challenges and opportunities well. Our continually evolving Acrobat PDF application, the gold standard for working with PDFs, is already used by more than half a billion customers to open around 400 billion documents each year. Starting immediately, customers will be able to use AI Assistant to work even more productively. All they need to do is open Acrobat on their desktop or the web and start working.

With AI Assistant in Acrobat, project managers can scan, summarize, and distribute meeting highlights in seconds, and sales teams can quickly personalize pitch decks and respond to client requests. Students can shorten the time they spend hunting through research and spend more time on analysis and understanding, while social media and marketing teams can quickly surface top trends and issues into daily updates for stakeholders. AI Assistant can also streamline the time it takes to compose an email or scan a contract of any kind, enhancing productivity for knowledge workers and consumers globally.

Innovating with AI—responsibly

Adobe has continued to evolve the digital document category for over 30 years. We invented the PDF format and open-sourced it to the world. And we brought Adobe’s decade-long legacy of AI innovation to digital documents, including the award-winning Liquid Mode, which allows Acrobat to dynamically reflow document content and make it readable on smaller screens. The experience we’ve gained by building Liquid Mode and then learning how customers get value from it is foundational to what we’ve delivered in AI Assistant.

Today, PDF is the number-one business file format stored in the cloud, and PDFs are where individuals and organizations keep, share, and collaborate on their most important information. Adobe remains committed to secure and responsible AI innovation for digital documents, and AI Assistant in Acrobat has guardrails in place so that all customers—from individuals to the largest enterprises—can use the new features with confidence.

Like other Adobe AI features, AI Assistant in Acrobat has been developed and deployed in alignment with Adobe’s AI principles and is governed by secure data protocols. Adobe has taken a model-agnostic approach to developing AI Assistant, curating best-in-class technologies to provide customers with the value they need. When working with third-party large language models (LLMs), Adobe contractually obligates them to employ confidentiality and security protocols that match our own high standards, and we specifically prohibit third-party LLMs from manually reviewing or training their models on Adobe customer data.

The future of intelligent document experiences

Today’s beta features are part of a larger Adobe vision to transform digital document experiences with generative AI. Our vision for what’s next includes the following:

Insights across multiple documents and document types: AI Assistant will work across multiple documents, document types, and sources, instantly surfacing the most important information from everywhere.AI-powered authoring, editing, and formatting: Last year, customers edited tens of billions of documents in Acrobat. AI Assistant will make it simple to quickly generate first drafts, as well as

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By: Deepak Bharadwaj
Title: Transforming document understanding and insights with generative AI
Sourced From: www.technologyreview.com/2024/02/20/1088584/transforming-document-understanding-and-insights-with-generative-ai/
Published Date: Tue, 20 Feb 2024 16:08:01 +0000

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The Download: Neuralink’s biggest rivals, and the case for phasing out the term “user”

This is today’s edition of The Download our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Beyond Neuralink: Meet the other companies developing brain-computer interfaces

In the world of brain-computer interfaces, it can seem as if one company sucks up all the oxygen in the room. Last month, Neuralink posted a video to X showing the first human subject to receive its brain implant, which will be named Telepathy. The recipient, a 29-year-old man who is paralyzed from the shoulders down, played computer chess, moving the cursor around with his mind.

Neuralink’s announcement of a first-in-human trial made a big splash not because of what the man was able to accomplish—scientists demonstrated using a brain implant to move a cursor in 2006—but because the technology is so advanced.

But Neuralink isn’t the only company developing brain-computer interfaces to help people who have lost the ability to move or speak. Read on to take a look at some of the companies developing brain chips, their progress, and their different approaches to the technology.

—Cassandra Willyard

This story is from The Checkup, our weekly health and biotech newsletter. Sign up to receive it in your inbox every Thursday.

It’s time to retire the term “user”

People have been called “users” for a long time; it’s a practical shorthand enforced by executives, founders, operators, engineers, and investors ad infinitum.

Often, it is the right word to describe people who use software: a user is more than just a customer or a consumer. Sometimes a user isn’t even a person; corporate bots are known to run accounts on Instagram and other social media platforms, for example.

But “users” is also unspecific enough to refer to just about everyone. It can accommodate almost any big idea or long-term vision. We use—and are used by—computers and platforms and companies. Though “user” seems to describe a relationship that is deeply transactional, many of the technological relationships in which a person would be considered a user are actually quite personal. That being the case, is “user” still relevant? Read the full story.

—Taylor Majewski

This story is from the next magazine issue of MIT Technology Review, set to go live on April 24. If you don’t already, sign up now to get a copy when it lands.

Three ways the US could help universities compete with tech companies on AI innovation

—Ylli Bajraktari, CEO of nonprofit the Special Competitive Studies Project, Tom Mitchell, the Founders University Professor at Carnegie Mellon University, and Daniela Rus, a professor of electrical engineering and computer science at MIT

The ongoing revolution in artificial intelligence has the potential to dramatically improve our lives. Yet ensuring that America and other democracies can help shape the trajectory of this technology requires going beyond the tech development taking place at private companies.

