Lifeboat Foundation

https://www.youtube.com/watch?v=X1TYqoR-qVA

We explore human enhancement and personal performance hacking with Matt Ward (@mattwardio), host of The Disruptors podcast, startup investor, adviser, and business innovation consultant. Matt and I thought it would be fun to do two episodes, one here on MIND & MACHINE and the other on The Disruptors, where we explore what we’ve learned, the ideas we’ve formed and our takeaways across all these different fields that we cover.

So with this episode here on MIND & MACHINE, we focus on human enhancement — technologies that are extending lifespan and enhancing human capability. Then we get into what Matt and I are doing currently to maximize our own performance capabilities — our ability to think more clearly, to live more energetic vibrant lives… which is all heavily informed by all these amazing guests across these different fields that we explore.

Continue reading “Human Enhancement & Personal Performance Hacking with Matt Ward of ‘The Disruptors’” »

Battling bias. If I’ve been a little MIA this week, it was because I spent Monday and Tuesday in Boston for Fortune ’s inaugural Brainstorm A.I. gathering. It was a fun and wonky couple of days diving into artificial intelligence and machine learning, technologies that—for good or ill—seem increasingly likely to shape not just the future of business, but the world at large.

There are a lot of good and hopeful things to be said about A.I. and M.L., but there’s also a very real risk that the technologies will perpetuate biases that already exist, and even introduce new ones. That was the subject of one of the most engrossing discussions of the event by a panel that was—as pointed out by moderator, guest co-chair, and deputy CEO of Smart Eye Rana el Kaliouby—comprised entirely of women.

One of the scariest parts of bias in A.I. is how wide and varied the potential effects can be. Sony Group’s head of A.I. ethics office Alice Xiang gave the example of a self-driving car that’s been trained too narrowly in what it recognizes as a human reason to jam on the breaks. “You need to think about being able to detect pedestrians—and ensure that you can detect all sorts of pedestrians and not just people that are represented dominantly in your training or test set,” said Xiang.

Today’s video is a special interview with the one and only Mark Zuckerberg, Founder & CEO of Meta. We discuss the future of the Metaverse, Web3.0, take a dive into how it will change our lives and Mark gives us his thoughts on when and how this new world will come to fruition. This episode will provide you with all you need to know as we move into Web3 and the Metaverse.
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Thanks for watching!
Check out another series on my channel:
Tea With GaryVee (Fan Q&A Series): https://youtube.com/playlist?list=PLfA33-E9P7FBahSYlSAjOMGsuRPLMWWEO
Overrated Underrated (Hot-takes on Culture): https://www.youtube.com/watch?v=TUSNSqA62uI&t=0s.
Gary Vaynerchuk Original Films: https://youtube.com/playlist?list=PLfA33-E9P7FAvnrOcgy4MvIcCXxoyjuku.
Trash Talk: https://youtube.com/playlist?list=PLfA33-E9P7FDelN4bXFgtJuczC9HHmm2
WeeklyVee: https://youtube.com/playlist?list=PLfA33-E9P7FBPjdQcF6uedz9fdk8XKn-b.
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Gary Vaynerchuk is one of the world’s leading marketing experts, a New York Times bestselling author, and the chairman of VaynerX, a modern-day communications company and the active CEO of VaynerMedia, a contemporary global creative and media agency built to drive business outcomes for their partners. He is a highly popular public speaker, and a prolific investor with investments in companies such as Facebook, Twitter, Tumblr, Venmo, Coinbase, Slack, and Uber. Gary is a board/advisory member of Bojangles’ Restaurants, MikMak, Pencils of Promise, and is a longtime Well Member of Charity: Water. He’s also an avid sports card investor and collector. He lives in New York City.

Determine which video-level computer vision task you need to perform based on the insights you want to gain.

For over a decade, Israeli atmospheric water generator (AWG) company Watergen has been one of the players working to refine and grow air-to-water technology that can efficiently pull water vapor out of the air and collect it as fresh, filtered drinking water. Its previous work has focused heavily on large installations to supply communities, businesses and households, and its latest innovations shrink the water-harvesting tech into a form portable enough for overlanders, RVers, tiny home dwellers and other off-grid explorers.

The last time we ran into Watergen’s work was at CES 2,019 where it showed the Automotive AWG system. The center-console-integrated system was one of the wondrous highlights of the show, but it seemed an odd, limited use for a technology with such potential, a strange detour on a larger journey. Does the average passenger car driver really need a water tap over the cupholders?

Continue reading “Mobile H2O generator pulls drinking water from air for off-grid nomads” »

Investment Led by Alpha Wave Ventures, a Global Growth Stage Falcon Edge | Chimera Partnership, along with Abu Dhabi Growth Fund (ADG), Accelerates Business Expansion and Relentless Pursuit of AI Innovation.

Designing Plants To Bring Quality Of Life — Dr. Björn Örvar, Ph.D., CSO, EVP, Co-Founder, ORF Genetics (Iceland)

Dr. Björn Lárus Örvar, Ph.D. is Chief Scientific Officer, Executive VP of Business Development, and a Co-Founder of ORF Genetics (https://www.orfgenetics.com/), an innovative plant biotechnology company and a pioneer in developing and manufacturing high-quality recombinant proteins, such as growth factors, derived from barley plants.

Continue reading “Dr. Björn Örvar, PhD, CSO, EVP, Co-Founder, ORF Genetics — Designing Plants To Bring Quality Of Life” »

In today’s multicultural society, language is the biggest barrier between the employer and the employee. And now as more opportunities for remote jobs are open, employees’ biggest fear is the language barrier or the different accents that might put them in a tough spot with the company they are applying for. Three Stanford students decided to encounter this problem after one of their own friends lost a customer support job due to his accent.

We decided to help the world understand and be understood, student Andres Perez Soderi, who is one of the founders of the new firm, told IEEE Spectrum. The friend group-turned-partners include a computer science major from China, an AI-focused management science and engineering major from Russia and a business-oriented MSE major from Venezuela.

After extensive research, the group found out that a lot of work had been done for voice conversion for deep fake technology but very little attention was given to accent translation. “We knew about accent-reduction therapy and being taught to emulate the way someone else speaks in order to connect with them. And we knew from our own experience that forcing a different accent on yourself is uncomfortable,” added Soderi. “We thought if we could allow software to translate the accent [instead], we could let people speak naturally.” Hence, in 2020 they started a company called Sanas which specializes in different accent translation.

Artificial intelligence (AI) has big promise to solve problems in almost every industry. AI-supported, AI-fueled, AI-based technologies are now present and capable of automating tasks in retail businesses and wealth management, to name a couple. These automations reduce error, manage increasingly vast datasets, and free up humans to do intelligent, strategic tasks. At the enterprise level, AI-architecture is transforming capacity and steadily shaping the way businesses of the future operate.

Connecting to Core Systems of Commerce Businesses Operationalizing machine learning or AI at scale is a key priority for the world of retail and commerce. Enterprise tech stacks leverage AI and predictions for high-frequency, ambiguous situations. Active learning and continuous improvement of AI are embedded in business applications and workflows. Making use of these requires contextual stitching of signals to create a single unified view of the truth, which empowers teams to make contextual decisions in the present. While the technological frameworks have existed for the better part of a decade, most businesses have been unable to overcome the barrier of applying technology in real world contexts, or at scale.

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