Elon Musk's brain-computer interface company Neuralink has said that it will implant its device in a human brain within the next six months — meaning it’s not happening this year.
The company also claimed that Musk would get the device implanted in his own head at some point in the future.
During a presentation on Wednesday, Musk said that the company had submitted most of the paperwork needed for a human clinical trial to the Food and Drug Administration, which regulates medical devices in the United States. Previously, Musk had said that he’d hoped for human trials to begin in 2020, and then 2022. Now, that’s slipped to at least 2023.
Neuralink’s goal is to create a device that can be implanted in the brain, and use it to control a computer with brain activity. Back in 2019, Musk revealed that the company was testing its device in monkeys. In 2020, it trotted out pigs with the implants. And last year, Neuralink released a video showing a monkey playing Pong with its brain. This year, the monkeys are back. In a video demonstration, one of them helped “type” the phrase ‘welcome to show and tell’ using their implant by focusing on highlighted words and letters. Another video showed how the monkeys were trained to charge the devices by sitting under a wireless charger. Read more...
The digital economy is booming in incredible ways. More organizations are embracing digital transformation, migrating workloads to the cloud, exploring AI-powered solutions for real-time business insights, and much more.
But there's bad news, too: a soaring increase in the number of touchpoints across mobile and web interfaces has broadened the attack surface, causing a sharp rise in data breaches that threaten both businesses and individuals. At the current rate of growth, damage from cyberattacks will amount to about $10.5 trillion annually by 2025—a 300% increase from 2015—according to estimates by Cybersecurity Ventures.
In a post-quantum world, the cybersecurity dynamics will be increasingly heightened. Currently-available commercial solutions do not fully meet customer demands for automation, pricing, services and other capabilities — which is why NTT, a global telecommunications and IT service and consulting company headquartered in Tokyo, is now pushing for the commercialization of attribute-based encryption (ABE).
On the heels of this development, NTT is currently conducting a proof-of-concept (POC) information-sharing platform using ABE with the University of Technology, Sydney (UTS). “As part of a broader technology partnership with UTS, this initial platform will focus on internal UTS applications,” NTT noted in its official statement.Read more...
The fall of FTX, the cryptocurrency exchange that filed for bankruptcy last month, is having an unexpected impact on the artificial intelligence industry: Some A.I. researchers and organizations have been left scrambling to find new funding sources after their grant money was cut off.
The funding round was led by Sam Bankman-Fried, the founder and chief executive of FTX, the cryptocurrency exchange that filed for bankruptcy last month. After FTX’s sudden collapse, a leaked balance sheet showed that Mr. Bankman-Fried and his colleagues had fed at least $500 million into Anthropic Capital Management LLC, a hedge fund that focuses on investing in A.I.-related companies and projects. Their investment was part of a quiet and quixotic effort to explore and mitigate the dangers of artificial intelligence, which many in Mr. Bankman-Fried’s circle believed could eventually destroy the world and damage humanity.
They said they were worried that Mr. Bankman-Fried’s fall could cast doubt over their research and undermine their reputations. And some of the A.I. start-ups and organizations may eventually find themselves embroiled in FTX’s bankruptcy proceedings, with their grants potentially clawed back in court.
Over the past two years, the 30-year-old entrepreneur and his FTX colleagues funnelled more than $530 million—through either grants or investments—into more than 70 A.I.-related companies, academic labs, think tanks, independent projects and individual researchers to address concerns over the technology. Read more...
Yesterday, Telgram's CEO, Pavel Durov said the company will build a decentralized exchange and non-custodial wallet.
Listen, Pavel. The Milk Road is a media company that writes about crypto. We love crypto and crypto loves us (well, not if you look at our portfolio). But you don’t see us making an exchange or auction platform.
So why is a messaging app doing this?
Well, Telegram isn't new to the blockchain game.
In 2018, they raised $1.7b from investors like Sequoia and Lightspeed to build a layer 1 blockchain called the Telegram Open Network (TON). The idea was to use the blockchain and native $TON for a messaging app, but the SEC sued Telegram and forced them to abandon the project before it launched. Telegram open sourced the tech and left it for the TON Foundation, who have kept it running since. $TON has a $2b market cap today.
More importantly, why should you care?
Telegram is bigger than just crypto. It’s one of the biggest apps in the world: 700 million monthly active users, Top-5 downloaded apps worldwide in 2022, Valued around $30 billion.Read more...
In the past 15 years, Flowlet have been working on many API integrations and web applications in general.The company strongly believe we can build APIs more efficient, robust, and enjoyable. How?
Handle DevOps We take away the hassle of managing deploys, logging, backups, etc. Just focus on building your API!
Quick iterations We minimize the plan, code, test, eat and repeat loop. All work on your API is directly live and ready for testing without waiting for compile and deploy steps.
Open the black box When we designed Flowlet, we wanted an API to look like a machine room, where you can look at a meter and say: "hey, there it goes wrong", instead of late-night debugging with ad-hoc patches on production. all in simple, understandable flows, hence the name Flowlet.
Low-code supercharged by TypeScript You can start with no code to quickly set up your API. Define an endpoint, create a data model and add business logic. Run into an edge case? You can use TypeScript everywhere to create custom logic."Key takeaways:
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