When your smart home takes stock of who’s there before turning the heat on to their favored temperature, that’s anticipatory technology. CNET editor-at-large Brian Cooley and CBS Interactive Tech Sites senior vice president, content strategy Lindsey Turrentine led a CES discussion on how data including location, human behavior, facial recognition and object recognition can help smart homes and smart devices anticipate human needs. “Some things will get better,” said Cooley. “And others might be unnerving.” Continue reading CES 2020: Smart Devices Enter an Anticipatory Tech World

USC School of Cinematic Arts professor and editor Norman Hollyn spoke at a conference on machine learning about ML tools available today and those that are imminent for editing film/TV content. Underlying the growing importance of ML-powered tools for editors, Hollyn pointed out that editors who resisted the advent of digital nonlinear editing in the 1990s exited the industry. “AI is bringing things into the post production world and if we don’t start to look at and embrace them, we’ll be ex-editors,” he said. Continue reading NAB 2018: Machine-Learning Tools to Become Vital for Editing

TV technology is getting closer to monitoring and analyzing our facial expressions in order to distinguish between boredom and enthusiasm to better understand our viewing tastes. Software from media startup Affectiva could usher in a new frontier in television viewing, one in which our devices watch our reactions and offer content suggestions or enable brands to provide more targeted ads. If consumers are willing to allow their emotional data to be gathered, movie and TV show recommendations from Netflix, for example, could become more relevant. Continue reading Facial Monitoring Software Could Impact Your TV Experience

New technology allows computers to be programmed to recognize facial expressions — even the most subtle, fleeting expressions. Using frame-by-frame video analysis, computer software can read the muscular changes within people’s faces that indicate a range of emotions. Many predict such software will be used via computer webcams to rate how users respond to certain content — like games or videos — and cater to those users’ perceived needs or desires accordingly. Continue reading Myriad Applications Envisioned for Facial Recognition Tech