Neural nets as described in many recent articles are very capable at recognizing objects and written and spoken text. But like anything we can build, or even imagine, they have limitations. One problem is that after training, the neural nets we usually encounter are essentially stateless. They can recognize static patterns but… Read More
Google, Deep Reasoning and Natural Language Understanding
Understanding natural language is considered a hard problem in artificial intelligence. You could be forgiven for thinking this can’t be right – surely language recognition systems already have this problem mostly solved? If so, you might be confusing recognition with understanding – loosely, recognition is the phonology… Read More
DAC 2016 – Register Now
DAC is again going to be in Austin (reason enough to go), from June 6[SUP]th[/SUP]-8[SUP]th[/SUP] for the main event. A number of events caught my eye:
- Monday AM – custom hardware for algorithmic trading. If you want to know more about FinTech (technology for finance) this could be for you
- Another Monday morning session on Linux
Here’s the advantage that keeps Silicon Valley ahead of the world
A trait shared by the fastest growing and most disruptive companies in history – Google, Amazon, Uber, AirBnb, and eBay – is that they aren’t focused on selling products, they are building platforms. The ability to leverage the network effects of a platform is something that the technology industry learned… Read More
More on the Practical Uses of Automation
There’s a good article in the March issue of the Communications of the ACM which follows a theme I commented in my “One, Two Many” post. But the CACM article has a better title: “Automation should be like Iron Man, not Ultron”.
For anyone who hasn’t seen the movies, Iron Man is a man (Tony Stark)… Read More
Singularity, Semiconductors and Software
One of my all-time favorite movies is 2001 A Space Odyssey where one of the leading roles is an AI-based system aboard a spacecraft named Hal that is designed to be a perfect machine yet makes a mistake and then cascades into assaulting and eliminating the human crew members. The future time when semiconductors and software combine… Read More
Silicon Valley Myth Keeps Growing
I thought my ears were deceiving me when a commentator (I believe it was David Brooks) gushed with admiration on NPR a few years ago that it was great that Jeff Bezos of Amazon was injecting Silicon Valley thinking into the Washington Post. What?!?!?! Unless my Google got jammed, Amazon is in Seattle. But Silicon Valley got the tagline.… Read More
Google v. IBM v. Microsoft Artificial Intelligence Strategy Insights from Patents
Patents can provide insights regarding the state of the art of artificial Intelligence (AI) technology innovation, and thus, a strategic move of a company for the AI innovation leadership. To compare the technology innovation strategy of the three leading companies in the AI business, Google, IBM and Microsoft, patent information… Read More
Yelling fire in a crowded chip factory
Semiconductor market forecasts for 2016 are all over the place. Jim Handy and Tom Starnes floated a report in January looking for 10% growth. Jim Feldhan at Semico turned outright negative at -0.3% just a couple weeks ago. Tossing out the high and low scores, analysts tracked by GSA range from 0.3% to 7.0% in March updates. What’s … Read More
One, Two, Many – Why You May Not Be Replaced By A Robot
Some aboriginal tribes in Australia see little value in counting and are believed to discriminate only between “one”, “two” and “many”. This is not through lack of intelligence; beyond two they simply lose interest in the details. We can smile and feel superior but I suspect we are not much better when it comes to predicting our technology… Read More
Facing the Quantum Nature of EUV Lithography