2015 Top 10 Technology Trends

2015 could be an exciting year of Zero-to-One paradigm-busting innovation, honoring and distancing humanity from Excellent Sheep mode, bringing online more of our 7 billion people in a rich and connective collaboration to scale forward progress in a truly global society.

Top 10 Technology Trends: 

1. Deep-Learning
2. Wearables/IOT
3. Digital Payments
4. Video Gaming Hardware Mods
5. Quantified Self-Connected Car Integration
6. Consumer MedGadgets
7. Smarthome, Smartcity
8. Personal Robotics
9. Cognitive Computing
10. Blockchain Technology

Predictions for 2014, 2013, 2012, 2011, 2010, 2009 

Rethinking Major Web Properties in Glassware

Google Glass is starting to become even more exiting as a platform as more developers are investigating the functionality and building new apps.

A few key elements are that first it is important to recognize that Glass is a completely new and different technology platform. Glass is not just a cell phone for your face or another smartwatch, but a true cognitive augmentation platform and a critical moment in the continuous always-on information climate. A higher-resolution experience of life could be available in an information-rich environment. The eyes and ears senses are always on and augmented. Passive information can be ambiently contributed to any situation in real-time.

The current applications for Glass include picture-taking, video, maps, directions, search, and hangouts, but as usual with a new platform, the future apps that will harness the functionality in new ways are yet to be imagined. For example, what are some of the new ways of being social in the moment? 

All major web properties will need to rethink themselves in Glass – what is Glass-Instagram, Glass-Facebook, Glass-CRM, Glass-Tivo? 

App creation could ramp up quickly as development can be either native Android (Glass runs on the Android O/S), or standard web (e.g.; html5, css), particularly with this weekend's release of the Mirror API.

Sensor Mania! TechCrunch Disrupt Hardware Day!

Taking advantage of Sensor Mania! – the exploding wireless internet of things – TechCrunch Disrupt featured a special Hardware day on September 12, 2012 at its annual conference held in San Francisco, CA. 29 companies in a wide range of areas presented their hardware products, as 26 had at a similarly successful event in New York in May 2012. If underwhelming in ‘new new thing’ innovation, the startups at least appeared commercializable for the most part. Perhaps the biggest similarity in the eclectic mix was the high number of Kickstarter projects (the new alpha customer sales and financing platform).

The biggest interesting category of startups was biosensors, including a consumer EEG company (InteraXon), a sports sensor training program (GolfSense), an integrated biosensor platform for personalized pain management delivering the equivalent of white noise stimulus to nerve endings (Thimble Bioelectronics (integrating the Somaxis muscle sensor)), and a pedometer watch and social gaming fitness app for kids (Sqord).

Another interesting category of startups was internet-of-things companies. Ninja Blocks (‘the API for atoms’) was providing a standard offering of an internet-enabled console block plus five home sensor units (with distance, temperature, motion, camera, etc. sensor capabilities) for $200. Similarly, knut was providing a small, battery powered, Wi-Fi enabled sensor hub for real-time monitoring in the home environment for $80.

Figure 1: Electric Skateboard from Boosted Boards

The other companies were a mix including electric skateboards (Boosted Boards as shown in Figure 1), kitchen products (sous vide cooking (Nomiku) and high-end coffee brewing (Blossom Coffee)), standing desks, flashlights 2.0 (HexBright), rear-view cycling camera unit (Cerevellum), iPad kiosks (Lilitab), and the expected photo, audio (Vers), and gaming-related apps.

Long-tail economics extended to physical objects

Chris Anderson, editor of WIRED magazine, gave an excellent talk on August 5, 2010 at the PARC Forum. He explained how the long-tail economic models which have driven digital content (allowing consumers to access books, music, and movies in the 80% of the market that is not blockbusters) are now starting to appear in the world of physical goods.

The process of realizing long-tail economics in any sector is that of going one-to-many; democratizing the tools of creation, then the tools of production, and finally the tools of distribution. This is what happened with internet content such as publishing, where it is now easy for anyone to create, produce, and distribute content with blogs, twitter feeds, YouTube, etc. This has also happened with other digital content and some physical goods that are ordered and distributed via internet models (e.g.; Amazon, Zappos, etc.).

The new industrial revolution, argues Anderson, is in opensource hardware factories. The supply chain has now opened up to the digital and the small. The ability to make and distribute anything massively decentralizes traditional manufacturing and could completely reorganize industrial economies…atoms are the new bits. Matthew Sobol’s holons (communities of local resilience and sustainability) are in the works. Goods can be self-designed or crafted from available digital designs (e.g.; communities like ShapeWays and Ponoko), and then printed locally on the MakerBot or ordered from Alibaba or other global manufacturies. Opensource manufacturing is starting to have an impact on industries like auto design and construction (e.g.; Local Motors), drones (e.g.; DIY Drones), and general hardware design (empowered by the Beagle Board and Arduino).

It is likely that long-tail economics can be applied to many other areas. Medicine is the next obvious example, where health care, health maintenance, drug development, and disease treatment are already starting to shift into n=1 or n=small group tiers of greater customization and ideally, lower cost as more precision is obtained in the measuring and understanding of disease and wellness.

Show me the hardware apps!

There is a lot of energy focused on hardware hacking and composable controllable ubiquitous computing but there do not seem to be any usable consumer applications yet. Paul Saffo is somewhat of an ideological leader for the movement in calling ubiquitous sensors the next wave of infotech innovation, on the order of the PC revolution. Mashup culture is becoming more pervasive and the hardware hacking community is getting busy tinkering, inventing and collaborating online and IRL, particularly through Make, Hacker Spaces (165 worldwide), Dorkbot (80 worldwide), Fab Labs (26 worldwide), RepRap and the TechShop.

Where can I get some stuff to try it myself?

Hardware componentry and kits are available from many vendors such as Bug Labs, SparkFun Electronics, Gumstix, MakerSHED, Adafruit Industries and Digi-Key. Some standard building blocks include the Arduino computing platform (which even has a microcontroller board for wearables, the LilyPad) and the BUGbase Hiro P Edition. The TikiTag also looks quite interesting as an RFID reader that can be used to create web services linking physical world objects with the Internet.

Hardware hacking is reinventing everything
The best thing about hardware hacking is that every aspect is up for reinvention, including at minimum, interfaces, signal processing, form factor and power. Additional interfaces are coming, voice (earlier this week, IBM announced a synthesized voice that is nearly indistinguishable from human), haptic (like Anarkik3D) and projection are the most obvious. Another novel interface could be a hack for the rudimentary manipulation of household objects with the Wii hand-held controller. Signal processing could include more options for shifting between and integrating digital and analog signals, Paul Saffo suggests a return to analog computing but hybridization and rapid switching could become standard. Form factors in various stages of maturity include any range of computing via implant (brain-computer interfaces), wearable, adjacent or distributed architecture. Power is a challenging problem to solve; some interesting innovations could emerge from energy-harvesting techniques such as piezoelectronics, optical Wi-Fi and thermoelectrics, converting, respectively, sound waves, light and heat to energy.