Research at universities drove the AI advances that laid the groundwork for the commercial boom we are experiencing today. But large AI models require such vast computational power and such extensive data sets that private companies have replaced academia at the frontier of AI. Here’s a few ideas for how the US could empower its universities to remain alongside them at the forefront of AI research.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Bitcoin investors are eagerly awaiting the ‘halving’ 
The scheduled reduction in the number of newly produced bitcoin could mean their current holdings are worth even more. (FT $)
The halving is due to start in the early hours of Saturday morning. (NYT $)
The event is the crypto equivalent of the Super Bowl. (Reuters)

2 Meta is integrating its AI into its social media apps
But LLMs and social platforms are dangerous bedfellows. (WP $)
Case in point: X’s Grok bot offers up fake news based on users’ jokes. (Ars Technica)
Meta launched its newest model, Llama 3, too. (WSJ $)
Big Tech is scrambling to make its AI as easy to use as possible. (The Information $)

3 The World Health Organization’s AI avatar struggles with health questions
The bot has been trained on outdated data, and it shows. (Bloomberg $)
Artificial intelligence is infiltrating health care. We shouldn’t let it make all the decisions. (MIT Technology Review)

4 China ordered Apple to pull Meta-owned apps from its App Store
Beijing is reportedly unhappy with ‘inflammatory’ Threads and WhatsApp content. (WSJ $)
The move is likely to worsen the already-tense relations between the US and China. (FT $)

5 University students are turning to cyber crime to make money
A major phishing site recruited fraudsters to scam tens of thousands of victims.

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By: Rhiannon Williams
Title: The Download: Neuralink’s biggest rivals, and the case for phasing out the term “user”
Sourced From: www.technologyreview.com/2024/04/19/1091515/the-download-neuralinks-biggest-rivals-and-the-case-for-phasing-out-the-term-user/
Published Date: Fri, 19 Apr 2024 12:10:00 +0000

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How to build a thermal battery

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here

The votes have been tallied, and the results are in. The winner of the 11th Breakthrough Technology, 2024 edition, is … drumroll please … thermal batteries!

While the editors of MIT Technology Review choose the annual list of 10 Breakthrough Technologies, in 2022 we started having readers weigh in on an 11th technology. And I don’t mean to flatter you, but I think you picked a fascinating one this year.

Thermal energy storage is a convenient way to stockpile energy for later. This could be crucial in connecting cheap but inconsistent renewable energy with industrial facilities, which often require a constant supply of heat.

I wrote about why this technology is having a moment, and where it might wind up being used, in a story published Monday. For the newsletter this week, let’s take a deeper look at the different kinds of thermal batteries out there, because there’s a wide world of possibilities. 

Step 1: Choose your energy source

In the journey to build a thermal battery, the crucial first step is to choose where your heat comes from. Most of the companies I’ve come across are building some sort of power-to-heat system, meaning electricity goes in and heat comes out. Heat often gets generated by running a current through a resistive material in a process similar to what happens when you turn on a toaster.

Some projects may take electricity directly from sources like wind turbines or solar panels that aren’t hooked up to the grid. That could reduce energy costs, since you don’t have to pay surcharges built into grid electricity rates, explains Jeffrey Rissman, senior director of industry at Energy Innovation, a policy and research firm specializing in energy and climate. 

Otherwise, thermal batteries can be hooked up to the grid directly. These systems could allow a facility to charge up when electricity prices are low or when there’s a lot of renewable energy on the grid.

Some thermal storage systems are soaking up waste heat rather than relying on electricity. Brenmiller Energy, for example, is building thermal batteries that can be charged up with heat or electricity, depending on the customer’s needs.

Depending on the heat source, systems using waste heat may not be able to reach temperatures as high as their electricity-powered counterparts, but they could help increase the efficiency of facilities that would otherwise waste that energy. There’s especially high potential for high-temperature processes, like cement and steel production.

Step 2: Choose your storage material

Next up: pick out a heat storage medium. These materials should probably be inexpensive and able to reach and withstand high temperatures.

Bricks and carbon blocks are popular choices, as they can be packed together and, depending on the material, reach temperatures well over 1,000 °C (1,800 °F). Rondo Energy, Antora Energy, and Electrified Thermal Solutions are among the companies using blocks and bricks to store heat at these high temperatures.

Crushed-up rocks are another option, and the storage medium of choice for Brenmiller Energy. Caldera is using a mixture of aluminum and crushed rock.

Molten materials can offer even more options for delivering thermal energy later, since they can be pumped around (though this can also add more complexity to the system). Malta is building thermal storage systems that use molten salt, and companies like Fourth Power are using systems that rely in part on molten metals.

Step 3: Choose your delivery method

Last, and perhaps most important, is deciding how to get energy back out of your storage system. Generally, thermal storage systems can deliver heat, use it to generate electricity, or go with some combination of the two.

Delivering heat is the most straightforward option. Typically, air or another gas gets blown over the hot thermal storage material, and that heated gas can be used to warm up equipment or to generate steam.

