MIPS, the company redefining innovative compute subsystems for edge use cases, has unveiled its vision for the future of Physical AI—paving the way for a new generation of intelligent, self-directed machines.
Physical AI Advances with MIPS’ Atlas Compute Subsystems Read More »
MIPS is launching its Atlas chip designs for physical AI platforms such as industrial robots and autonomous cars.
MIPS launches Atlas chip designs for industrial robots and autonomous cars Read More »
MIPS has today introduced its MIPS Atlas portfolio, a product suite comprising compute subsystems and software platform to develop autonomous edge solutions addressing the market opportunity for physical AI: the ability to sense, think and act in real time to deliver on the promise of precision intelligent industrial robotics and autonomous mobility platforms.
MIPS Takes System-Level Approach to Physical AI Read More »
MIPS has unveiled the MIPS Atlas portfolio of compute subsystems, designed to empower leading automotive, industrial, and embedded technology companies to deploy safe, secure, and efficient Physical AI at the edge.
Compute subsystems bring real-time intelligence to AI platforms Read More »
MIPS, a decades-old Silicon Valley company that once competed directly with Arm Holdings (O9Ty.F), opens new tab in providing a computing architecture, said on Tuesday it was shifting strategies to design a suite of chips for artificial intelligence-enabled robots.
MIPS shifts strategy toward robots and designing chips Read More »
Physical AI will enable the next generation of autonomous robots to sense the world around them, think to create a plan based on their role and situational understanding, and act to implement that plan. The combination of functionally safe computing and real-time computing combined with multi-modal AI will drive intelligence into action for the $1T
Introducing the MIPS Atlas Portfolio for Physical AI Read More »
Autonomous platforms sense the world around them with a variety of inputs, from radar, lidar, and cameras, to gyroscopes, accelerometers, and atmospheric sensors. These sensors are rapidly increasing in fidelity with more resolution, color depth, accuracy, and increased sampling periods generating exponentially more data. Fusing this data together, establishing priorities and the right data formats,
Introducing MIPS Sense data movement engines Read More »
The age of physical AI is approaching, taking the virtual world of digital twins and move it into the physical world of autonomous platforms that can understand the world around them and make decisions, and quickly adapt to new tasks. Today’s robots specialize in narrowly defined tasks, built for simple automation of repetitive behavior. The
Real-Time Intelligence for Physical AI at the Edge Read More »
The advent of physical AI promises to deliver autonomous platforms that are more able to operate in the changing world around them. Decisions made by the physical AI models need to be enacted by robots that move in a safe, precise manner. With physical AI models using reinforcement learning to understand the world, the next-generation
Moving the World with MIPS M8500 Real-Time Compute Solutions Read More »
For years, the industry has advocated for “shifting left” in software development. This methodology allows software teams to begin their work earlier, leveraging virtual platforms for algorithm and application development. By aligning hardware and software teams from the start, the process becomes more efficient, catching specification vagaries early. Instead of waiting for hardware to be
The Shift-Left Approach to Software Development Read More »
