Our writers look at the four hot trends to watch out for this year.
This time last year we did something reckless.
Category: robotics/AI – Page 836
Qualcomm Builds Momentum In AI Inference
Qualcomm extends its presence in AI inference processing, began with its Cloud AI 100 series accelerators, with the launch of its new Qualcomm Cloud AI 100 Ultra.
While Qualcomm’s Cloud AI 100 accelerator family has long been available from several tier-one technology providers such as Lenovo, Hewlett Packard Enterprise (HPE), Inventec, Foxconn, Gigabyte, and Asus, it’s starting to see deployment in the public cloud.
Amazon Web Services (AWS) recently introduced its first Qualcomm-based accelerated instance type, the DL2q, featuring the Qualcomm Cloud AI 100. While the new instance type can be used for general inference applications, the companies highlight the accelerator’s specific applicability in developing automotive ADAS and related applications – an area in which Qualcomm is rapidly expanding its presence.
Digital images designed to trick AI are affecting humans too
Research unveils the surprising connection between adversarial images impacting both AI and human perception, emphasizing the need for enhanced AI safety.
Discover the subtle influence of adversarial images on human vision and AI systems, underscoring the crucial intersection of technology and perception.
Microsoft’s AI ‘Copilot Key’ marks major keyboard change after 30 years
It’s the first significant alteration to the Windows keyboard in almost thirty years.
Microsoft is adding a dedicated Copilot key to PC keyboards, adjusting the standard Windows keyboard layout for the first time since 1994.
2024 will see Samsung lead the mobile AI wave with the new Galaxy S24
Over one billion smartphones with built-in AI are to be shipped by 2027, according to Counterpoint Research.
Samsung is all set to kick off the new year of AI phones with new launch this month. The first of many, Galaxy S24 will be released on January 17 in San Jose, California through a livestream.
Are autonomous labs the future of science?
Self-driving labs can perform experiments thousands of times faster than a human and they don’t need to sleep. That means more science in less time, but many questions remain, says Alex Wilkins
By Alex Wilkins
Cyborg computer combining AI and human brain cells really works
A new biohybrid computer combining a “brain organoid” and a traditional AI was able to perform a speech recognition task with 78% accuracy — demonstrating the potential for human biology to one day boost our computing capabilities.
The background: The human brain is the most energy efficient “computer” on Earth — while a supercomputer needs 20 mega watts of power to process more than a quintillion calculations per second, your brain can do the equivalent with just 20 watts (a megawatt is 1 million watts).
This has given researchers the idea to try boosting computers by combining them with a three-dimensional clump of lab-grown human brain cells, known as a brain organoid.
Networks of silver nanowires seem to learn and remember, much like our brains
Though highly capable – far outperforming humans in big-data pattern recognition tasks in particular – current AI systems are not intelligent in the same way we are. AI systems aren’t structured like our brains and don’t learn the same way.
AI systems also use vast amounts of energy and resources for training (compared to our three-or-so meals a day). Their ability to adapt and function in dynamic, hard-to-predict and noisy environments is poor in comparison to ours, and they lack human-like memory capabilities.
Our research explores non-biological systems that are more like human brains. In a new study published in Science Advances, we found self-organising networks of tiny silver wires appear to learn and remember in much the same way as the thinking hardware in our heads.
New technology enables drones to navigate around obstacles autonomously
Strategic capability
The development of the new technology was done for the effective utilization of drones in life-saving search and rescue operations, as well as the dependable delivery of packages. For this, their ability to navigate through dynamic environments seamlessly and without mishaps is crucial.