Monday 23rd June 2014
Voice Recognition
Tim Tuttle, CEO and founder of Expect Labs, said in the last 18 months, voice recognition accuracy improved 30%—a bigger gain than the entire decade previous. A third of searches are now being done using voice commands.
Voice recognition uses machine learning algorithms that depend on people actually using them to get better. Tuttle believes we’re at the beginning of a virtuous cycle wherein wider adoption is yielding more data; more data translates into better performance; better performance results in wider adoption, more data, and so on – Jason Dorrier
Sunday 13th March 2016
MARKETS
Investing in Robotics and AI Companies
Here are some AI (and robotics) related companies to think about.
I’m not saying you should buy them (now) or sell for that matter, but they are definitely worth considering at the right valuations.
Think about becoming an owner of AI and robotics companies while there is still time. I plan to buy some of the most obvious ones (including Google) in the ongoing market downturn (2016-2017).
Top 5 most obvious AI companies
- Alphabet (Google)
- Facebook (M, Deep Learning)
- IBM (Watson, neuromorphic chips)
- Apple (Siri)
- MSFT (skype RT lang, emo)
- Amazon (customer prediction; link to old article)
Yes, I’m US centric. So sue me 🙂
Other
- SAP (BI)
- Oracle (BI)
- Sony
- Samsung
- Baidu
- Alibaba
- NEC
- Nidec
- Nuance (HHMM, speech)
- Marketo
- Opower
- Nippon Ceramic
- Pacific Industrial
Private companies (*I think):
- *Mobvoi
- *Scaled Inference
- *Kensho
- *Expect Labs
- *Vicarious
- *Nara Logics
- *Context Relevant
- *MetaMind
- *Rethink Robotics
- *Sentient Technologies
- *MobileEye
General AI areas to consider when searching for AI companies
- Self-driving cars
- Language processing
- Search agents
- Image processing
- Robotics
- Machine learning
- Experts
- Oil and mineral exploration
- Pharmaceutical research
- Materials research
- Computer chips (neuromorphic, memristors)
- Energy, power utilities
