This novel technology looks like a sci-fi device. But it’s real.
It seems like something from a science fiction movie: a specialized, electronic headband and using your mind to control a robot.
Oonal/iStock.
Continue reading “Mind control: 3D-patterned sensors allow robots to be controlled by thought” »
AI-related jobs are on the rise but funding has taken a dip.
The technology world goes through waves of terminologies. Last year, was much about building the metaverse until it turned to artificial intelligence (AI) which has occupied the top news spots almost everywhere. To know whether this wave will last or wither off, one needs to look at some trusted sources in the domain, such as the one released by Stanford University.
For years now, the Institute for Human-Centered Artificial Intelligence at Stanford has been releasing its AI Index on an annual basis.
Continue reading “New Stanford report highlights the potential, costs, and risks of AI” »
Social media has already illustrated the harm that powerful technologies can do without the right safeguards, said the President.
U.S. President Joe Biden warned of the dangers of using artificial intelligence (AI) while putting the onus on making safe products on technology companies.
The White House/ Wikimedia Commons.
Continue reading “Joe Biden warns of AI dangers, urges tech companies to make safe products” »
(0:00) Nick kicks off the show.
(1:24) Under the hood of ChatGPT
(7:53) What is a neural net?
(10:05) Cast.ai — Get a free cloud cost audit with a personal consultation at https://cast.ai/twist.
(11:33) Determining values and weights in a neural net.
(18:28) Vanta — Get $1000 off your SOC 2 at https://vanta.com/twist.
(19:33) Emulating the human brain.
(23:26) Defining computational irreducibility.
(26:14) Emergent behavior and the rules of language.
(31:49) Discovering logic + creating a computational language.
(38:10) Clumio — Start a free backup, or sign up for a demo at https://clumio.com/twist.
(39:38) Wolfram’s ChatGPT plugin.
(43:46) The rapid pace of AI
(58:45) The “Post-Knowledge Work” era.
(1:03:52) The unintended consequences of AI
(1:11:45) Rewarding innovation.
(1:16:12) The possibility of AGI
(1:20:07) Creating a general-purpose robotic system.
Check out Wolfram Research: https://www.wolfram.com/
Continue reading “Stephen Wolfram on AI’s rapid progress & the ‘Post-Knowledge Work Era’ | E1711” »
Is artificial intelligence on the path to replacing people and jobs? Not quite. GSB professors argue that instead of viewing #AI as a competitor, we should be embracing it as a collaborator.
“The idea that AI is aimed toward automation is a misconception. There’s so much more opportunity for this technology to augment humans than the very narrow notion of replacing humans.” Professor Fei-Fei Li, co-director of the Stanford Institute for Human-Centered Artificial Intelligence.
Link to
Data has emerged as one of the world’s greatest resources, underpinning everything from video-recommendation engines and digital banking, to the burgeoning AI revolution. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in real-time scenarios can be a mammoth undertaking.
For context, applications that don’t require instant, real-time data access can simply combine and process data in batches at fixed intervals. This so-called “batch data processing” can be useful for things like processing monthly sales data. But often, a company will need real-time access to data as it’s created, and this might be pivotal for customer support software that relies on current information about each and every sale, for example.
Elsewhere, ride-hail apps also need to process all manner of data points in order to connect a rider with a driver — this isn’t something that can wait a few days. These kinds of scenarios require what is known as “stream data processing,” where data is collected and combined for real-time access, which is far more complex to configure.
Patreon: https://www.patreon.com/daveshap.
GitHub: https://github.com/daveshap.
Cognitive AI Lab Discord: https://discord.gg/yqaBG5rh4j.
Artificial Sentience Reddit: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives Reddit: https://www.reddit.com/r/HeuristicImperatives/
Continue reading “AGI Unleashed: Game Theory, Byzantine Generals, and the Heuristic Imperatives” »
A team of biomedical researchers has developed a non-invasive, more accurate, and inexpensive “aging clock” for tracking and slowing human aging by examining retinal images and using trained deep-learning models of the eye’s fundus (the deepest area of the eye), using a new “eyeAge” system.
The researchers are affiliated with Buck Institute for Research on Aging, Google Research, Google Health, Zuckerberg San Francisco General Hospital, Post Graduate Institute of Medical Education, and Research (India), and University of California, San Francisco.
Tracking eye changes that accompany aging and age-related diseases: the eyeAge system.
I hacked my brain with a compact electroencephalogram (EEG) and connected it to GPT-4 with the OpenAI API. In this crazy tutorial, you’ll learn how to use JavaScript to read your brainwaves.
#tech #javascript #science.
Continue reading “I literally connected my brain to GPT-4 with JavaScript” »
Researchers have designed a 3D-patterned, graphene.
Graphene is an allotrope of carbon in the form of a single layer of atoms in a two-dimensional hexagonal lattice in which one atom forms each vertex. It is the basic structural element of other allotropes of carbon, including graphite, charcoal, carbon nanotubes, and fullerenes. In proportion to its thickness, it is about 100 times stronger than the strongest steel.