Some companies are working to use heat storage to deliver electricity instead. This could allow thermal storage systems to play a role not only in industry but potentially on the electrical grid as an electricity storage solution. One downside? These systems generally take a hit on efficiency, the amount of energy that can be returned from storage. But they may be right for some situations, such as facilities that need both heat and electricity on demand. Antora Energy is aiming to use thermophotovoltaic materials to turn heat stored in its carbon blocks back into electricity.

Some companies plan to offer a middle path, delivering a combination of heat and electricity, depending on what a facility needs. Rondo

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By: Casey Crownhart
Title: How to build a thermal battery
Sourced From: www.technologyreview.com/2024/04/18/1091481/how-to-build-a-thermal-battery/
Published Date: Thu, 18 Apr 2024 10:00:00 +0000

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The Download: American’s hydrogen train experiment, and why we need boring robots

This is today’s edition of The Download our weekday newsletter that provides a daily dose of what’s going on in the world of technology

Hydrogen trains could revolutionize how Americans get around

Like a mirage speeding across the dusty desert outside Pueblo, Colorado, the first hydrogen-fuel-cell passenger train in the United States is getting warmed up on its test track. It will soon be shipped to Southern California, where it is slated to carry riders on San Bernardino County’s Arrow commuter rail service before the end of the year.

The best way to decarbonize railroads is the subject of growing debate among regulators, industry, and activists. The debate is partly technological, revolving around whether hydrogen fuel cells, batteries, or overhead electric wires offer the best performance for different railroad situations. But it’s also political: a question of the extent to which decarbonization can, or should, usher in a broader transformation of rail transportation.

In the insular world of railroading, this hydrogen-powered train is a Rorschach test. To some, it represents the future of rail transportation. To others, it looks like a big, shiny distraction. Read the full story.

—Benjamin Schneider

This story is for subscribers only, and is from the next magazine issue of MIT Technology Review, set to go live on April 24, on the theme of Build. If you don’t already, sign up now to get a copy when it lands.

Researchers taught robots to run. Now they’re teaching them to walk

We’ve all seen videos over the past few years demonstrating how agile humanoid robots have become, running and jumping with ease. We’re no longer surprised by this kind of agility—in fact, we’ve grown to expect it.

The problem is, these shiny demos lack real-world applications. When it comes to creating robots that are useful and safe around humans, the fundamentals of movement are more important.

As a result, researchers are using the same techniques to train humanoid robots to achieve much more modest goals. They believe it will lead to more robust, reliable two-legged machines capable of interacting with their surroundings more safely—as well as learning much more quickly. Read the full story.

—Rhiannon Williams

How to build a thermal battery

Thermal energy storage is a convenient way to stockpile energy for later. This could be crucial in connecting cheap but inconsistent renewable energy with industrial facilities, which often require a constant supply of heat. It’s so promising, MIT Technology Review’s readers chose it as an honorary 11th technology in our annual list of 10 Breakthrough Technologies.

Casey Crownhart, our climate reporter, wrote about why this technology is having a moment, and where it might wind up being used, in a story published earlier this week. Now, she’s dug into what it takes to make a thermal battery, and why there are so many different types.

Read the full story.

This story is from The Spark, our weekly climate and energy newsletter. Sign up to receive it in your inbox every Wednesday.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Amazon posed as a small retail business to snoop on its rivals
It used competitors’ payment and logistics data to inform its own operations. (WSJ $)+ The company insists its cashierless tech is powered by AI, not humans. (The Verge)

2 Landlords are asking prospective renters for 3D scans of their faces
And in many cases, if you don’t consent, you can’t tour the property alone. (The Markup)
The coming war on the hidden algorithms that trap people in poverty. (MIT Technology Review)

3 India’s elections will be a major test of AI literacy
AI-generated videos of Prime Minister Narendra Modi are addressing voters by name. (NYT $)
Three technology trends shaping 2024’s elections. (MIT Technology Review)

4 The US National Guard will use Google’s AI to analyze disaster zones
Just in time for the summer wildfire season. (WP $)
The quest to build wildfire-resistant homes. (MIT Technology Review)

5 OpenAI’s GPT-4 outperformed junior doctors in analyzing eye conditions
But a lot more work would be needed before deploying it in a clinical setting. (FT $)
Artificial intelligence is infiltrating health care. We shouldn’t let it make all the decisions. (MIT Technology Review)

6 Digitizing the real world is a long, tedious process
Engines originally developed for video games are bridging the uncanny valley. (New Yorker $)

7 AI is unlikely to improve the welfare of factory-farmed livestock 
While AI tools could make farming more efficient, it probably won’t make it humane. (Undark Magazine)
How CRISPR is making farmed animals bigger, stronger, and

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By: Rhiannon Williams
Title: The Download: American’s hydrogen train experiment, and why we need boring robots
Sourced From: www.technologyreview.com/2024/04/18/1091490/the-download-americans-hydrogen-train-experiment-and-why-we-need-boring-robots/
Published Date: Thu, 18 Apr 2024 12:10:00 +0000

Did you miss our previous article…
https://mansbrand.com/the-great-commercial-takeover-of-low-earth-orbit/

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