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on the atlas — 19

highlights — 49

Protex AI Founded in 2020 and backed by YCombinator, Notion Capital, and Playfair Capital, Irish startup Protex AI is helping enterprise safety teams to revolutionize how they make proactive safety decisions that contribute to a safer work environment.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Founded by two Stanford and MIT grads and former Apple employees in 2015 and based in Palo Alto, CA, Instrumental is leading the way in ensuring product quality in electronics manufacturing.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Customers load in their own data, which are automatically pre-labeled, and can then be rapidly edited and revised.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Built-in support for common industrial robots means that the robot calibration process, while traditionally time consuming (on the scale of hours), can be completed in less than 20 minutes.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
. The Mech-Eye industrial 3D camera uses structured light technology to generate high resolution, high accuracy point clouds.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Mech-Mind Robotics is the largest 3D vision company in China, and one of the world’s largest providers of 3D vision cameras and machine vision software for robotic automation.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
This can also be exacerbated by class imbalance, where there are many more examples of “normal” products than “defective” products.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Computer vision has already become indispensable in ensuring quality control in industrial processes
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
As with many computer vision applications in manufacturing, data availability and quality in machine tending is a significant challenge. Machine vision systems for machine tending often need to be built with limited labeled training data.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
The process of loading and stacking products onto a pallet is known as palletizing.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
point clouds from LiDAR sensors to generate these 3D representations
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
In many cases, however, grabbing an object from a bin requires mapping depth information and performing 3D object detection to situate the object in three dimensional space.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
Labor shortages: According to projections by Deloitte, there will be more than two million unfilled manufacturing jobs in the United States by 2030.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
computer vision in manufacturing and industrial automation.
How Computer Vision Is Changing Manufacturing in 2023 - Voxel51
As with many technological revolutions, AI may lead to further increases in wealth and income inequalities unless new fiscal policies are put in place.
Don't Fear the Terminator - Scientific American Blog Network
Even among humans, those who seek positions of power are rarely the smartest among us.
Don't Fear the Terminator - Scientific American Blog Network
These and other observations suggest that dominance-seeking behavior is more correlated with testosterone than with intelligence.
Don't Fear the Terminator - Scientific American Blog Network
Interestingly, male elephants live in looser groups and frequently fight for dominance, because only the strongest are able to mate with receptive females.
Don't Fear the Terminator - Scientific American Blog Network
We might focus instead on intelligence as an enabler of enhanced cooperation
Don't Fear the Terminator - Scientific American Blog Network
Female Asian elephants live in tightly cooperative groups but do not exhibit clear dominance hierarchies or matriarchal leadership.
Don't Fear the Terminator - Scientific American Blog Network
In AI, intelligence and survival are decoupled, and so intelligence can serve whatever goals we set for it.
Don't Fear the Terminator - Scientific American Blog Network
But because AI systems did not pass through the crucible of natural selection, they did not need to evolve a survival instinct.
Don't Fear the Terminator - Scientific American Blog Network
we tend to conflate intelligence with the drive to achieve dominance
Don't Fear the Terminator - Scientific American Blog Network
economic disruption, failures in life-critical applications and weaponization by bad actors
Don't Fear the Terminator - Scientific American Blog Network
To a neuroscientist, this line of reasoning is puzzling.
Don't Fear the Terminator - Scientific American Blog Network
Takeover by AI has long been the stuff of science fiction. In 2001: A Space Odyssey, HAL, the sentient computer controlling the operation of an interplanetary spaceship, turns on the crew in an act of self-preservation.
Don't Fear the Terminator - Scientific American Blog Network
never needed to evolve, so it didn’t develop the survival instinct that leads to the impulse to dominate others
Don't Fear the Terminator - Scientific American Blog Network
A good social app has strong network effects, which means that the product should be getting more valuable as more users join! If you’re not seeing this, it may mean that the product is struggling to scale beyond early adopters.
How to Benchmark Your Social App | a16z
For example, instead of seeing your n-day retention data for the most recent cohort, or blended across all users, we’ll want to analyze this data on a monthly basis.
How to Benchmark Your Social App | a16z
When possible, we like to see several cohorts of users hit at least that d30 retention mark, as this is a much more accurate indicator than the early numbers.
How to Benchmark Your Social App | a16z
Users will be very active for the first few days, or even the first few weeks.
How to Benchmark Your Social App | a16z
the longer your time frame is, the more valuable your metrics are
How to Benchmark Your Social App | a16z
We tend to find that a few thousand active users is where metrics start to be predictive of how an app will perform at scale.
How to Benchmark Your Social App | a16z
Why? Early users tend to be the highest engagement and the highest retention.
How to Benchmark Your Social App | a16z
If there is a significant degradation of retention between, for example, d7 and d30, and your cohorts haven’t yet flattened out by d30, this can be an area of concern as it implies that your longer-term retention may not hold up. We see this most often for products that “juice” early retention via heavy early notification loads, which may work for the first few weeks but tend to become less effective over time.
How to Benchmark Your Social App | a16z
This strict definition looks at what percentage of an original cohort enters the app on each specific day.
How to Benchmark Your Social App | a16z
Having tried to increase the retention rate during my time at Snap, I can assure you that improving the day 30 (d30) retention even 1% at scale was an incredible feat.
How to Benchmark Your Social App | a16z
L-ness curve! This metric looks at the distribution of users by number of days active over a certain time period, and can be measured on either a weekly or monthly basis.
How to Benchmark Your Social App | a16z
However, if more than 10-20% of your users are coming from paid sources at the early stages, you’ll likely want to rethink your acquisition strategy. No amount of marketing dollars can fix a product, so make sure that your growth is coming from the product itself.
How to Benchmark Your Social App | a16z
growth comes organically
How to Benchmark Your Social App | a16z
Based on a16z’s private benchmarks of hundreds of early stage social apps, here’s what OK, good, and great look like for monthly user growth in seed-stage consumer social companies: OK – 20% Good – 35% Great – 50%
How to Benchmark Your Social App | a16z
eventually need to upgrade to DAUs
How to Benchmark Your Social App | a16z
cceptable as a starting metric
How to Benchmark Your Social App | a16z
For most consumer social apps, this is daily active users (DAUs), as you want to have people using your product every day.
How to Benchmark Your Social App | a16z
A few early data points tend to predict whether a social app will plateau at 10,000 active users or go mainstream with millions of users.
How to Benchmark Your Social App | a16z
Success in the consumer social space can feel random.
How to Benchmark Your Social App | a16z
looks like a black box.
How to Benchmark Your Social App | a16z
The winding down of its crypto bet has not previously been reported. Founders Fund declined to comment.
Peter Thiel’s Fund Wound Down 8-year Bitcoin Bet Before Market Crash - WorldNewsEra
Peter Thiel, closed almost all of its eight-year bet on cryptocurrencies shortly before the market began to crash last year, generating about $1.8bn in returns.
Peter Thiel’s Fund Wound Down 8-year Bitcoin Bet Before Market Crash - WorldNewsEra