- We’ll stick to playing rock-paper-scissors with AI, but all of this is leading to some serious visibility for AI as an emerging technology – which as investors make us want to get some skin in the game.
- The recent news that artificial intelligence (AI) startup Afiniti may have confidentially filed for IPO was the first time that we started to feel like this thing might be revving up for real now.
- It wasn’t just because this would be the first pure-play AI startup to see an IPO, it was because we really couldn’t believe how effective Afiniti’s technology was in adding value.
- Secondly we’re also seeing a very large number of AI startups getting into the game (over 1,500) which is the same sort of pile-on mentality we saw in the dot-com era.
- Now you just add a tagline to that same website that says “powered by AI” and now you’re an “AI company”.
If you’ve played Texas Hold’em, then you know how tough it is to be a good poker player. Lots of venture capitalists like to play poker, so it wasn’t surprising to see one who thought to himself “let’s see how good artificial intelligence (AI) really is“. He consulted a team of engineers and computer scientists to see where they might be able to exploit the AI agent named Lengpudashi. They then played 36,000 hands over 5 days and the AI agent kicked the isht out of them. We’ll stick to playing rock-paper-scissors with AI, but all of this is leading to some serious visibility for AI as an emerging technology – which as investors make us want to get some skin in the game. The problem is, there aren’t many ways to do that yet.
Continue reading “Is Artificial Intelligence the Next Dot-Com Bubble?”
- Are you an AI (artificial intelligence) aspirant who’s confused on which programming language to pick for your next project?
- And there’s no authoritative answer as to which programming language you should use for AI project.
- Python is one of the most widely used programming languages in the AI field of Artificial Intelligence thanks to its simplicity.
- It is an object-oriented programming language that focuses on providing all the high-level features needed to work on AI projects, it’s portable, and it offers in-built garbage collection.
- Peter Norvig, the famous computer scientist who works extensively in the AI field, and also the writer of the famous AI book, “Artificial Intelligence: A modern approach,” explains why Lisp is one of the top programming languages for AI development in a Quora answer.
Are you one of the AI aspirants who is confused on which programming language to pick for your next project? Then, you have come to the right place as here we are going to look at the best 4 programming languages for AI development.
Continue reading “The 5 best programming languages for AI development”
- Google’s neural network, software which uses statistics to approximate how the brain learns, taught itself to detect the shapes of cats and humans with more than 70% accuracy.
- “Over the last five years it’s been pretty incredible, the progress of deep [neural] nets,” says Grant Van Horn, lead competition organizer and graduate student at California Institute of Technology.
- Van Horn says this latest Google competition differs from ImageNet, which forces algorithms to identify a wide variety of objects like cars and houses and boats, because iNat requires AI to examine the “nitty-gritty details” that separate one species from another.
- On a scale from general image recognition (ImageNet) to specific (facial recognition,where most faces generally look the same and only slight variations matter), iNat lies somewhere in the middle, Van Horn says.
- Van Horn, who has specialized in building AI that distinguishes differences between birds, said that the iNat competition illustrates how AI is beginning to help people learn about the world around them, rather than just help them organize their photos, for instance.
In 2012, Google made a breakthrough: It trained its AI to recognize cats in YouTube videos. Google’s neural network, software which uses statistics to approximate how the brain learns, taught itself to detect the shapes of cats and humans with more than 70% accuracy. It was a 70% improvement over any other machine learning at the time. Five years later,…
Continue reading “Five years ago, artificial intelligence was struggling to identify cats. Now it’s trying to tackle 5000 species — Quartz”
- At one end of the spectrum, a pure view of AI, sits those individuals who think that until we have Data on “Star Trek” — who was a synthetic being — we don’t have AI.
- In digital banking, chatbots facilitating customer service, machine learning to make the loan underwriting process more efficient and other innovations are improving the industry’s efficiency.
- This definition of AI has parallels with the Turing Test, named for Alan Turing, to measure a machine’s ability to act like a human.
- Innovations such as Alexa and the Facebook Messenger Service Bot are just examples of transformative technology.
- But as machine learning advances in the financial services industry, it is hard to determine what is real, and what is hype and theory.
The hype surrounding voice technology, bots and machine learning suggests that artificial intelligence is increasingly common in financial services. But that is not the purist’s view of what AI represents.
Continue reading “Does AI actually exist yet?”
- The Pegasystems survey of 6,000 customers across six countries found that close to three quarters (68%) of Brits express some sort of fear about AI, with almost one quarter (23%) worried about robots taking over the world.
- Further findings revealed the potential impact of these deep-rooted fears on businesses, with less than one in three (28%) of British consumers comfortable with businesses using AI to engage with them.
- Robots and AI were also found to confuse consumers, with the survey exposing a basic misunderstanding of AI.
- Less than a quarter (23%) of UK consumers who report no AI experience feel at ease with businesses using AI to engage with them.
- But for UK AI consumer veterans, this number jumps to 56% – a full 33 points higher.
A Pegasystems survey has revealed the extent of consumer AI fears, with almost one quarter (23%) of Brits were worried about robots taking over the world.
Continue reading “Nearly 1 in 4 fear robots taking over the world”
- Still, computer scientist and Coursera co-founder Andrew Ng says, fears that AI will replace humans are misplaced: “Despite all the hype and excitement about AI, it’s still extremely limited today relative to what human intelligence is.”
- “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,” Ng says.
- “I would say the most scarce resource today is actually talent, because AI needs to be customized for your business context,” Ng says.
- “Worrying about evil AI killer robots today is a little bit like worrying about overpopulation on the planet Mars.”
- Evil AI hype, he says, is being used to whitewash a much more serious issue, which is job displacement.
A computer scientist discusses artificial intelligence’s promise, hype, and biggest obstacles.
Continue reading “Andrew Ng: Why AI Is the New Electricity”
A couple of weeks ago, Coca-Cola’s global senior digital director Mariano Bosaz told Adweek he wanted “to start experimenting” with “automated narratives,” including using bots for music and editing the closing credits of commercials.
Continue reading “How 4 Agencies Are Using Artificial Intelligence as Part of the Creative Process – Adweek”